Anastasios Tefas

Orcid: 0000-0003-1288-3667

Affiliations:
  • Aristotle University of Thessaloniki, Greece


According to our database1, Anastasios Tefas authored at least 459 papers between 1998 and 2024.

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Bibliography

2024
Vpit: real-time embedded single object 3D tracking using voxel pseudo images.
Neural Comput. Appl., November, 2024

Semi-supervised learning for on-street parking violation prediction using graph convolutional networks.
Neural Comput. Appl., November, 2024

Deep reinforcement learning for financial trading using multi-modal features.
Expert Syst. Appl., March, 2024

AnIO: anchored input-output learning for time-series forecasting.
Neural Comput. Appl., February, 2024

Online probabilistic knowledge distillation on cryptocurrency trading using Deep Reinforcement Learning.
Pattern Recognit. Lett., 2024

Vision-based drone control for autonomous UAV cinematography.
Multim. Tools Appl., 2024

Multiplicative update rules for accelerating deep learning training and increasing robustness.
Neurocomputing, 2024

Using Part-based Representations for Explainable Deep Reinforcement Learning.
CoRR, 2024

UAV Active Perception and Motion Control for Improving Navigation Using Low-Cost Sensors.
CoRR, 2024

Deep label embedding learning for classification.
Appl. Soft Comput., 2024

A TeraFLOP Photonic Matrix Multiplier using Time-Space-Wavelength Multiplexed AWGR-based Architectures.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Optics-informed Neural Networks: Bridging Deep Learning with Photonic Accelerators.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

Bi-Directional Knowledge Transfer For Continual Deep Reinforcement Learning in Financial Trading.
Proceedings of the 34th IEEE International Workshop on Machine Learning for Signal Processing, 2024

Multiplicative RMSprop Using Gradient Normalization for Learning Acceleration.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Large Models in Dialogue for Active Perception and Anomaly Detection.
Proceedings of the Pattern Recognition - 27th International Conference, 2024

Quantization-Aware Training for Multi-Agent Reinforcement Learning.
Proceedings of the 32nd European Signal Processing Conference, 2024

Probabilistic Knowledge Transfer for Lightweight Vision Transformers.
Proceedings of the 32nd European Signal Processing Conference, 2024

2023
Mutual Information-Based Neural Network Distillation for Improving Photonic Neural Network Training.
Neural Process. Lett., December, 2023

Deep residual error and bag-of-tricks learning for gravitational wave surrogate modeling.
Appl. Soft Comput., November, 2023

Mixed-precision quantization-aware training for photonic neural networks.
Neural Comput. Appl., October, 2023

Modeling limit order trading with a continuous action policy for deep reinforcement learning.
Neural Networks, August, 2023

Robust Architecture-Agnostic and Noise Resilient Training of Photonic Deep Learning Models.
IEEE Trans. Emerg. Top. Comput. Intell., February, 2023

A multiple-UAV architecture for autonomous media production.
Multim. Tools Appl., 2023

Photonic Neural Networks and Optics-informed Deep Learning Fundamentals.
CoRR, 2023

Non-negative isomorphic neural networks for photonic neuromorphic accelerators.
CoRR, 2023

Leveraging Deep Learning and Online Source Sentiment for Financial Portfolio Management.
CoRR, 2023

Deep Learning for Energy Time-Series Analysis and Forecasting.
CoRR, 2023

Variational Voxel Pseudo Image Tracking.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Symmetric Fine-Tuning for Improving Few-Shot Object Detection.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Deep Active Perception for Object Detection using Navigation Proposals.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Deep Active Robotic Perception for Improving Face Recognition Under Occlusions.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

Domain-Specific Large Language Model Finetuning using a Model Assistant for Financial Text Summarization.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2023

DDOS attack identification via a silicon photonic Deep Neural Network with 50 GHz input and weight update.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Programmable Photonic Neural Networks for advanced Machine Learning tasks.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2023

Leveraging Active and Continual Learning for Improving Deep Face Recognition in-the-Wild.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Retrieval-Based Methodology for Few-Sample Logo Recognition.
Proceedings of the 25th IEEE International Workshop on Multimedia Signal Processing, 2023

Deep Reinforcement Learning With Action Masking for Differential-Drive Robot Navigation Using Low-Cost Sensors.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Quantization-Aware Training for Mixed Precision Photonic Neural Networks.
Proceedings of the 33rd IEEE International Workshop on Machine Learning for Signal Processing, 2023

Tweaking EfficientDet for frugal training.
Proceedings of the 2023 ACM International Conference on Multimedia Retrieval, 2023

Anchored Input-Output Learning for Electrical Load Demand Forecasting.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

Deep Learning for Active Robotic Perception.
Proceedings of the 15th International Joint Conference on Computational Intelligence, 2023

A Sharpe Ratio Based Reward Scheme in Deep Reinforcement Learning for Financial Trading.
Proceedings of the Artificial Intelligence Applications and Innovations, 2023

Enabling High-Resolution Pose Estimation in Real Time Using Active Perception.
Proceedings of the IEEE International Conference on Image Processing, 2023

Improving Electric Load Demand Forecasting with Anchor-Based Forecasting Method.
Proceedings of the IEEE International Conference on Acoustics, 2023

Cryptosentiment: A Dataset and Baseline for Sentiment-Aware Deep Reinforcement Learning for Financial Trading.
Proceedings of the IEEE International Conference on Acoustics, 2023

Improving Inertial-Based UAV Localization using Data-Efficient Deep Reinforcement Learning.
Proceedings of the 31st European Signal Processing Conference, 2023

End-to-End Trainable Gaussian Filtering for Electrocardiogram Signal Classification Using Deep Learning.
Proceedings of the 31st European Signal Processing Conference, 2023

Residual Error Learning for Electricity Demand Forecasting.
Proceedings of the Engineering Applications of Neural Networks, 2023

2022
Editorial paper for Pattern Recognition Letters VSI on cross model understanding for visual question answering.
Pattern Recognit. Lett., 2022

Predicting on-street parking violation rate using deep residual neural networks.
Pattern Recognit. Lett., 2022

Quantization-aware training for low precision photonic neural networks.
Neural Networks, 2022

WDM equipped universal linear optics for programmable neuromorphic photonic processors.
Neuromorph. Comput. Eng., 2022

Multisource financial sentiment analysis for detecting Bitcoin price change indications using deep learning.
Neural Comput. Appl., 2022

