Junbin Gao

Proceedings of the International Joint Conference on Neural Networks, 2024

Improved Attributed Graph Clustering with Representation and Structure Augmentation.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2024

Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance.

[BibT_eX]

[DOI]

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Common-Memory Bridged Cross-Modal Adaptive Graph Embedding for Image-Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2024

AutoFGNN: A Framework for Extracting All Frequency Information from Large-Scale Graphs.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Bregman Graph Neural Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Maximal Coding Rate Reduction for Graph Embeddings.

[BibT_eX]

[DOI]

Zhengyang Chi

Proceedings of the IEEE International Conference on Acoustics, 2024

Graph Neural Networks with Soft Association between Topology and Attribute.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

Graph Decoupling Attention Markov Networks for Semisupervised Graph Node Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., December, 2023

TDN: Triplet Distributor Network for Knowledge Graph Completion.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., December, 2023

Domain Adaptation as Optimal Transport on Grassmann Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

Hierarchical Graph Convolutional Networks for Structured Long Document Classification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., October, 2023

CSD-RkNN: reverse k nearest neighbors queries with conic section discriminances.

[BibT_eX]

[DOI]

Int. J. Geogr. Inf. Sci., October, 2023

Riemannian Hamiltonian Methods for Min-Max Optimization on Manifolds.

[BibT_eX]

[DOI]

SIAM J. Optim., September, 2023

Graph structure learning layer and its graph convolution clustering application.

[BibT_eX]

[DOI]

Neural Networks, August, 2023

Wasserstein Adversarially Regularized Graph Autoencoder.

[BibT_eX]

[DOI]

Huidong Liang

Neurocomputing, July, 2023

CaEGCN: Cross-Attention Fusion Based Enhanced Graph Convolutional Network for Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., April, 2023

Hierarchical Spatio-Temporal Graph Convolutional Networks and Transformer Network for Traffic Flow Forecasting.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., April, 2023

Robust discriminant analysis with feature selective projection and between-classes structural incoherence.

[BibT_eX]

[DOI]

Digit. Signal Process., April, 2023

Logarithmic Schatten-$p$p Norm Minimization for Tensorial Multi-View Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., March, 2023

Multi-Concept Representation Learning for Knowledge Graph Completion.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, January, 2023

Multi-graph Fusion Graph Convolutional Networks with pseudo-label supervision.

[BibT_eX]

[DOI]

Neural Networks, January, 2023

Nonconvex-nonconcave min-max optimization on Riemannian manifolds.

[BibT_eX]

[DOI]

Trans. Mach. Learn. Res., 2023

Corrigendum to Efficient sparse subspace clustering by nearest neighbour filtering Signal Processing (2021) 108082.

[BibT_eX]

[DOI]

Signal Process., 2023

Graph contrastive learning with implicit augmentations.

[BibT_eX]

[DOI]

Neural Networks, 2023

MathNet: Haar-like wavelet multiresolution analysis for graph representation learning.

[BibT_eX]

[DOI]

Knowl. Based Syst., 2023

Two-step scalable spectral clustering algorithm using landmarks and probability density estimation.

[BibT_eX]

[DOI]

Neurocomputing, 2023

Exposition on over-squashing problem on GNNs: Current Methods, Benchmarks and Challenges.

[BibT_eX]

[DOI]

CoRR, 2023

Unifying over-smoothing and over-squashing in graph neural networks: A physics informed approach and beyond.

[BibT_eX]

[DOI]

CoRR, 2023

How Curvature Enhance the Adaptation Power of Framelet GCNs.

[BibT_eX]

[DOI]

CoRR, 2023

Frameless Graph Knowledge Distillation.

[BibT_eX]

[DOI]

CoRR, 2023

Combating Confirmation Bias: A Unified Pseudo-Labeling Framework for Entity Alignment.

[BibT_eX]

[DOI]

CoRR, 2023

Revisiting Generalized p-Laplacian Regularized Framelet GCNs: Convergence, Energy Dynamic and Training with Non-Linear Diffusion.

[BibT_eX]

[DOI]

CoRR, 2023

Robust Graph Representation Learning for Local Corruption Recovery.

[BibT_eX]

[DOI]

Proceedings of the ACM Web Conference 2023, 2023

Efficient and Interpretable Compressive Text Summarisation with Unsupervised Dual-Agent Reinforcement Learning.

[BibT_eX]

[DOI]

Proceedings of The Fourth Workshop on Simple and Efficient Natural Language Processing, 2023

TopicCAT: Unsupervised Topic-Guided Co-Attention Transformer for Extreme Multimodal Summarisation.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Breaking the Barrier Between Pre-training and Fine-tuning: A Hybrid Prompting Model for Knowledge-Based VQA.

[BibT_eX]

[DOI]

Proceedings of the 31st ACM International Conference on Multimedia, 2023

Enhanced Loss Function based on Laplacian Eigenmaps for Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Fixed Point Laplacian Mapping: A Geometrically Correct Manifold Learning Algorithm.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2023

Audioset classification with Graph Convolutional Attention model.

[BibT_eX]

[DOI]

Xuliang Li

Proceedings of the International Joint Conference on Neural Networks, 2023

A Review for Weighted MinHash Algorithms (Extended abstract).

[BibT_eX]

[DOI]

Proceedings of the 39th IEEE International Conference on Data Engineering, 2023

A Magnetic Framelet-Based Convolutional Neural Network for Directed Graphs.

[BibT_eX]

[DOI]

Lequan Lin

Proceedings of the IEEE International Conference on Acoustics, 2023

Learning with Symmetric Positive Definite Matrices via Generalized Bures-Wasserstein Geometry.

[BibT_eX]

[DOI]

Proceedings of the Geometric Science of Information - 6th International Conference, 2023

FIW-GNN: A Heterogeneous Graph-Based Learning Model for Credit Card Fraud Detection.

[BibT_eX]

[DOI]

Kuan Yan

Dmytro Matsypura

Proceedings of the 10th IEEE International Conference on Data Science and Advanced Analytics, 2023

GNet: 3D Object Detection from Point Cloud with Geometry-Aware Network.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

DAFormer: Depth-aware 3D Object Detection Guided by Camera Model via Transformers.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Cyborg and Bionic Systems, 2023

Riemannian Accelerated Gradient Methods via Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Graph Convolution Recurrent Denoising Diffusion Model for Multivariate Probabilistic Temporal Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023

A New Perspective On the Expressive Equivalence Between Graph Convolution and Attention Models.

