Duc-Son Pham

Orcid: 0000-0002-4006-7803

Affiliations:
  • Curtin University, Bentley, WA, USA


According to our database1, Duc-Son Pham authored at least 71 papers between 2003 and 2024.

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Bibliography

2024
Some Considerations for the Preservation of Endangered Languages Using Low-Resource Machine Translation.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
Improving Text-Independent Forced Alignment to Support Speech-Language Pathologists with Phonetic Transcription.
Sensors, December, 2023

Improved Short-term Dense Bottleneck network for efficient scene analysis.
Comput. Vis. Image Underst., October, 2023

A real-time semantic segmentation model using iteratively shared features in multiple sub-encoders.
Pattern Recognit., August, 2023

Deep neural networks in the cloud: Review, applications, challenges and research directions.
Neurocomputing, 2023

Multi-Encoder Context Aggregation Network for Structured and Unstructured Urban Street Scene Analysis.
IEEE Access, 2023

EfficienTransNet: An Automated Chest X-ray Report Generation Paradigm.
Proceedings of the 1st International Workshop on Multimodal and Responsible Affective Computing, 2023

Effi-Seg: Rethinking EfficientNet Architecture for Real-Time Semantic Segmentation.
Proceedings of the Neural Information Processing - 30th International Conference, 2023

Semantic Segmentation for Improved Cell Nuclei Analysis.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

Transformers Are All You Need to Generate Automatic Report from Chest X-ray Images.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2023

2022
Green Multistage Upgrade of Switches and Controllers for Bundled-Links SDNs.
IEEE Access, 2022

A Text-Independent Forced Alignment Method for Automatic Phoneme Segmentation.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Explainable Network Intrusion Detection Using External Memory Models.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

Explainable Detection of Microplastics Using Transformer Neural Networks.
Proceedings of the AI 2022: Advances in Artificial Intelligence, 2022

2021
Urban street scene analysis using lightweight multi-level multi-path feature aggregation network.
Multiagent Grid Syst., 2021

Multi-Path Routing in Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks.
IEEE Access, 2021

A Lightweight Multi-scale Feature Fusion Network for Real-Time Semantic Segmentation.
Proceedings of the Neural Information Processing - 28th International Conference, 2021

Green Multi-Stage Upgrade for Bundled-Links SDN/OSPF-ECMP Networks.
Proceedings of the ICC 2021, 2021

SCMNet: Shared Context Mining Network for Real-time Semantic Segmentation.
Proceedings of the 2021 Digital Image Computing: Techniques and Applications, 2021

2020
An Efficient Feature Extraction Method for the Detection of Material Rings in Rotary Kilns.
IEEE Trans. Ind. Informatics, 2020

RobustRepStream: Robust stream clustering using self-controlled connectivity graph.
Intell. Data Anal., 2020

Efficient Segmentation Pyramid Network.
Proceedings of the Neural Information Processing - 27th International Conference, 2020

FANet: Feature Aggregation Network for Semantic Segmentation.
Proceedings of the Digital Image Computing: Techniques and Applications, 2020

2019
Using distribution analysis for parameter selection in repstream.
Math. Found. Comput., 2019

Modelling and Flame Segmentation for Real-Time Monitoring of Rotary Kilns.
Proceedings of the 2019 Digital Image Computing: Techniques and Applications, 2019

2017
An Investigation of Power Law Probability Distributions for Network Anomaly Detection.
Proceedings of the 2017 IEEE Security and Privacy Workshops, 2017

Graph-based clustering with DRepStream.
Proceedings of the Symposium on Applied Computing, 2017

2016
CCTV Scene Perspective Distortion Estimation From Low-Level Motion Features.
IEEE Trans. Circuits Syst. Video Technol., 2016

Achieving stable subspace clustering by post-processing generic clustering results.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

2015
Detection of Dynamic Background Due to Swaying Movements From Motion Features.
IEEE Trans. Image Process., 2015

Two Maximum Entropy-Based Algorithms for Running Quantile Estimation in Nonstationary Data Streams.
IEEE Trans. Circuits Syst. Video Technol., 2015

Mixed-norm sparse representation for multi view face recognition.
Pattern Recognit., 2015

On group-wise <sub>ℓ</sub><sub>p</sub> regularization: Theory and efficient algorithms.
Pattern Recognit., 2015