Probabilistic online self-distillation.
Neurocomputing, 2022

Autoencoder-driven spiral representation learning for gravitational wave surrogate modelling.
Neurocomputing, 2022

Computer Vision for Autonomous UAV Flight Safety: An Overview and a Vision-based Safe Landing Pipeline Example.
ACM Comput. Surv., 2022

A Novel Dataset for Evaluating and Alleviating Domain Shift for Human Detection in Agricultural Fields.
CoRR, 2022

MLGWSC-1: The first Machine Learning Gravitational-Wave Search Mock Data Challenge.
CoRR, 2022

Attention-Based Neural Bag-of-Features Learning for Sequence Data.
IEEE Access, 2022

Normalized Post-training Quantization for Photonic Neural Networks.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Photonic Neuromorphic Computing: Architectures, Technologies, and Training Models.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2022

Deep Video Stream Information Analysis and Retrieval: Challenges and Opportunities.
Proceedings of the 5th IEEE International Conference on Multimedia Information Processing and Retrieval, 2022

Electric load demand forecasting on Greek Energy Market using lightweight neural networks.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Early Detection of DDoS Attacks using Photonic Neural Networks.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

Deep Learning for On-Street Parking Violation Prediction.
Proceedings of the 14th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2022

OpenDR: An Open Toolkit for Enabling High Performance, Low Footprint Deep Learning for Robotics.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Online Knowledge Distillation for Financial Timeseries Forecasting.
Proceedings of the International Conference on INnovations in Intelligent SysTems and Applications, 2022

Forecasting day-ahead electric load demand on Greek Energy Market.
Proceedings of the 13th International Conference on Information, 2022

Real-time synthetic-to-real human detection for robotics applications.
Proceedings of the 13th International Conference on Information, 2022

Multilayer Online Self-Acquired Knowledge Distillation.
Proceedings of the 26th International Conference on Pattern Recognition, 2022

Bag-Of-Features-Based Knowledge Distillation For Lightweight Convolutional Neural Networks.
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Sentiment-Aware Distillation for Bitcoin Trend Forecasting Under Partial Observability.
Proceedings of the IEEE International Conference on Acoustics, 2022

Active Vision Control Policies for Face Recognition using Deep Reinforcement Learning.
Proceedings of the 30th European Signal Processing Conference, 2022

Learning photonic neural network initialization for noise-aware end-to-end fiber transmission.
Proceedings of the 30th European Signal Processing Conference, 2022

Improving Binary Semantic Scene Segmentation for Robotics Applications.
Proceedings of the Engineering Applications of Neural Networks, 2022

A Robust, Quantization-Aware Training Method for Photonic Neural Networks.
Proceedings of the Engineering Applications of Neural Networks, 2022

2021
Forecasting Financial Time Series Using Robust Deep Adaptive Input Normalization.
J. Signal Process. Syst., 2021

Price Trailing for Financial Trading Using Deep Reinforcement Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Probabilistic Knowledge Transfer for Lightweight Deep Representation Learning.
IEEE Trans. Neural Networks Learn. Syst., 2021

Hypersphere-Based Weight Imprinting for Few-Shot Learning on Embedded Devices.
IEEE Trans. Neural Networks Learn. Syst., 2021

Graph Embedded Convolutional Neural Networks in Human Crowd Detection for Drone Flight Safety.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Training Deep Photonic Convolutional Neural Networks With Sinusoidal Activations.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Deep supervised hashing using quadratic spherical mutual information for efficient image retrieval.
Signal Process. Image Commun., 2021

Occlusion detection and drift-avoidance framework for 2D visual object tracking.
Signal Process. Image Commun., 2021

Improving knowledge distillation using unified ensembles of specialized teachers.
Pattern Recognit. Lett., 2021

Deep adaptive group-based input normalization for financial trading.
Pattern Recognit. Lett., 2021

Diversity-driven knowledge distillation for financial trading using Deep Reinforcement Learning.
Neural Networks, 2021

Transferring trading strategy knowledge to deep learning models.
Knowl. Inf. Syst., 2021

Online Subclass Knowledge Distillation.
Expert Syst. Appl., 2021

A Silicon Photonic Coherent Neuron with 10GMAC/sec processing line-rate.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2021

Improving Deep Reinforcement Learning for Financial Trading Using Deep Adaptive Group-Based Normalization.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Introducing K-Anonymity Principles to Adversarial Attacks for Privacy Protection in Image Classification Problems.
Proceedings of the 2021 IEEE 31st International Workshop on Machine Learning for Signal Processing (MLSP), 2021

Semantic Scene Segmentation for Robotics Applications.
Proceedings of the 12th International Conference on Information, 2021

Learning Sentiment-Aware Trading Strategies for Bitcoin Leveraging Deep Learning-Based Financial News Analysis.
Proceedings of the Artificial Intelligence Applications and Innovations, 2021

Efficient Training of Lightweight Neural Networks Using Online Self-Acquired Knowledge Distillation.
Proceedings of the 2021 IEEE International Conference on Multimedia and Expo, 2021

Pseudo-Active Vision For Improving Deep Visual Perception Through Neural Sensory Refinement.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

Vision-based UAV Safe Landing exploiting Lightweight Deep Neural Networks.
Proceedings of the ICIGP 2021: The 4th International Conference on Image and Graphics Processing, Sanya, China, 1, 2021

Adaptive Inference for Face Recognition leveraging Deep Metric Learning-enabled Early Exits.
Proceedings of the 29th European Signal Processing Conference, 2021

Compute with Light: Architectures, Technologies and Training Models for Neuromorphic Photonic Circuits.
Proceedings of the European Conference on Optical Communication, 2021

25GMAC/sec/axon photonic neural networks with 7GHz bandwidth optics through channel response-aware training.
Proceedings of the European Conference on Optical Communication, 2021

Silicon-integrated coherent neurons with 32GMAC/sec/axon compute line-rates using EAM-based input and weighting cells.
Proceedings of the European Conference on Optical Communication, 2021

Efficient Realistic Data Generation Framework Leveraging Deep Learning-Based Human Digitization.
Proceedings of the 22nd Engineering Applications of Neural Networks Conference, 2021

2020
Deep Adaptive Input Normalization for Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., 2020

Bag of Color Features for Color Constancy.
IEEE Trans. Image Process., 2020

Temporal Bag-of-Features Learning for Predicting Mid Price Movements Using High Frequency Limit Order Book Data.
IEEE Trans. Emerg. Top. Comput. Intell., 2020

Re-identification framework for long term visual object tracking based on object detection and classification.
Signal Process. Image Commun., 2020