[BibT_eX]

[DOI]

Proceedings of the Asian Conference on Machine Learning, 2023

2022

A Decoder-Free Variational Deep Embedding for Unsupervised Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

Rank Consistency Induced Multiview Subspace Clustering via Low-Rank Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2022

A Review for Weighted MinHash Algorithms.

[BibT_eX]

[DOI]

IEEE Trans. Knowl. Data Eng., 2022

Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Dynamic Graph Convolution Network for Traffic Forecasting Based on Latent Network of Laplace Matrix Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2022

Multi-Attribute Subspace Clustering via Auto-Weighted Tensor Nuclear Norm Minimization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2022

A Sparse Oblique-Manifold Nonnegative Matrix Factorization for Hyperspectral Unmixing.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2022

Probabilistic Linear Discriminant Analysis Based on L1-Norm and Its Bayesian Variational Inference.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2022

Affective Audio Annotation of Public Speeches with Convolutional Clustering Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Affect. Comput., 2022

Neighborhood linear discriminant analysis.

[BibT_eX]

[DOI]

Pattern Recognit., 2022

Improved Variance Reduction Methods for Riemannian Non-Convex Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Embedding graphs on Grassmann manifold.

[BibT_eX]

[DOI]

Neural Networks, 2022

Adaptive graph convolutional clustering network with optimal probabilistic graph.

[BibT_eX]

[DOI]

Neural Networks, 2022

Cross-modal alignment with graph reasoning for image-text retrieval.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2022

Adaptive hierarchical hyper-gradient descent.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2022

Shareability-Exclusivity Representation on Product Grassmann Manifolds for Multi-camera video clustering.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2022

An Optimized Temporal-Spatial Gated Graph Convolution Network for Traffic Forecasting.

[BibT_eX]

[DOI]

IEEE Intell. Transp. Syst. Mag., 2022

Low-rank and sparse representation based learning for cancer survivability prediction.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Adversarially regularized joint structured clustering network.

[BibT_eX]

[DOI]

Inf. Sci., 2022

Video Domain Adaptation based on Optimal Transport in Grassmann Manifolds.

[BibT_eX]

[DOI]

Inf. Sci., 2022

A survey of the application of graph-based approaches in stock market analysis and prediction.

[BibT_eX]

[DOI]

Suman Saha

Richard Gerlach

Int. J. Data Sci. Anal., 2022

Generalized Laplacian Regularized Framelet GCNs.

[BibT_eX]

[DOI]

CoRR, 2022

SA-MLP: Distilling Graph Knowledge from GNNs into Structure-Aware MLP.

[BibT_eX]

[DOI]

CoRR, 2022

Generalized energy and gradient flow via graph framelets.

[BibT_eX]

[DOI]

CoRR, 2022

Universal Deep GNNs: Rethinking Residual Connection in GNNs from a Path Decomposition Perspective for Preventing the Over-smoothing.

[BibT_eX]

[DOI]

CoRR, 2022

A Simple Yet Effective SVD-GCN for Directed Graphs.

[BibT_eX]

[DOI]

CoRR, 2022

Graph Neural Network for Local Corruption Recovery.

[BibT_eX]

[DOI]

CoRR, 2022

Quasi-Framelets: Another Improvement to GraphNeural Networks.

[BibT_eX]

[DOI]

CoRR, 2022

Artificial intelligence (AI) for medical imaging to combat coronavirus disease (COVID-19): a detailed review with direction for future research.

[BibT_eX]

[DOI]

Artif. Intell. Rev., 2022

Geometric Inductive Matrix Completion: A Hyperbolic Approach with Unified Message Passing.

[BibT_eX]

[DOI]

Proceedings of the WSDM '22: The Fifteenth ACM International Conference on Web Search and Data Mining, Virtual Event / Tempe, AZ, USA, February 21, 2022

Robust Denoising in Graph Neural Networks.

[BibT_eX]

[DOI]

Siying Zhang

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Kernel Matrix-based Spd Representation For Graph Learning.

[BibT_eX]

[DOI]

Ye Xiao

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

OTExtSum: Extractive Text Summarisation with Optimal Transport.

[BibT_eX]

[DOI]

Proceedings of the Findings of the Association for Computational Linguistics: NAACL 2022, 2022

Robust Graph Convolutional Clustering With Adaptive Graph Learning.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Hierarchical Multiple Granularity Attention Network for Long Document Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

Tensor Neural Controlled Differential Equations.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2022

How Neural Processes Improve Graph Link Prediction.

[BibT_eX]

[DOI]

Huidong Liang

Proceedings of the IEEE International Conference on Acoustics, 2022

2021

Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Adaptive Fusion of Heterogeneous Manifolds for Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Robust Functional Manifold Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2021

Learning Adaptive Neighborhood Graph on Grassmann Manifolds for Video/Image-Set Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2021

Short-Term Lesion Change Detection for Melanoma Screening With Novel Siamese Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Medical Imaging, 2021

Robust Image Representation via Low Rank Locality Preserving Projection.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2021

Optimized Graph Convolution Recurrent Neural Network for Traffic Prediction.

[BibT_eX]

[DOI]

IEEE Trans. Intell. Transp. Syst., 2021

AKM3C: Adaptive K-Multiple-Means for Multi-View Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2021

Efficient sparse subspace clustering by nearest neighbour filtering.

[BibT_eX]

[DOI]

Signal Process., 2021

Learning the Incremental Warp for 3D Vehicle Tracking in LiDAR Point Clouds.

[BibT_eX]

[DOI]

Remote. Sens., 2021

LSTM-assisted evolutionary self-expressive subspace clustering.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2021

Coupling matrix manifolds assisted optimization for optimal transport problems.

[BibT_eX]

[DOI]

Mach. Learn., 2021

Manifold Optimization-Assisted Gaussian Variational Approximation.

[BibT_eX]

[DOI]

J. Comput. Graph. Stat., 2021

Kronecker-decomposable robust probabilistic tensor discriminant analysis.

[BibT_eX]

[DOI]

Inf. Sci., 2021

Minimum unbiased risk estimate based 2DPCA for color image denoising.