Efficient and accurate set-based registration of time-separated aerial images.
Pattern Recognit., 2015

Viewpoint distortion compensation in practical surveillance systems.
CoRR, 2015

Visual Object Clustering via Mixed-Norm Regularization.
Proceedings of the 2015 IEEE Winter Conference on Applications of Computer Vision, 2015

The adaptable buffer algorithm for high quantile estimation in non-stationary data streams.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Groupwise Registration of Aerial Images.
Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

A Study of Web Application Firewall Solutions.
Proceedings of the Information Systems Security - 11th International Conference, 2015

Multi-View Subspace Clustering for Face Images.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

Improved Impulse Noise Removal with Generalized Median Filter.
Proceedings of the 2015 International Conference on Digital Image Computing: Techniques and Applications, 2015

An Industrial Application of Rotation Forest: Transformer Health.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

Detection of Structural Changes in Data Streams.
Proceedings of the Thirteenth Australasian Data Mining Conference, 2015

2014
Anomaly detection in large-scale data stream networks.
Data Min. Knowl. Discov., 2014

Two maximum entropy based algorithms for running quantile estimation in non-stationary data streams.
CoRR, 2014

Stream Quantiles via Maximal Entropy Histograms.
Proceedings of the Neural Information Processing - 21st International Conference, 2014

2013
Efficient Algorithms for Robust Recovery of Images From Compressed Data.
IEEE Trans. Image Process., 2013

Compressive speech enhancement.
Speech Commun., 2013

Detection of cross-channel anomalies.
Knowl. Inf. Syst., 2013

A novel information theoretic approach to wavelet feature selection for texture classification.
Comput. Electr. Eng., 2013

Sparse Subspace Clustering via Group Sparse Coding.
Proceedings of the 13th SIAM International Conference on Data Mining, 2013

Clustering Patient Medical Records via Sparse Subspace Representation.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2013

2012
Improved Image Recovery From Compressed Data Contaminated With Impulsive Noise.
IEEE Trans. Image Process., 2012

ConeRANK: Ranking as Learning Generalized Inequalities
CoRR, 2012

Large-scale statistical modeling of motion patterns: a Bayesian nonparametric approach.
Proceedings of the Eighth Indian Conference on Vision, Graphics and Image Processing, 2012

Multi-modal abnormality detection in video with unknown data segmentation.
Proceedings of the 21st International Conference on Pattern Recognition, 2012

Sparse Subspace Representation for Spectral Document Clustering.
Proceedings of the 12th IEEE International Conference on Data Mining, 2012

Improved subspace clustering via exploitation of spatial constraints.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Detection of Cross-Channel Anomalies from Multiple Data Channels.
Proceedings of the 11th IEEE International Conference on Data Mining, 2011

Supervised Subspace Learning with Multi-class Lagrangian SVM on the Grassmann Manifold.
Proceedings of the AI 2011: Advances in Artificial Intelligence, 2011

2010
Bayesian Minimax Estimation of the Normal Model With Incomplete Prior Covariance Matrix Specification.
IEEE Trans. Inf. Theory, 2010

A Fast Extension for Sparse Representation on Robust Face Recognition.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

2009
Effective Anomaly Detection in Sensor Networks Data Streams.
Proceedings of the ICDM 2009, 2009

2008
Estimation of Multicomponent Polynomial Phase Signals With Missing Observations.
IEEE Trans. Signal Process., 2008

Joint learning and dictionary construction for pattern recognition.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

Robust learning of discriminative projection for multicategory classification on the Stiefel manifold.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
A Nonlinear M-Estimation Approach to Robust Asynchronous Multiuser Detection in Non-Gaussian Noise.
IEEE Trans. Signal Process., 2007

Analysis of Multicomponent Polynomial Phase Signals.
IEEE Trans. Signal Process., 2007

2006
An Optimisation Approach to Robust Estimation of Multicomponent Polynomial Phase Signals in Non-Gaussian Noise.
Proceedings of the IEEE Asia Pacific Conference on Circuits and Systems 2006, 2006

2004
Sequential M-estimation.
Proceedings of the 2004 IEEE International Conference on Acoustics, 2004

2003
A low complexity hybrid algorithm for robust iterative multiuser detection.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003


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