Deep autoencoders for attribute preserving face de-identification.
Signal Process. Image Commun., 2020

Deep Learning for Visual Content Analysis.
Signal Process. Image Commun., 2020

Temporal logistic neural Bag-of-Features for financial time series forecasting leveraging limit order book data.
Pattern Recognit. Lett., 2020

Variance-preserving deep metric learning for content-based image retrieval.
Pattern Recognit. Lett., 2020

Improving the performance of lightweight CNNs for binary classification using quadratic mutual information regularization.
Pattern Recognit., 2020

Efficient adaptive inference for deep convolutional neural networks using hierarchical early exits.
Pattern Recognit., 2020

Recurrent bag-of-features for visual information analysis.
Pattern Recognit., 2020

Class-specific discriminant regularization in real-time deep CNN models for binary classification problems.
Neural Process. Lett., 2020

Initializing photonic feed-forward neural networks using auxiliary tasks.
Neural Networks, 2020

K-Anonymity inspired adversarial attack and multiple one-class classification defense.
Neural Networks, 2020

Continuous drone control using deep reinforcement learning for frontal view person shooting.
Neural Comput. Appl., 2020

Dense convolutional feature histograms for robust visual object tracking.
Image Vis. Comput., 2020

Self-supervised autoencoders for clustering and classification.
Evol. Syst., 2020

Using Deep Learning for price prediction by exploiting stationary limit order book features.
Appl. Soft Comput., 2020

Global Adaptive Input Normalization for Short-Term Electric Load Forecasting.
Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Improving Universal Style Transfer using Sub-style Decomposition.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

Deep Hashing Regularization Towards Hamming Space Retrieval.
Proceedings of the SETN 2020: 11th Hellenic Conference on Artificial Intelligence, 2020

All-Optical Recurrent Neural Network with Sigmoid Activation Function.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2020

Visual Object Detection For Autonomous UAV Cinematography.
Proceedings of the 2020 Northern Lights Deep Learning Workshop, 2020

Leveraging Active Perception for Improving Embedding-based Deep Face Recognition.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Efficient Adaptive Inference Leveraging Bag-of-Features-based Early Exits.
Proceedings of the 22nd IEEE International Workshop on Multimedia Signal Processing, 2020

Quadratic Mutual Information Regularization in Real-Time Deep CNN Models.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Improving Deep Reinforcement Learning for Financial Trading Using Neural Network Distillation.
Proceedings of the 30th IEEE International Workshop on Machine Learning for Signal Processing, 2020

Multilayer Probabilistic Knowledge Transfer for Learning Image Representations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Adaptive Initialization for Recurrent Photonic Networks using Sigmoidal Activations.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2020

Deepbots: A Webots-Based Deep Reinforcement Learning Framework for Robotics.
Proceedings of the Artificial Intelligence Applications and Innovations, 2020

Efficient Online Subclass Knowledge Distillation for Image Classification.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Leveraging Quadratic Spherical Mutual Information Hashing for Fast Image Retrieval.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

A modified Single-Shot multibox Detector for beyond Real-Time Object Detection.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Human Action Recognition Using Recurrent Bag-of-Features Pooling.
Proceedings of the Pattern Recognition. ICPR International Workshops and Challenges, 2020

Improving Visual Question Answering using Active Perception on Static Images.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Leveraging Deep Reinforcement Learning For Active Shooting Under Open-World Setting.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Adaptive Normalization for Forecasting Limit Order Book Data Using Convolutional Neural Networks.
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

Training Noise-Resilient Recurrent Photonic Networks for Financial Time Series Analysis.
Proceedings of the 28th European Signal Processing Conference, 2020

Robust Hypersphere-based Weight Imprinting for Few-Shot Learning.
Proceedings of the 28th European Signal Processing Conference, 2020

Time-series classification with an all-optical recurrent neuron.
Proceedings of the European Conference on Optical Communications, 2020

Few-shot Image Recognition for UAV Sports Cinematography.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Heterogeneous Knowledge Distillation Using Information Flow Modeling.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Deep Learning Analytics.
Proceedings of the Machine Learning Paradigms - Advances in Data Analytics, 2019

Neurons With Paraboloid Decision Boundaries for Improved Neural Network Classification Performance.
IEEE Trans. Neural Networks Learn. Syst., 2019

Training Lightweight Deep Convolutional Neural Networks Using Bag-of-Features Pooling.
IEEE Trans. Neural Networks Learn. Syst., 2019

Unsupervised Knowledge Transfer Using Similarity Embeddings.
IEEE Trans. Neural Networks Learn. Syst., 2019

Autonomous Unmanned Aerial Vehicles Filming In Dynamic Unstructured Outdoor Environments [Applications Corner].
IEEE Signal Process. Mag., 2019

Visual representation decoding from human brain activity using machine learning: A baseline study.
Pattern Recognit. Lett., 2019

Discriminative clustering using regularized subspace learning.
Pattern Recognit., 2019

Exploiting multiplex data relationships in Support Vector Machines.
Pattern Recognit., 2019

Long-term temporal averaging for stochastic optimization of deep neural networks.
Neural Comput. Appl., 2019

Interactive dimensionality reduction using similarity projections.
Knowl. Based Syst., 2019

Deep reinforcement learning for controlling frontal person close-up shooting.
Neurocomputing, 2019

Complete vector quantization of feedforward neural networks.
Neurocomputing, 2019

Autonomous UAV Cinematography: A Tutorial and a Formalized Shot-Type Taxonomy.
ACM Comput. Surv., 2019

Deep Adaptive Input Normalization for Price Forecasting using Limit Order Book Data.
CoRR, 2019

Deep Supervised Hashing leveraging Quadratic Spherical Mutual Information for Content-based Image Retrieval.
CoRR, 2019

Machine Learning for Forecasting Mid-Price Movements Using Limit Order Book Data.
IEEE Access, 2019

Embedded UAV Real-Time Visual Object Detection and Tracking.
Proceedings of the 2019 IEEE International Conference on Real-time Computing and Robotics, 2019

Experimental Demonstration of an Optical Neuron with a Logistic Sigmoid Activation Function.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2019

Greedy Salient Dictionary Learning for Activity Video Summarization.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Semantic Map Annotation Through UAV Video Analysis Using Deep Learning Models in ROS.
Proceedings of the MultiMedia Modeling - 25th International Conference, 2019

Less Is More: Deep Learning Using Subjective Annotations For Sentiment Analysis From Social Media.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Incremental Label Propagation on Facial Images.
Proceedings of the 29th IEEE International Workshop on Machine Learning for Signal Processing, 2019