[BibT_eX]

[DOI]

Neurocomputing, 2021

Complete/incomplete multi-view subspace clustering via soft block-diagonal-induced regulariser.

[BibT_eX]

[DOI]

IET Comput. Vis., 2021

Estimating the square root of probability density function on Riemannian manifold.

[BibT_eX]

[DOI]

Expert Syst. J. Knowl. Eng., 2021

Graph Denoising with Framelet Regularizer.

[BibT_eX]

[DOI]

CoRR, 2021

Neural Ordinary Differential Equation Model for Evolutionary Subspace Clustering and Its Applications.

[BibT_eX]

[DOI]

CoRR, 2021

Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures.

[BibT_eX]

[DOI]

Renlong Jie

CoRR, 2021

A Discussion On the Validity of Manifold Learning.

[BibT_eX]

[DOI]

CoRR, 2021

Graph Decoupling Attention Markov Networks for Semi-supervised Graph Node Classification.

[BibT_eX]

[DOI]

CoRR, 2021

Stock Ranking Prediction Using List-Wise Approach and Node Embedding Technique.

[BibT_eX]

[DOI]

Suman Saha

Richard Gerlach

IEEE Access, 2021

Differentiable Neural Architecture Search for High-Dimensional Time Series Forecasting.

[BibT_eX]

[DOI]

Renlong Jie

IEEE Access, 2021

On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry.

[BibT_eX]

[DOI]

Bamdev Mishra

Pratik Kumar Jawanpuria

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Stock Movement Prediction on Ex-Dividend Day Using Event Specific Features and Machine Learning Techniques.

[BibT_eX]

[DOI]

Suman Saha

Richard Gerlach

Proceedings of the International Joint Conference on Neural Networks, 2021

Hierarchical Attention Transformer Networks for Long Document Classification.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2021

Tensorial Time Series Prediction via Tensor Neural Ordinary Differential Equations.

[BibT_eX]

[DOI]

Mingyuan Bai

Qibin Zhao

Proceedings of the International Joint Conference on Neural Networks, 2021

Riemannian Stochastic Recursive Momentum Method for non-Convex Optimization.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence, 2021

Bottom-Up Progressive Semantic Alignment for Image-Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 28th International Conference, 2021

How Framelets Enhance Graph Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Feature Interaction Based Graph Convolutional Networks for Image-Text Retrieval.

[BibT_eX]

[DOI]

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2021, 2021

Fuzzy contrastive learning for online behavior analysis.

[BibT_eX]

[DOI]

Proceedings of the 30th IEEE International Conference on Fuzzy Systems, 2021

Multi-Source Domain Adaptation with Sinkhorn Barycenter.

[BibT_eX]

[DOI]

Tatsuya Komatsu

Tomoko Matsui

Proceedings of the 29th European Signal Processing Conference, 2021

Hierarchical Graph Convolution Network for Traffic Forecasting.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Fifth AAAI Conference on Artificial Intelligence, 2021

2020

Robust Adaptive Linear Discriminant Analysis with Bidirectional Reconstruction Constraint.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2020

Locality preserving projection based on Euler representation.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2020

Matrix-variate variational auto-encoder with applications to image process.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2020

Semi-blind joint channel estimation and data detection on sphere manifold for MIMO with high-order QAM signaling.

[BibT_eX]

[DOI]

Sheng Chen

J. Frankl. Inst., 2020

Escape saddle points faster on manifolds via perturbed Riemannian stochastic recursive gradient.

[BibT_eX]

[DOI]

CoRR, 2020

Adaptive Multi-level Hyper-gradient Descent.

[BibT_eX]

[DOI]

CoRR, 2020

Regularized Flexible Activation Function Combinations for Deep Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2020

Graph Neural Networks with Haar Transform-Based Convolution and Pooling: A Complete Guide.

[BibT_eX]

[DOI]

CoRR, 2020

Variance reduction for Riemannian non-convex optimization with batch size adaptation.

[BibT_eX]

[DOI]

CoRR, 2020

CSD: Discriminance with Conic Section for Improving Reverse k Nearest Neighbors Queries.

[BibT_eX]

[DOI]

CoRR, 2020

A Bayesian Long Short-Term Memory Model for Value at Risk and Expected Shortfall Joint Forecasting.

[BibT_eX]

[DOI]

CoRR, 2020

ADAMT: A Stochastic Optimization with Trend Correction Scheme.

[BibT_eX]

[DOI]

Bingxin Zhou

Xuebin Zheng

CoRR, 2020

HyperTube: A Framework for Population-Based Online Hyperparameter Optimization with Resource Constraints.

[BibT_eX]

[DOI]

IEEE Access, 2020

Fine-Grained Age Estimation With Multi-Attention Network.

[BibT_eX]

[DOI]

IEEE Access, 2020

On the Trend-corrected Variant of Adaptive Stochastic Optimization Methods.

[BibT_eX]

[DOI]

Bingxin Zhou

Xuebin Zheng

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Cluster Developing 1-Bit Matrix Completion.

[BibT_eX]

[DOI]

Chengkun Zhang

Steven Lu

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Nonlinear Logistic Regression Model Based On Simplex Basis Function.

[BibT_eX]

[DOI]

Hong Wei

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Hype-HAN: Hyperbolic Hierarchical Attention Network for Semantic Embedding.

[BibT_eX]

[DOI]

Chengkun Zhang

Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

A Spectral Clustering on Grassmann Manifold via Double Low Rank Constraint.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Zero-Shot Text Classification with Semantically Extended Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Regularized Flexible Activation Function Combination for Deep Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Low Rank Representation on Product Grassmann Manifolds for Multi-view Subspace Clustering.

[BibT_eX]

[DOI]

Proceedings of the 25th International Conference on Pattern Recognition, 2020

Kernel Clustering On Symmetric Positive Definite Manifolds Via Double Approximated Low Rank Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Multimedia and Expo, 2020

Reweighted Non-convex Non-smooth Rank Minimization Based Spectral Clustering on Grassmann Manifold.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2020 - 15th Asian Conference on Computer Vision, Kyoto, Japan, November 30, 2020

Shared Generative Latent Representation Learning for Multi-View Clustering.

[BibT_eX]

[DOI]

Weitian Huang

Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

2019

Scalable Proximal Jacobian Iteration Method With Global Convergence Analysis for Nonconvex Unconstrained Composite Optimizations.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Multiview Subspace Clustering via Tensorial t-Product Representation.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Probabilistic Linear Discriminant Analysis With Vectorial Representation for Tensor Data.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Solving Partial Least Squares Regression via Manifold Optimization Approaches.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Where-and-When to Look: Deep Siamese Attention Networks for Video-Based Person Re-Identification.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2019

Tensorizing Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Maximally Correlated Principal Component Analysis Based on Deep Parameterization Learning.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2019

Parametric Classification of Bingham Distributions Based on Grassmann Manifolds.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2019

Deep Attention-Based Spatially Recursive Networks for Fine-Grained Visual Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2019

Gaussian Process Graph-Based Discriminant Analysis for Hyperspectral Images Classification.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Laplacian Regularized Spatial-Aware Collaborative Graph for Discriminant Analysis of Hyperspectral Imagery.

[BibT_eX]

[DOI]

Remote. Sens., 2019

UP-CNN: Un-pooling augmented convolutional neural network.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2019

Boosting sensitivity of a retinal vessel segmentation algorithm.

[BibT_eX]

[DOI]

Mohammad A. U. Khan

Tariq Mahmood Khan

Nighat Mir

Pattern Anal. Appl., 2019

Branched convolutional neural networks incorporated with Jacobian deep regression for facial landmark detection.

[BibT_eX]

[DOI]

Meilu Zhu

Neural Networks, 2019

Coupled-learning convolutional neural networks for object recognition.

[BibT_eX]

[DOI]

Chunyan Xu

Jian Yang

Multim. Tools Appl., 2019

Spatial-temporal dynamic hand gesture recognition via hybrid deep learning model.

[BibT_eX]

[DOI]

J. Multimodal User Interfaces, 2019

A hybrid algorithm for low-rank approximation of nonnegative matrix factorization.

[BibT_eX]

[DOI]

Neurocomputing, 2019

Strided fully convolutional neural network for boosting the sensitivity of retinal blood vessels segmentation.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2019

Coupling Matrix Manifolds and Their Applications in Optimal Transport.

[BibT_eX]

[DOI]

CoRR, 2019

Efficient Spatial Nearest Neighbor Queries Based on Multi-layer Voronoi Diagrams.

[BibT_eX]

[DOI]

CoRR, 2019

LSTM-Assisted Evolutionary Self-Expressive Subspace Clustering.

[BibT_eX]

[DOI]

Di Xu

Tianhang Long

CoRR, 2019

Cluster Developing 1-Bit Matrix Completion.

[BibT_eX]

[DOI]

Chengkun Zhang

Stephen Lu

CoRR, 2019

Manifold Optimisation Assisted Gaussian Variational Approximation.

[BibT_eX]

[DOI]

CoRR, 2019

Deep Learning Models for Retinal Blood Vessels Segmentation: A Review.

[BibT_eX]

[DOI]

IEEE Access, 2019

Impact of Image Enhancement Technique on CNN Model for Retinal Blood Vessels Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2019

Nonlinear Subspace Clustering via Adaptive Graph Regularized Autoencoder.

[BibT_eX]

[DOI]

IEEE Access, 2019

Locality Preserving Projection via Deep Neural Network.

[BibT_eX]

[DOI]

Proceedings of the International Joint Conference on Neural Networks, 2019

Sparse Least Squares Low Rank Kernel Machines.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 26th International Conference, 2019

Tensor-Train Parameterization for Ultra Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE International Conference on Big Knowledge, 2019

Double Nuclear Norm Based Low Rank Representation on Grassmann Manifolds for Clustering.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

DataLearner: A Data Mining and Knowledge Discovery Tool for Android Smartphones and Tablets.

[BibT_eX]

[DOI]

Darren Yates

Md Zahidul Islam

Proceedings of the Advanced Data Mining and Applications - 15th International Conference, 2019

2018

On Selecting Effective Patterns for Fast Support Vector Regression Training.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Multiview Spectral Clustering via Structured Low-Rank Matrix Factorization.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Vectorial Dimension Reduction for Tensors Based on Bayesian Inference.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Partial Sum Minimization of Singular Values Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2018

Progressive Hard-Mining Network for Monocular Depth Estimation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Subspace Clustering via Learning an Adaptive Low-Rank Graph.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2018

Localized LRR on Grassmann Manifold: An Extrinsic View.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2018

What-and-where to match: Deep spatially multiplicative integration networks for person re-identification.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Deep adaptive feature embedding with local sample distributions for person re-identification.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Low Rank Representation on SPD matrices with Log-Euclidean metric.

[BibT_eX]

[DOI]

Pattern Recognit., 2018

Multi-Dimensional Sparse Models.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Robust Multinomial Logistic Regression Based on RPCA.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Signal Process., 2018

Low-rank structure preserving for unsupervised feature selection.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Locally adaptive sparse representation on Riemannian manifolds for robust classification.

[BibT_eX]

[DOI]

Neurocomputing, 2018

SRNN: Self-regularized neural network.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Fast optimization algorithm on Riemannian manifolds and its application in low-rank learning.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Classification of matrix-variate Fisher-Bingham distribution via Maximum Likelihood Estimation using manifold valued data.

[BibT_eX]

[DOI]

Neurocomputing, 2018

Deep Co-attention based Comparators For Relative Representation Learning in Person Re-identification.

[BibT_eX]

[DOI]

CoRR, 2018

Impact of ICA-Based Image Enhancement Technique on Retinal Blood Vessels Segmentation.

[BibT_eX]

[DOI]

IEEE Access, 2018

Malware Detection for Healthcare Data Security.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2018

Branched Convolutional Neural Networks for Face Alignment.

[BibT_eX]

[DOI]

Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018

Shared Deep Kernel Learning for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2018

Cyclone Track Prediction with Matrix Neural Networks.

[BibT_eX]

[DOI]

Yanfei Zhang

Rohitash Chandra

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Functional Locality Preserving Projection for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Cascaded Low Rank and Sparse Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence, 2018

Security and Privacy Protection for eHealth Data.

[BibT_eX]

[DOI]

Proceedings of the Future Network Systems and Security - 4th International Conference, 2018

Generative Adversarial Network (GAN) Based Data Augmentation for Palmprint Recognition.