Face Verification and Recognition for Digital Forensics and Information Security.
Proceedings of the 7th International Symposium on Digital Forensics and Security, 2019

Discriminant Analysis Regularization in Lightweight Deep CNN Models.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Computational UAV Cinematography for Intelligent Shooting Based on Semantic Visual Analysis.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Class-Based Variational Representation Learning For Robust Image Retrieval.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Adaptive Inference Using Hierarchical Convolutional Bag-of-Features for Low-Power Embedded Platforms.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Joint Lightweight Object Tracking and Detection for Unmanned Vehicles.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

Deep Reinforcement Learning for Financial Trading Using Price Trailing.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Temporal Logistic Bag-of-features for Forecasting High Frequency Limit Order Book Time Series.
Proceedings of the IEEE International Conference on Acoustics, 2019

Variance Preserving Initialization for Training Deep Neuromorphic Photonic Networks with Sinusoidal Activations.
Proceedings of the IEEE International Conference on Acoustics, 2019

Deep Convolutional Feature Histograms for Visual Object Tracking.
Proceedings of the IEEE International Conference on Acoustics, 2019

Improving the Performance of Lightweight CNN models using Minimum Enclosing Ball Regularization.
Proceedings of the 27th European Signal Processing Conference, 2019

Curriculum-based Teacher Ensemble for Robust Neural Network Distillation.
Proceedings of the 27th European Signal Processing Conference, 2019

On Detecting and Handling target occlusions in Correlation-filter-based 2D tracking.
Proceedings of the 27th European Signal Processing Conference, 2019

2018
Dimensionality Reduction Using Similarity-Induced Embeddings.
IEEE Trans. Neural Networks Learn. Syst., 2018

Information Clustering Using Manifold-Based Optimization of the Bag-of-Features Representation.
IEEE Trans. Cybern., 2018

Positive and Negative Label Propagations.
IEEE Trans. Circuits Syst. Video Technol., 2018

Deep convolutional image retrieval: A general framework.
Signal Process. Image Commun., 2018

Fast constrained person identity label propagation in stereo videos using a pruned similarity matrix.
Signal Process. Image Commun., 2018

Explicit ensemble attention learning for improving visual question answering.
Pattern Recognit. Lett., 2018

Learning deep spatiotemporal features for video captioning.
Pattern Recognit. Lett., 2018

Learning bag-of-embedded-words representations for textual information retrieval.
Pattern Recognit., 2018

Exploiting tf-idf in deep Convolutional Neural Networks for Content Based Image Retrieval.
Multim. Tools Appl., 2018

Caricature generation utilizing the notion of anti-face.
Multim. Tools Appl., 2018

PySEF: A python library for similarity-based dimensionality reduction.
Knowl. Based Syst., 2018

A salient dictionary learning framework for activity video summarization via key-frame extraction.
Inf. Sci., 2018

Deep convolutional learning for Content Based Image Retrieval.
Neurocomputing, 2018

Semi-supervised subclass support vector data description for image and video classification.
Neurocomputing, 2018

Big Data Clustering with Kernel <i>k</i>-Means: Resources, Time and Performance.
Int. J. Artif. Intell. Tools, 2018

Style Decomposition for Improved Neural Style Transfer.
CoRR, 2018

Machine Learning for Forecasting Mid Price Movement using Limit Order Book Data.
CoRR, 2018

Probabilistic Knowledge Transfer for Deep Representation Learning.
CoRR, 2018

Fast Deep Convolutional Face Detection in the Wild Exploiting Hard Sample Mining.
Big Data Res., 2018

Fully Unsupervised Convolutional Learning for Fast Image Retrieval.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Deep Sparse Autoencoders for Football Match and Bet Prediction.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Recurrent Attention for Deep Neural Object Detection.
Proceedings of the 10th Hellenic Conference on Artificial Intelligence, 2018

Computational UAV Cinematography for Intelligent A/V Shooting Based on Semantic Visual Analysis.
Proceedings of the 1st International Workshop on Multimedia Content Analysis in Sports, 2018

Greedy Salient Dictionary Learning with Optimal Point Reconstruction for Activity video Summarization.
Proceedings of the 28th IEEE International Workshop on Machine Learning for Signal Processing, 2018

Fully Unsupervised Optimization of CNN Features Towards Content Based Image Retrieval.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Learning Discriminative Representations for Big Data Clustering Using Similarity-Based Dimensionality Reduction.
Proceedings of the 13th IEEE Image, Video, and Multidimensional Signal Processing Workshop, 2018

Efficient Camera Control using 2D Visual Information for Unmanned Aerial Vehicle-based Cinematography.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Visual Question Answering using Explicit Visual Attention.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2018

Neural Network Knowledge Transfer using Unsupervised Similarity Matching.
Proceedings of the 24th International Conference on Pattern Recognition, 2018

Accelerating Similarity-Based Discriminant Analysis Using Class-Specific Prototypes.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Convolutional Neural Networks for Visual Information Analysis with Limited Computing Resources.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Learning Multi-Graph Regularization for SVM Classification.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Label Propagation on Facial Images Using Similarity and Dissimilarity Labelling Constraints.
Proceedings of the 2018 IEEE International Conference on Image Processing, 2018

Regularized Svd-Based Video Frame Saliency for Unsupervised Activity Video Summarization.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Fast, Visual and Interactive Semi-supervised Dimensionality Reduction.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Learning Deep Representations with Probabilistic Knowledge Transfer.
Proceedings of the Computer Vision - ECCV 2018, 2018

Decoding Generic Visual Representations from Human Brain Activity Using Machine Learning.
Proceedings of the Computer Vision - ECCV 2018 Workshops, 2018

Deep reinforcement learning for frontal view person shooting using drones.
Proceedings of the 2018 IEEE Conference on Evolving and Adaptive Intelligent Systems, 2018

2017
Learning Neural Bag-of-Features for Large-Scale Image Retrieval.
IEEE Trans. Syst. Man Cybern. Syst., 2017

Big Media Data Analysis.
Signal Process. Image Commun., 2017

Neural Bag-of-Features learning.
Pattern Recognit., 2017

One-Class Classification Based on Extreme Learning and Geometric Class Information.
Neural Process. Lett., 2017

Multimodal speaker clustering in full length movies.
Multim. Tools Appl., 2017

De-identifying facial images using singular value decomposition and projections.
Multim. Tools Appl., 2017

Deep learning algorithms for discriminant autoencoding.
Neurocomputing, 2017

Approximate kernel extreme learning machine for large scale data classification.
Neurocomputing, 2017

Forecasting Stock Prices from the Limit Order Book Using Convolutional Neural Networks.
Proceedings of the 19th IEEE Conference on Business Informatics, 2017

Summarization of human activity videos using a salient dictionary.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Summarization of human activity videos via low-rank approximation.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

Human crowd detection for drone flight safety using convolutional neural networks.
Proceedings of the 25th European Signal Processing Conference, 2017

Using deep learning to detect price change indications in financial markets.
Proceedings of the 25th European Signal Processing Conference, 2017

Lightweight two-stream convolutional face detection.
Proceedings of the 25th European Signal Processing Conference, 2017

Time-series classification using neural Bag-of-Features.
Proceedings of the 25th European Signal Processing Conference, 2017

Concept detection and face pose estimation using lightweight convolutional neural networks for steering drone video shooting.
Proceedings of the 25th European Signal Processing Conference, 2017

Improving Face Pose Estimation Using Long-Term Temporal Averaging for Stochastic Optimization.
Proceedings of the Engineering Applications of Neural Networks, 2017

Discriminatively Trained Autoencoders for Fast and Accurate Face Recognition.
Proceedings of the Engineering Applications of Neural Networks, 2017

2016
Visual Voice Activity Detection in the Wild.
IEEE Trans. Multim., 2016

Entropy Optimized Feature-Based Bag-of-Words Representation for Information Retrieval.
IEEE Trans. Knowl. Data Eng., 2016

Multimodal Stereoscopic Movie Summarization Conforming to Narrative Characteristics.
IEEE Trans. Image Process., 2016

Graph Embedded Extreme Learning Machine.
IEEE Trans. Cybern., 2016

Graph Embedded One-Class Classifiers for media data classification.
Pattern Recognit., 2016

Big Data Analysis for Media Production.
Proc. IEEE, 2016

Exploiting stereoscopic disparity for augmenting human activity recognition performance.
Multim. Tools Appl., 2016

Kernel subclass support vector description for face and human action recognition.
Proceedings of the First International Workshop on Sensing, 2016

Relevance Feedback in Deep Convolutional Neural Networks for Content Based Image Retrieval.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Efficient MapReduce Kernel k-Means for Big Data Clustering.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Spectral Clustering using Optimized Bag-of-Features.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

A Bag of Words approach for recognition of Greek folk dances.
Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Laplacian one class extreme learning machines for human action recognition.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

Movie shot selection preserving narrative properties.
Proceedings of the 18th IEEE International Workshop on Multimedia Signal Processing, 2016

A Fast Deep Convolutional Neural Network for Face Detection in Big Visual Data.
Proceedings of the Advances in Big Data, 2016

Spatial Bag of Features Learning for Large Scale Face Image Retrieval.
Proceedings of the Advances in Big Data, 2016

Compact Video Description and Representation for Automated Summarization of Human Activities.
Proceedings of the Advances in Big Data, 2016

Exploiting supervised learning for finetuning deep CNNs in content based image retrieval.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Face detection based on deep convolutional neural networks exploiting incremental facial part learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Bag of Embedded Words learning for text retrieval.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Exploiting local and global geometric data relationships in Support Vector Data Description.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Multi-view semantic temporal video segmentation.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

One class classification applied in facial image analysis.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

A review of approximate methods for kernel-based big media data analysis.
Proceedings of the 24th European Signal Processing Conference, 2016

A comparative study of representations for folk dances recognition in video.
Proceedings of the 24th European Signal Processing Conference, 2016

Fast label propagation on facial images using a pruned similarity matrix.
Proceedings of the Digital Media Industry & Academic Forum, 2016

Enhanced similarities for a music Recommender System.
Proceedings of the Digital Media Industry & Academic Forum, 2016

2015
Graph Embedded Nonparametric Mutual Information for Supervised Dimensionality Reduction.
IEEE Trans. Neural Networks Learn. Syst., 2015

Class-Specific Reference Discriminant Analysis With Application in Human Behavior Analysis.
IEEE Trans. Hum. Mach. Syst., 2015

Facial image clustering in stereoscopic videos using double spectral analysis.
Signal Process. Image Commun., 2015

A novel dimensionality reduction technique based on kernel optimization through graph embedding.
Signal Image Video Process., 2015

Sparse extreme learning machine classifier exploiting intrinsic graphs.
Pattern Recognit. Lett., 2015

On the kernel Extreme Learning Machine classifier.
Pattern Recognit. Lett., 2015

A distributed framework for trimmed Kernel k-Means clustering.
Pattern Recognit., 2015

Subclass Graph Embedding and a Marginal Fisher Analysis paradigm.
Pattern Recognit., 2015

The MOBISERV-AIIA Eating and Drinking multi-view database for vision-based assisted living.
J. Inf. Hiding Multim. Signal Process., 2015

DropELM: Fast neural network regularization with Dropout and DropConnect.
Neurocomputing, 2015

Distance-based human action recognition using optimized class representations.
Neurocomputing, 2015

Human Action Recognition Based on Multi-View Regularized Extreme Learning Machine.
Int. J. Artif. Intell. Tools, 2015

Spectral clustering and semi-supervised learning using evolving similarity graphs.
Appl. Soft Comput., 2015

Large-Scale Classification by an Approximate Least Squares One-Class Support Vector Machine Ensemble.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Nearest Class Vector Classification for Large-Scale Learning Problems.
Proceedings of the 2015 IEEE TrustCom/BigDataSE/ISPA, 2015

Distributed, MapReduce-Based Nearest Neighbor and E-Ball Kernel k-Means.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Graph Embedding Exploiting Subclasses.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Subclass Marginal Fisher Analysis.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

Multi-modal label propagation based on a higher order similarity matrix.
Proceedings of the 25th IEEE International Workshop on Machine Learning for Signal Processing, 2015

Regularized Extreme Learning Machine for Large-scale Media Content Analysis.
Proceedings of the INNS Conference on Big Data 2015, 2015

IMPART: Big media data processing and analysis for film production.
Proceedings of the 2015 IEEE International Conference on Multimedia & Expo Workshops, 2015

Kernel matrix trimming for improved Kernel K-means clustering.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Visual voice activity detection based on spatiotemporal information and bag of words.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Facial image analysis based on two-dimensional linear discriminant analysis exploiting symmetry.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Large-scale nonlinear facial image classification based on approximate kernel Extreme Learning Machine.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Merging linear discriminant analysis with Bag of Words model for human action recognition.
Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Multimodal Speaker Diarization Utilizing Face Clustering Information.
Proceedings of the Image and Graphics - 8th International Conference, 2015