[BibT_eX]

[DOI]

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Strided U-Net Model: Retinal Vessels Segmentation using Dice Loss.

[BibT_eX]

[DOI]

Proceedings of the 2018 Digital Image Computing: Techniques and Applications, 2018

Implementation and Performance Analysis of Data-Mining Classification Algorithms on Smartphones.

[BibT_eX]

[DOI]

Darren Yates

Md Zahidul Islam

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

SPAARC: A Fast Decision Tree Algorithm.

[BibT_eX]

[DOI]

Darren Yates

Md Zahidul Islam

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Retinal Blood Vessels Extraction of Challenging Images.

[BibT_eX]

[DOI]

Proceedings of the Data Mining - 16th Australasian Conference, AusDM 2018, Bahrurst, NSW, 2018

Locality Preserving Projection Based on F-norm.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Zero-Attracting Recursive Least Squares Algorithms.

[BibT_eX]

[DOI]

Sheng Chen

IEEE Trans. Veh. Technol., 2017

Log-Euclidean Metrics for Contrast Preserving Decolorization.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2017

A Framework of Mixed Sparse Representations for Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multicamera Video Surveillance.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2017

Contrast normalization steps for increased sensitivity of a retinal image segmentation method.

[BibT_eX]

[DOI]

Signal Image Video Process., 2017

A global-local affinity matrix model via EigenGap for graph-based subspace clustering.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2017

Computerised approaches for the detection of diabetic retinopathy using retinal fundus images: a survey.

[BibT_eX]

[DOI]

Pattern Anal. Appl., 2017

Supervised Gaussian Process Latent Variable Model for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE Geosci. Remote. Sens. Lett., 2017

Finding the samples near the decision plane for support vector learning.

[BibT_eX]

[DOI]

Inf. Sci., 2017

l1-norm penalised orthogonal forward regression.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2017

Tensorial Recurrent Neural Networks for Longitudinal Data Analysis.

[BibT_eX]

[DOI]

Mingyuan Bai

Boyan Zhang

CoRR, 2017

Localized LRR on Grassmann Manifolds: An Extrinsic View.

[BibT_eX]

[DOI]

CoRR, 2017

Locality Preserving Projections for Grassmann manifold.

[BibT_eX]

[DOI]

CoRR, 2017

Tractable Clustering of Data on the Curve Manifold.

[BibT_eX]

[DOI]

CoRR, 2017

Collaborative Low-Rank Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2017

Robust human detection and localization in security applications.

[BibT_eX]

[DOI]

Concurr. Comput. Pract. Exp., 2017

Fast and Robust Biometric Authentication Scheme Using Human Ear.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2017

Matrix Neural Networks.

[BibT_eX]

[DOI]

Zhiyong Wang

Proceedings of the Advances in Neural Networks - ISNN 2017 - 14th International Symposium, 2017

Matrix variate RBM model with Gaussian distributions.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Locality Preserving Projections for Grassmann manifold.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Assessing the Performance of Deep Learning Algorithms for Newsvendor Problem.

[BibT_eX]

[DOI]

Yanfei Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

A Nonnegative Projection Based Algorithm for Low-Rank Nonnegative Matrix Approximation.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Tensorial Neural Networks and Its Application in Longitudinal Network Data Analysis.

[BibT_eX]

[DOI]

Mingyuan Bai

Boyan Zhang

Proceedings of the Neural Information Processing - 24th International Conference, 2017

Retinal blood vessel extraction method based on basic filtering schemes.

[BibT_eX]

[DOI]

Manoranjan Paul

Proceedings of the 2017 IEEE International Conference on Image Processing, 2017

Boosting Sensitivity of a Retinal Vessel Segmentation Algorithm with Convolutional Neural Network.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

L1-2DPCA Revisit via Optimization on Product Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications, 2017

Low-Rank-Sparse Subspace Representation for Robust Regression.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Grassmannian Manifold Optimization Assisted Sparse Spectral Clustering.

[BibT_eX]

[DOI]

Qiong Wang

Hong Li

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

2016

Tensor LRR and Sparse Coding-Based Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2016

Ordered Subspace Clustering With Block-Diagonal Priors.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2016

Multi-loss Regularized Deep Neural Network.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2016

Modulus Methods for Nonnegatively Constrained Image Restoration.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Extended nearest neighbor chain induced instance-weights for SVMs.

[BibT_eX]

[DOI]

Pattern Recognit., 2016

Laplacian Regularized Low-Rank Representation and Its Applications.

[BibT_eX]

[DOI]

Zhouchen Lin

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Heterogeneous Tensor Decomposition for Clustering via Manifold Optimization.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

LRSR: Low-Rank-Sparse representation for subspace clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Nonparametric tensor dictionary learning with beta process priors.

[BibT_eX]

[DOI]

Neurocomputing, 2016

Neighborhood Preserved Sparse Representation for Robust Classification on Symmetric Positive Definite Matrices.

[BibT_eX]

[DOI]

CoRR, 2016

Low-rank Multi-view Clustering in Third-Order Tensor Space.

[BibT_eX]

[DOI]

CoRR, 2016

Laplacian LRR on Product Grassmann Manifolds for Human Activity Clustering in Multi-Camera Video Surveillance.

[BibT_eX]

[DOI]

CoRR, 2016

Kernelized LRR on Grassmann Manifolds for Subspace Clustering.

[BibT_eX]

[DOI]

CoRR, 2016

Low-Rank Representation over the Manifold of Curves.

[BibT_eX]

[DOI]

CoRR, 2016

Matrix Variate RBM and Its Applications.

[BibT_eX]

[DOI]

CoRR, 2016

Mixture of Bilateral-Projection Two-dimensional Probabilistic Principal Component Analysis.

[BibT_eX]

[DOI]

CoRR, 2016

Partial Least Squares Regression on Riemannian Manifolds and Its Application in Classifications.

[BibT_eX]

[DOI]

CoRR, 2016

A Fast Algorithm to Estimate the Square Root of Probability Density Function.

[BibT_eX]

[DOI]

Proceedings of the Research and Development in Intelligent Systems XXXIII, 2016

Distance Measurement of Objects using Stereo Vision.

[BibT_eX]

[DOI]

Proceedings of the 9th Hellenic Conference on Artificial Intelligence, 2016

Biometric Authentication Using Facial Recognition.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2016

Automatic retinal vessel extraction algorithm based on contrast-sensitive schemes.