Fast Kernel Matrix Computation for Big Data Clustering.
Proceedings of the International Conference on Computational Science, 2015

Enhancing ELM-based Facial Image Classification by Exploiting Multiple Facial Views.
Proceedings of the International Conference on Computational Science, 2015

Exploiting subclass information in one-class support vector machine for video summarization.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Enhancing class discrimination in Kernel Discriminant Analysis.
Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

De-identifying facial images using projections on hyperspheres.
Proceedings of the 11th IEEE International Conference and Workshops on Automatic Face and Gesture Recognition, 2015

Exploiting symmetry in two-dimensional clustering-based discriminant analysis for face recognition.
Proceedings of the 23rd European Signal Processing Conference, 2015

Class-specific nonlinear subspace learning based on optimized class representation.
Proceedings of the 23rd European Signal Processing Conference, 2015

2014
Person Identity Label Propagation in Stereo Videos.
IEEE Trans. Multim., 2014

Symmetric Subspace Learning for Image Analysis.
IEEE Trans. Image Process., 2014

Maximum Margin Projection Subspace Learning for Visual Data Analysis.
IEEE Trans. Image Process., 2014

Projected Gradients for Subclass Discriminant Nonnegative Subspace Learning.
IEEE Trans. Cybern., 2014

Stereo object tracking with fusion of texture, color and disparity information.
Signal Process. Image Commun., 2014

Discriminant Bag of Words based representation for human action recognition.
Pattern Recognit. Lett., 2014

Kernel Reference Discriminant Analysis.
Pattern Recognit. Lett., 2014

Regularized extreme learning machine for multi-view semi-supervised action recognition.
Neurocomputing, 2014

Multi-view Regularized Extreme Learning Machine for Human Action Recognition.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Activity Recognition for Traditional Dances Using Dimensionality Reduction.
Proceedings of the Artificial Intelligence: Methods and Applications, 2014

Shot type characterization in 2D and 3D video content.
Proceedings of the IEEE 16th International Workshop on Multimedia Signal Processing, 2014

Stereoscopic video shot classification based on Weighted Linear Discriminant Analysis.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2014

Person de-identification in activity videos.
Proceedings of the 37th International Convention on Information and Communication Technology, 2014

De-identifying facial images using singular value decomposition.
Proceedings of the 37th International Convention on Information and Communication Technology, 2014

Single-Hidden Layer Feedforward Neual Network Training Using Class Geometric Information.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

Exploiting Local Class Information in Extreme Learning Machine.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Evolution of Graphs for Unsupervised Learning.
Proceedings of the Computational Intelligence - International Joint Conference, 2014

Spectral Clustering Using Evolving Similarity Graphs.
Proceedings of the ECTA 2014, 2014

Graph-based Kernel Representation of Videos for Traditional Dance Recognition.
Proceedings of the NCTA 2014 - Proceedings of the International Conference on Neural Computation Theory and Applications, part of IJCCI 2014, Rome, Italy, 22, 2014

Semi-supervised Classification of Human Actions Based on Neural Networks.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Random Walk Kernel Applications to Classification Using Support Vector Machines.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Laplacian Support Vector Analysis for Subspace Discriminative Learning.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Stereoscopic video shot clustering into semantic concepts based on visual and disparity information.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Human action recognition based on bag of features and multi-view neural networks.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Minimum Variance Extreme Learning Machine for human action recognition.
Proceedings of the IEEE International Conference on Acoustics, 2014

Iterative Label Propagation on facial images.
Proceedings of the 22nd European Signal Processing Conference, 2014

Human action recognition in stereoscopic videos based on bag of features and disparity pyramids.
Proceedings of the 22nd European Signal Processing Conference, 2014

Subspace Learning with Enriched Databases Using Symmetry.
Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

Visual Information Analysis for Big-Data Using Multi-core Technologies.
Proceedings of the Intelligent Data analysis and its Applications, Volume I, 2014

Computational Intelligence Approaches for Digital Media Analysis and Description.
Proceedings of the Intelligent Data analysis and its Applications, Volume II, 2014

Stereoscopic video description for human action recognition.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Multimedia, 2014

Video summarization based on Subclass Support Vector Data Description.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence for Engineering Solutions, 2014

Facial image clustering in stereo videos using local binary patterns and double spectral analysis.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence and Data Mining, 2014

Large graph clustering using DCT-based graph clustering.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Big Data, 2014

2013
Multiplicative Update Rules for Concurrent Nonnegative Matrix Factorization and Maximum Margin Classification.
IEEE Trans. Neural Networks Learn. Syst., 2013

On the Optimal Class Representation in Linear Discriminant Analysis.
IEEE Trans. Neural Networks Learn. Syst., 2013

Multidimensional Sequence Classification Based on Fuzzy Distances and Discriminant Analysis.
IEEE Trans. Knowl. Data Eng., 2013

Visual Object Tracking Based on Local Steering Kernels and Color Histograms.
IEEE Trans. Circuits Syst. Video Technol., 2013

Minimum Class Variance Extreme Learning Machine for Human Action Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2013

Multi-view action recognition based on action volumes, fuzzy distances and cluster discriminant analysis.
Signal Process., 2013

Dynamic action recognition based on dynemes and Extreme Learning Machine.
Pattern Recognit. Lett., 2013

Using robust dispersion estimation in support vector machines.
Pattern Recognit., 2013

Learning sparse representations for view-independent human action recognition based on fuzzy distances.
Neurocomputing, 2013

Person identification from actions based on dynemes and discriminant learning.
Proceedings of the 1st International Workshop on Biometrics and Forensics, 2013

View-independent human action recognition based on multi-view action images and discriminant learning.
Proceedings of the 11th IVMSP Workshop: 3D Image/Video Technologies and Applications, 2013

Representative Class Vector Clustering-Based Discriminant Analysis.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Multi-view Human Action Recognition: A Survey.
Proceedings of the Ninth International Conference on Intelligent Information Hiding and Multimedia Signal Processing, 2013

Exploiting the SVM constraints in NMF with application in eating and drinking activity recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

Active classification for human action recognition.
Proceedings of the IEEE International Conference on Image Processing, 2013

Exploiting discriminant and SVM constraints in NMF.
Proceedings of the 21st European Signal Processing Conference, 2013

Maximum Margin Discriminant Projections for facial expression recognition.
Proceedings of the 21st European Signal Processing Conference, 2013

Dynamic action classification based on iterative data selection and Feedforward Neural networks.
Proceedings of the 21st European Signal Processing Conference, 2013

Neural Networks for Digital Media Analysis and Description.
Proceedings of the Engineering Applications of Neural Networks, 2013

Direct Multi-label Linear Discriminant Analysis.
Proceedings of the Engineering Applications of Neural Networks, 2013

Feature Comparison and Feature Fusion for Traditional Dances Recognition.
Proceedings of the Engineering Applications of Neural Networks, 2013

Person identification from actions based on Artificial Neural Networks.
Proceedings of the 2013 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management, 2013

Folk dance recognition using a bag of words approach and ISA/STIP features.
Proceedings of the Balkan Conference in Informatics, 2013

2012
View-Invariant Action Recognition Based on Artificial Neural Networks.
IEEE Trans. Neural Networks Learn. Syst., 2012

Activity-Based Person Identification Using Fuzzy Representation and Discriminant Learning.
IEEE Trans. Inf. Forensics Secur., 2012

Shape matching using a binary search tree structure of weak classifiers.
Pattern Recognit., 2012

Subclass discriminant Nonnegative Matrix Factorization for facial image analysis.
Pattern Recognit., 2012

Multi-view human movement recognition based on fuzzy distances and linear discriminant analysis.
Comput. Vis. Image Underst., 2012

Exploiting Quadratic Mutual Information for Discriminant Analysis.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Evolutionary Optimization of a Neural Network Controller for Car Racing Simulation.
Proceedings of the Artificial Intelligence: Theories and Applications, 2012

Facial expression recognition with robust covariance estimation and Support Vector Machines.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Exploiting graph embedding in support vector machines.
Proceedings of the IEEE International Workshop on Machine Learning for Signal Processing, 2012

Discriminant Subspace Learning Based on Support Vectors Machines.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2012

Neural representation and learning for multi-view human action recognition.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Exploiting subclass information in Support Vector Machines.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Discriminant action representation for view-invariant person identification.
Proceedings of the 19th IEEE International Conference on Image Processing, 2012

Visual object tracking based on the object's salient features with application in automatic nutrition assistance.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Eating and drinking activity recognition based on discriminant analysis of fuzzy distances and activity volumes.
Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Visual object tracking via Gabor-based salient features extraction.
Proceedings of the 20th European Signal Processing Conference, 2012

Multi-view human action recognition under occlusion based on Fuzzy distances and neural networks.
Proceedings of the 20th European Signal Processing Conference, 2012

Progressive neural network training for the Open Racing Car Simulator.
Proceedings of the 2012 IEEE Conference on Computational Intelligence and Games, 2012

2011
Improving subspace learning for facial expression recognition using person dependent and geometrically enriched training sets.
Neural Networks, 2011

Human Centered Interfaces for Assisted Living.
Proceedings of the Man-Machine Interactions 2, 2011

Nutrition Assistance Based on Skin Color Segmentation and Support Vector Machines.
Proceedings of the Man-Machine Interactions 2, 2011

Facial expression recognition using clustering discriminant Non-negative Matrix Factorization.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

Optimizing Linear Discriminant Error Correcting Output Codes Using Particle Swarm Optimization.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2011, 2011

Using subclasses in discriminant non-negative subspace learning for facial expression recognition.
Proceedings of the 19th European Signal Processing Conference, 2011

Person specific activity recognition using fuzzy learning and Discriminant Analysis.
Proceedings of the 19th European Signal Processing Conference, 2011

Entropy-Based Iterative Face Classification.
Proceedings of the Biometrics and ID Management, 2011

Learning Human Identity Using View-Invariant Multi-view Movement Representation.
Proceedings of the Biometrics and ID Management, 2011

Recent advances in discriminant non-negative Matrix Factorization.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010
Intelligent Multimedia Analysis for Emerging Biometrics.
Proceedings of the Intelligent Multimedia Analysis for Security Applications, 2010

Salient feature and reliable classifier selection for facial expression classification.
Pattern Recognit., 2010

Online shape learning using binary search trees.
Image Vis. Comput., 2010

Face Detection Using Particle Swarm Optimization and Support Vector Machines.
Proceedings of the Artificial Intelligence: Theories, 2010

Mutual Information Measures for Subclass Error-Correcting Output Codes Classification.
Proceedings of the Artificial Intelligence: Theories, 2010

Optimizing subclass discriminant Error Correcting Output Codes using particle swarm optimization.
Proceedings of the International Joint Conference on Neural Networks, 2010

Subclass Error Correcting Output Codes Using Fisher's Linear Discriminant Ratio.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Dynamic Shape Learning and Forgetting.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Neural Networks Training for Weapon Selection in First-Person Shooter Games.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Frontal View Recognition Using Spectral Clustering and Subspace Learning Methods.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Improving the Robustness of Subspace Learning Techniques for Facial Expression Recognition.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

Using Particle Swarm Optimization for scaling and rotation invariant face detection.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

2009
Pairwise facial expression classification.
Proceedings of the 2009 IEEE International Workshop on Multimedia Signal Processing, 2009

Human identification from human movements.
Proceedings of the International Conference on Image Processing, 2009

Fusion of Movement Specific Human Identification Experts.
Proceedings of the Biometric ID Management and Multimodal Communication, 2009

Using mutual information to indicate facial poses in video sequences.
Proceedings of the 8th ACM International Conference on Image and Video Retrieval, 2009

2008
Automated Facial Pose Extraction From Video Sequences Based on Mutual Information.
IEEE Trans. Circuits Syst. Video Technol., 2008

Combining Fuzzy Vector Quantization With Linear Discriminant Analysis for Continuous Human Movement Recognition.
IEEE Trans. Circuits Syst. Video Technol., 2008

Dynamic training using multistage clustering for face recognition.
Pattern Recognit., 2008

Emerging biometric modalities: a survey.
J. Multimodal User Interfaces, 2008

An Online Self-Balancing Binary Search Tree for Hierarchical Shape Matching.
Proceedings of the VISAPP 2008: Proceedings of the Third International Conference on Computer Vision Theory and Applications, Funchal, Madeira, Portugal, January 22-25, 2008, 2008

Sparse human movement representation and recognition.
Proceedings of the International Workshop on Multimedia Signal Processing, 2008

Face recognition via adaptive discriminant clustering.
Proceedings of the International Conference on Image Processing, 2008