[BibT_eX]

[DOI]

Mohammad A. U. Khan

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Fuzzy rule based approach for face and facial feature extraction in biometric authentication.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Image and Vision Computing New Zealand, 2016

Neural network based denoised methods for retinal fundus images and MRI brain images.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Matrix Variate Restricted Boltzmann Machine.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Nonparametrically Guided Autoencoder with Laplace Approximation for dimensionality reduction.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Manifold optimization for nonnegative coefficient logistic regression.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Classification on Stiefel and Grassmann manifolds via maximum Likelihood estimation of matrix distributions.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Detection of Human Faces Using Neural Networks.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Fuzzy logic based filtering for image de-noising.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE International Conference on Fuzzy Systems, 2016

Automatic Retinal Vessel Extraction Algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Role of Image Contrast Enhancement Technique for Ophthalmologist as Diagnostic Tool for Diabetic Retinopathy.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

MLE-Based Learning on Grassmann Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Kernel Sparse Subspace Clustering on Symmetric Positive Definite Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Proximal Riemannian Pursuit for Large-Scale Trace-Norm Minimization.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Mixture of Bilateral-Projection Two-Dimensional Probabilistic Principal Component Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Product Grassmann Manifold Representation and Its LRR Models.

[BibT_eX]

[DOI]

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Sparse Density Estimation on the Multinomial Manifold.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Dual Graph Regularized Latent Low-Rank Representation for Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Image Outlier Detection and Feature Extraction via L1-Norm-Based 2D Probabilistic PCA.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

Nonlinear Identification Using Orthogonal Forward Regression With Nested Optimal Regularization.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Discriminative Analysis for Symmetric Positive Definite Matrices on Lie Groups.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2015

Facial Analysis With a Lie Group Kernel.

[BibT_eX]

[DOI]

IEEE Trans. Circuits Syst. Video Technol., 2015

Relations Among Some Low-Rank Subspace Recovery Models.

[BibT_eX]

[DOI]

Neural Comput., 2015

Relevance units machine based dimensional and continuous speech emotion prediction.

[BibT_eX]

[DOI]

Multim. Tools Appl., 2015

Random spatial subspace clustering.

[BibT_eX]

[DOI]

Feng Li

Knowl. Based Syst., 2015

Image super-resolution via 2D tensor regression learning.

[BibT_eX]

[DOI]

Shuting Cai

Comput. Vis. Image Underst., 2015

Band-Level Correlation Noise Modeling for Wyner-Ziv Video Coding with Gaussian Mixture Models.

[BibT_eX]

[DOI]

Circuits Syst. Signal Process., 2015

Low Rank Representation on Grassmann Manifolds: An Extrinsic Perspective.

[BibT_eX]

[DOI]

CoRR, 2015

Kernelized Low Rank Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

CoRR, 2015

Segmentation of Subspaces in Sequential Data.

[BibT_eX]

[DOI]

CoRR, 2015

Scalable Nuclear-norm Minimization by Subspace Pursuit Proximal Riemannian Gradient.

[BibT_eX]

[DOI]

CoRR, 2015

l1-norm Penalized Orthogonal Forward Regression.

[BibT_eX]

[DOI]

CoRR, 2015

Low Rank Representation on Riemannian Manifold of Square Root Densities.

[BibT_eX]

[DOI]

CoRR, 2015

Fast Optimization Algorithm on Riemannian Manifolds and Its Application in Low-Rank Representation.

[BibT_eX]

[DOI]

CoRR, 2015

Conics Detection Method based on Pascal's Theorem.

[BibT_eX]

[DOI]

Md. Musfequs Salehin

Proceedings of the VISAPP 2015, 2015

Human Surveillance System for Security Application.

[BibT_eX]

[DOI]

Proceedings of the Security and Privacy in Communication Networks, 2015

Image Spam Classification Using Neural Network.

[BibT_eX]

[DOI]

Morshed U. Chowdhury

Proceedings of the Security and Privacy in Communication Networks, 2015

Low Rank Representation on Riemannian Manifold of Symmetric Positive Definite Matrices.

[BibT_eX]

[DOI]

Proceedings of the 2015 SIAM International Conference on Data Mining, Vancouver, BC, Canada, April 30, 2015

Sparse density estimation on multinomial manifold combining local component analysis.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Low rank sequential subspace clustering.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Study of the Noise Level in the Colour Fundus Images.

[BibT_eX]

[DOI]

Proceedings of the Data Science - Second International Conference, 2015

Active Class Discovery by Querying Pairwise Label Homogeneity.

[BibT_eX]

[DOI]

Yifan Fu

Xingquan Zhu

Proceedings of the Data Science - Second International Conference, 2015

Selective Multi-Source Total Variation Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Learning graph structure for multi-label image classification via clique generation.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

An Ordered-Patch-Based Image Classification Approach on the Image Grassmannian Manifold.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

Complex-Valued B-Spline Neural Networks for Modeling and Inverting Hammerstein Systems.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2014

TPSLVM: A Dimensionality Reduction Algorithm Based On Thin Plate Splines.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Correlated Spatio-Temporal Data Collection in Wireless Sensor Networks Based on Low Rank Matrix Approximation and Optimized Node Sampling.

[BibT_eX]

[DOI]

Sensors, 2014

Transfer dimensionality reduction by Gaussian process in parallel.

[BibT_eX]

[DOI]

Knowl. Inf. Syst., 2014

Blind image deblurring via coupled sparse representation.

[BibT_eX]

[DOI]

J. Vis. Commun. Image Represent., 2014

Robust latent low rank representation for subspace clustering.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Linear time Principal Component Pursuit and its extensions using ℓ1 filtering.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Fast identification algorithms for Gaussian process model.

[BibT_eX]

[DOI]

Neurocomputing, 2014

Group subset selection for linear regression.

[BibT_eX]

[DOI]

Mark Berman

Comput. Stat. Data Anal., 2014

An improved independent component analysis model for 3D chromatogram separation and its solution by multi-areas genetic algorithm.

[BibT_eX]

[DOI]

BMC Bioinform., 2014

A Decomposition Model for HPLC-DAD Data Set and Its Solution by Particle Swarm Optimization.

[BibT_eX]

[DOI]

Appl. Comput. Intell. Soft Comput., 2014

Rock Fragment Boundary Detection Using Compressed Random Features.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, Imaging and Computer Graphics - Theory and Applications, 2014

Delineation of Rock Fragments by Classification of Image Patches using Compressed Random Features.

[BibT_eX]

[DOI]

Proceedings of the VISAPP 2014, 2014

Gaussian Processes Autoencoder for Dimensionality Reduction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2014

Linear Subspace Learning via sparse dimension reduction.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Dimensionality reduction assisted tensor clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Fuzzy c-means clustering with a new regularization term for image segmentation.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Tensor LRR based subspace clustering.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Joint multiple dictionary learning for Tensor sparse coding.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Joint Conference on Neural Networks, 2014

Smoothing Security Prices.

[BibT_eX]

[DOI]

Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Tensor Regression Based on Linked Multiway Parameter Analysis.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Data Mining, 2014

Blocky artifact removal with low-rank matrix recovery.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Affinity Pansharpening and Image Fusion.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

The W-Penalty and Its Application to Alpha Matting with Sparse Labels.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Image Segmentation Based on Spatially Coherent Gaussian Mixture Model.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Image Segmentation Using Dictionary Learning and Compressed Random Features.

[BibT_eX]

[DOI]

Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Subspace Clustering for Sequential Data.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Separation model of Generalized Reference Curve Measurement for HPLC-DAD and it solution by multi-target Bare Bones Particle Swarm Optimization.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE International Conference on Bioinformatics and Biomedicine, 2014

Low Rank Representation on Grassmann Manifolds.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ACCV 2014, 2014

2013

UND: Unite-and-Divide Method in Fourier and Radon Domains for Line Segment Detection.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2013

On the construction of the relevance vector machine based on Bayesian Ying-Yang harmony learning.

[BibT_eX]

[DOI]

Neural Networks, 2013

Filtering financial time series by least squares.

[BibT_eX]

[DOI]

Int. J. Mach. Learn. Cybern., 2013

Particle swarm optimisation assisted classification using elastic net prefiltering.

[BibT_eX]

[DOI]

Neurocomputing, 2013

Dimensionality Reduction with Dimension Selection.

[BibT_eX]

[DOI]

Feng Li

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

Large scale hyperspectral data segmentation by random spatial subspace clustering.

[BibT_eX]

[DOI]

Feng Li

Proceedings of the 2013 IEEE International Geoscience and Remote Sensing Symposium, 2013

Robust face recognition via double low-rank matrix recovery for feature extraction.

[BibT_eX]

[DOI]

Shuting Cai

Proceedings of the IEEE International Conference on Image Processing, 2013

Restricted Boltzmann machine approach to couple dictionary training for image super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Image Processing, 2013

Sparse model construction using coordinate descent optimization.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Digital Signal Processing, 2013

Image Matting for Sparse User Input by Iterative Refinement.

[BibT_eX]

[DOI]

Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Parallel model of independent component analysis constrained by reference curves for HPLC-DAD and its solution by multi-areas genetic algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE International Conference on Bioinformatics and Biomedicine, 2013

Endmember Extraction by Exemplar Finder.

[BibT_eX]

[DOI]

Yanfeng Sun

Proceedings of the Advanced Data Mining and Applications - 9th International Conference, 2013

2012

Supervised Latent Linear Gaussian Process Latent Variable Model for Dimensionality Reduction.

[BibT_eX]

[DOI]

IEEE Trans. Syst. Man Cybern. Part B, 2012

Dimensionality reduction via compressive sensing.

[BibT_eX]

[DOI]

Qinfeng Shi

Tibério S. Caetano

Pattern Recognit. Lett., 2012

CAIRAD: A co-appearance based analysis for Incorrect Records and Attribute-values Detection.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Optimizing the moving average.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

Thin Plate Spline Latent Variable Models for dimensionality reduction.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012

The Image Matting Method with Regularized Matte.

[BibT_eX]

[DOI]

Manoranjan Paul

Jun Liu

Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

3D motion estimation for 3D video coding.

[BibT_eX]

[DOI]

Manoranjan Paul

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Natural Image Matting with Total Variation Regularisation.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Transposed Low Rank Representation for Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2012 International Conference on Digital Image Computing Techniques and Applications, 2012

Constrained Grouped Sparsity.

[BibT_eX]

[DOI]

Proceedings of the AI 2012: Advances in Artificial Intelligence, 2012

2011

Content-Based Image Retrieval of Cultural Heritage Symbols by Interaction of Visual Perspectives.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2011

A novel approach in discovering significant interactions from TCM patient prescription data.

[BibT_eX]

[DOI]

Int. J. Data Min. Bioinform., 2011

Gaussian Process for Dimensionality Reduction in Transfer Learning.

[BibT_eX]

[DOI]

Proceedings of the Eleventh SIAM International Conference on Data Mining, 2011

Application of Learning from Demonstration to a Mining Tunnel Inspection Robot.

[BibT_eX]

[DOI]

Proceedings of the First International Conference on Robot, Vision and Signal Processing, 2011

Local Feature Based Tensor Kernel for Image Manifold Learning.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2011

Multi-task beta process sparse kernel machines.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

Image Matting via Local Tangent Space Alignment.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Classification of Hand-Written Digits Using Chordiograms.

[BibT_eX]

[DOI]

Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

Analysis of herbal formulation in TCM: Infertility as a case study.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2011

Penalized Least Squares for Smoothing Financial Time Series.

[BibT_eX]

[DOI]

Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010

Relevance units latent variable model and nonlinear dimensionality reduction.

[BibT_eX]

[DOI]

Jun Zhang

David Tien

IEEE Trans. Neural Networks, 2010

Sparse kernel learning with LASSO and Bayesian inference algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2010

A Learning Framework for Adaptive Fingerprint Identification Using Relevance Feedback.

[BibT_eX]

[DOI]

Int. J. Pattern Recognit. Artif. Intell., 2010

Learning Gradients with Gaussian Processes.

[BibT_eX]

[DOI]

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2010

Efficient character segmentation on car license plates.

[BibT_eX]

[DOI]

Xiangjian He

Proceedings of the 11th International Conference on Control, 2010

Studying herb-herb interaction for insomnia through the theory of complementarities.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Analysis of synergistic and antagonistic effects of TCM: Cases on diabetes and insomnia.