Motivating class-specific nonlinear projections for single and multiple view face verification.
Proceedings of the International Conference on Image Processing, 2008

Gender determination using a Support Vector Machine Variant.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

Human movement recognition using fuzzy clustering and discriminant analysis.
Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007
Weighted Piecewise LDA for Solving the Small Sample Size Problem in Face Verification.
IEEE Trans. Neural Networks, 2007

Minimum Class Variance Support Vector Machines.
IEEE Trans. Image Process., 2007

Learning Discriminant Person-Specific Facial Models Using Expandable Graphs.
IEEE Trans. Inf. Forensics Secur., 2007

Class-Specific Kernel-Discriminant Analysis for Face Verification.
IEEE Trans. Inf. Forensics Secur., 2007

The discriminant elastic graph matching algorithm applied to frontal face verification.
Pattern Recognit., 2007

Face Verification using Locally Linear Discriminant Models.
Proceedings of the International Conference on Image Processing, 2007

A Novel Kernel Discriminant Analysis for Face Verification.
Proceedings of the International Conference on Image Processing, 2007

Discriminant Graph Structures for Face Verification.
Proceedings of the IEEE International Conference on Acoustics, 2007

2006
Exploiting discriminant information in nonnegative matrix factorization with application to frontal face verification.
IEEE Trans. Neural Networks, 2006

2005
Blind Robust Watermarking Schemes for Copyright Protection of 3D Mesh Objects.
IEEE Trans. Vis. Comput. Graph., 2005

Exploiting discriminant information in elastic graph matching.
Proceedings of the 2005 International Conference on Image Processing, 2005

Enhanced transform-domain correlation-based audio watermarking.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Methods for improving discriminant analysis for face authentication.
Proceedings of the 2005 IEEE International Conference on Acoustics, 2005

Class-Specific Discriminant Non-negative Matrix Factorization for Frontal Face Verification.
Proceedings of the Pattern Recognition and Image Analysis, 2005

Linear discriminant feature selection techniques in elastic graph matching.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
A blind robust watermarking scheme for copyright protection of 3d mesh models.
Proceedings of the 2004 International Conference on Image Processing, 2004

Chaoticwatermark sequences for correlation-based schemes.
Proceedings of the 2004 12th European Signal Processing Conference, 2004

2003
Performance analysis of correlation-based watermarking schemes employing Markov chaotic sequences.
IEEE Trans. Signal Process., 2003

Robust multibit audio watermarking in the temporal domain.
Proceedings of the 2003 International Symposium on Circuits and Systems, 2003

Improving the detection reliability of correlation-based watermarking techniques.
Proceedings of the 2003 IEEE International Conference on Multimedia and Expo, 2003

Watermarking of 3D models using principal component analysis.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Face verification using elastic graph matching based on morphological signal decomposition.
Signal Process., 2002

Watermark detection: benchmarking perspectives.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

Copyright protection of 3D images using watermarks of specific spatial structure.
Proceedings of the 2002 IEEE International Conference on Multimedia and Expo, 2002

3D image watermarking robust to geometric distortions.
Proceedings of the IEEE International Conference on Acoustics, 2002

2001
Statistical analysis of a watermarking system based on Bernoulli chaotic sequences.
Signal Process., 2001

Image authentication techniques for surveillance applications.
Proc. IEEE, 2001

Using Support Vector Machines to Enhance the Performance of Elastic Graph Matching for Frontal Face Authentication.
IEEE Trans. Pattern Anal. Mach. Intell., 2001

Statistical analysis of Markov chaotic sequences for watermarking applications.
Proceedings of the 2001 International Symposium on Circuits and Systems, 2001

A benchmarking protocol for watermarking methods.
Proceedings of the 2001 International Conference on Image Processing, 2001

A survey on watermarking application scenarios and related attacks.
Proceedings of the 2001 International Conference on Image Processing, 2001

Bernoulli shift generated chaotic watermarks: theoretic investigation.
Proceedings of the IEEE International Conference on Acoustics, 2001

Robust spatial image watermarking using progressive detection.
Proceedings of the IEEE International Conference on Acoustics, 2001

Theoretic Performance Analysis of a Watermarking System based on Bernoulli Chaotic Sequences.
Proceedings of the Communications and Multimedia Security Issues of the New Century, 2001

2000
Frontal Face Authentication Using Discriminating Grids with Morphological Feature Vectors.
IEEE Trans. Multim., 2000

Frontal face authentication using morphological elastic graph matching.
IEEE Trans. Image Process., 2000

Morphological elastic graph matching applied to frontal face authentication under well-controlled and real conditions.
Pattern Recognit., 2000

Image authentication using chaotic mixing systems.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2000

Comparison of Face Verification Results on the XM2VTS Database.
Proceedings of the 15th International Conference on Pattern Recognition, 2000

Multi-Bit Image Watermarking Robust to Geometric Distortions.
Proceedings of the 2000 International Conference on Image Processing, 2000

Using Support Vector Machines for Face Authentication Based on Elastic Graph Matching.
Proceedings of the 2000 International Conference on Image Processing, 2000

Face authentication by using elastic graph matching and support vector machines.
Proceedings of the IEEE International Conference on Acoustics, 2000

Image authentication and tamper proofing using mathematical morphology.
Proceedings of the 10th European Signal Processing Conference, 2000

1999
Performance assessment of morphological dynamic link architecture under optimal and real operating conditions.
Proceedings of the IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP'99), 1999


Morphological Elastic Graph Matching Applied to Frontal Face Authentication under Optimal and Real Conditions.
Proceedings of the IEEE International Conference on Multimedia Computing and Systems, 1999

Compensating for variable recording conditions in frontal face authentication algorithms.
Proceedings of the 1999 IEEE International Conference on Acoustics, 1999

1998
Frontal Face Authentication using Variants of Dynamic Link Matching Based on Mathematical Morphology.
Proceedings of the 1998 IEEE International Conference on Image Processing, 1998

Face authentication using variants of elastic graph matching based on mathematical morphology that incorporate local discriminant coefficients.
Proceedings of the 1998 IEEE International Conference on Acoustics, 1998

Face Verification based on Morphological Shape Decomposition.
Proceedings of the 3rd International Conference on Face & Gesture Recognition (FG '98), 1998

Variants of Dynamic Link Architecture Based on Mathematical Morphology for Frontal Face Authentication.
Proceedings of the 1998 Conference on Computer Vision and Pattern Recognition (CVPR '98), 1998


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