[BibT_eX]

[DOI]

Proceedings of the 2010 IEEE International Conference on Bioinformatics and Biomedicine Workshops, 2010

Dimensionality Reduction for Classification through Visualisation Using L1SNE.

[BibT_eX]

[DOI]

Lennon V. Cook

Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

2009

Comprehensive Analysis for the Local Fisher Discriminant Analysis.

[BibT_eX]

[DOI]

Xiaodi Huang

Int. J. Pattern Recognit. Artif. Intell., 2009

Robust multivariate L1 principal component analysis and dimensionality reduction.

[BibT_eX]

[DOI]

Neurocomputing, 2009

Sparse Kernel Learning and the Relevance Units Machine.

[BibT_eX]

[DOI]

Jun Zhang

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2009

A User-Centered Framework for Adaptive Fingerprint Identification.

[BibT_eX]

[DOI]

Graham Leedham

Proceedings of the Intelligence and Security Informatics, Pacific Asia Workshop, 2009

Initiation of Evolutionary Algorithms.

[BibT_eX]

Adrian O'Connor

John Louis

Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009

Termination Criteria for Evolutionary Algorithms.

[BibT_eX]

Adrian O'Connor

John Louis

Proceedings of the 2009 International Conference on Genetic and Evolutionary Methods, 2009

Regularized Kernel Local Linear Embedding on Dimensionality Reduction for Non-vectorial Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2009: Advances in Artificial Intelligence, 2009

2008

Twin Kernel Embedding.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Robust L1 Principal Component Analysis and Its Bayesian Variational Inference.

[BibT_eX]

[DOI]

Neural Comput., 2008

Novel methods for high-resolution facial image capture using calibrated PTZ and static cameras.

[BibT_eX]

[DOI]

Richard Yi Da Xu

Proceedings of the 2008 IEEE International Conference on Multimedia and Expo, 2008

Using a Stochastic Funnel to find NLR Starting Values.

[BibT_eX]

Adrian O'Connor

John Louis

Proceedings of the 2008 International Conference on Genetic and Evolutionary Methods, 2008

L1 LASSO Modeling and Its Bayesian Inference.

[BibT_eX]

[DOI]

Proceedings of the AI 2008: Advances in Artificial Intelligence, 2008

2007

Significant vector learning to construct sparse kernel regression models.

[BibT_eX]

[DOI]

Xiaomao Liu

Neural Networks, 2007

A new algorithm for removing node overlapping in graph visualization.

[BibT_eX]

[DOI]

Inf. Sci., 2007

Simulated maximum likelihood method for estimating kinetic rates in gene expression.

[BibT_eX]

[DOI]

Bioinform., 2007

The Kernelized Geometrical Bisection Methods.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Networks, 2007

Twin Kernel Embedding with Back Constraints.

[BibT_eX]

[DOI]

Proceedings of the Workshops Proceedings of the 7th IEEE International Conference on Data Mining (ICDM 2007), 2007

A Discriminant Analysis for Undersampled Data.

[BibT_eX]

[DOI]

Matthew Robards

Philip Charlton

Proceedings of the Integrating Artificial Intelligence and Data Mining, 2007

Twin Kernel Embedding with Relaxed Constraints on Dimensionality Reduction for Structured Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Mixture of the Robust L1 Distributions and Its Applications.

[BibT_eX]

[DOI]

Richard Y. D. Xu

Proceedings of the AI 2007: Advances in Artificial Intelligence, 2007

Learning Optimal Kernel from Distance Metric in Twin Kernel Embedding for Dimensionality Reduction and Visualization of Fingerprints.

[BibT_eX]

[DOI]

Proceedings of the Advanced Data Mining and Applications, Third International Conference, 2007

2006

The construction of wavelet network for speech signal processing.

[BibT_eX]

[DOI]

Neural Comput. Appl., 2006

Manifolds of Bag of Pixels: A Better Representation for Image Recognition.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Systems, 2006

Kernel Laplacian Eigenmaps for Visualization of Non-vectorial Data.

[BibT_eX]

[DOI]

Proceedings of the AI 2006: Advances in Artificial Intelligence, 2006

A multi-step strategy for approximate similarity search in image databases.

[BibT_eX]

[DOI]

Proceedings of the Database Technologies 2006, 2006

2005

Sensitivity analysis applied to the construction of radial basis function networks.

[BibT_eX]

[DOI]

Daniel S. Yeung

Neural Networks, 2005

E-procurement assimilation: an assessment of e-business capabilities and supplier readiness in the Australian public sector.

[BibT_eX]

[DOI]

Kishor Vaidya

A. S. M. Sajeev

Proceedings of the 7th International Conference on Electronic Commerce, 2005

2004

On the construction of support wavelet network.

[BibT_eX]

[DOI]

Fei Chen

Proceedings of the IEEE International Conference on Systems, 2004

Critical Vector Learning to Construct RBF Classifiers.

[BibT_eX]

[DOI]

Proceedings of the 17th International Conference on Pattern Recognition, 2004

Radial Basis Function Network Pruning by Sensitivity Analysis.

[BibT_eX]

[DOI]

Proceedings of the Advances in Artificial Intelligence, 2004

2003

SVM regression through variational methods and its sequential implementation.

[BibT_eX]

[DOI]

Neurocomputing, 2003

Mean field method for the support vector machine regression.

[BibT_eX]

[DOI]

Neurocomputing, 2003

2002

A Probabilistic Framework for SVM Regression and Error Bar Estimation.

[BibT_eX]

[DOI]

Mach. Learn., 2002

Some remarks on Kalman filters for the multisensor fusion.

[BibT_eX]

[DOI]

Inf. Fusion, 2002

Adapting Kernels by Variational Approach in SVM.

[BibT_eX]

[DOI]

Jaz S. Kandola

Proceedings of the AI 2002: Advances in Artificial Intelligence, 2002

2001

On a Class of Support Vector Kernels Based on Frames in Function Hilbert Spaces.

[BibT_eX]

[DOI]

Neural Comput., 2001

2000

Adaptive linear finite-element method for modelling nonlinear dynamic systems.

[BibT_eX]

[DOI]

Int. J. Syst. Sci., 2000

1993

A C 2 finite element and interpolation.

[BibT_eX]

[DOI]