Lei Wang

Orcid: 0000-0002-0961-0441

Affiliations:
  • University of Wollongong, NSW, Australia
  • Australian National University, Canberra, ACT, Australia (former)
  • Nanyang Technological University, Singapore (PhD 2004)


According to our database1, Lei Wang authored at least 223 papers between 2000 and 2024.

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Bibliography

2024
Contextual Word Embedding for Biomedical Knowledge Extraction: a Rapid Review and Case Study.
J. Heal. Informatics Res., March, 2024

Meet JEANIE: a Similarity Measure for 3D Skeleton Sequences via Temporal-Viewpoint Alignment.
CoRR, 2024

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning.
Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023
LibFewShot: A Comprehensive Library for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., December, 2023

A Multilayer Framework for Online Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., October, 2023

Global- and local-aware feature augmentation with semantic orthogonality for few-shot image classification.
Pattern Recognit., October, 2023

Unsupervised generalizable multi-source person re-identification: A Domain-specific adaptive framework.
Pattern Recognit., August, 2023

Kernel-based feature aggregation framework in point cloud networks.
Pattern Recognit., July, 2023

Defensive Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., May, 2023

A Novel Mix-Normalization Method for Generalizable Multi-Source Person Re-Identification.
IEEE Trans. Multim., 2023

Dataset-Driven Unsupervised Object Discovery for Region-Based Instance Image Retrieval.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Robust fused hypergraph neural networks for multi-label classification.
J. Intell. Fuzzy Syst., 2023

A Comprehensive Study of GPT-4V's Multimodal Capabilities in Medical Imaging.
CoRR, 2023

Flow Dynamics Correction for Action Recognition.
CoRR, 2023

R2GenGPT: Radiology Report Generation with Frozen LLMs.
CoRR, 2023

Score-based causal feature selection for cancer risk prediction.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2023

Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Towards Semi-supervised Learning with Non-random Missing Labels.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Automatic Radiology Report Generation by Learning with Increasingly Hard Negatives.
Proceedings of the ECAI 2023 - 26th European Conference on Artificial Intelligence, September 30 - October 4, 2023, Kraków, Poland, 2023

METransformer: Radiology Report Generation by Transformer with Multiple Learnable Expert Tokens.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Learning Partial Correlation based Deep Visual Representation for Image Classification.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

High-Level Semantic Feature Matters Few-Shot Unsupervised Domain Adaptation.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Diffusion Kernel Attention Network for Brain Disorder Classification.
IEEE Trans. Medical Imaging, 2022

Automated Radiographic Report Generation Purely on Transformer: A Multicriteria Supervised Approach.
IEEE Trans. Medical Imaging, 2022

Adversarial Camera Alignment Network for Unsupervised Cross-Camera Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2022

From Regional to Global Brain: A Novel Hierarchical Spatial-Temporal Neural Network Model for EEG Emotion Recognition.
IEEE Trans. Affect. Comput., 2022

ASMFS: Adaptive-similarity-based multi-modality feature selection for classification of Alzheimer's disease.
Pattern Recognit., 2022

A defect detection system for wire arc additive manufacturing using incremental learning.
J. Ind. Inf. Integr., 2022

A Unified Framework for Contrastive Learning from a Perspective of Affinity Matrix.
CoRR, 2022

Instance Image Retrieval by Learning Purely From Within the Dataset.
CoRR, 2022

MutexMatch: Semi-supervised Learning with Mutex-based Consistency Regularization.
CoRR, 2022

Dual-scale correlation analysis for robust multi-label classification.
Appl. Intell., 2022

Improving Barely Supervised Learning by Discriminating Unlabeled Samples with Super-Class.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

A Medical Semantic-Assisted Transformer for Radiographic Report Generation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

Few-Shot Unsupervised Domain Adaptation via Meta Learning.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2022

Time-rEversed DiffusioN tEnsor Transformer: A New TENET of Few-Shot Object Detection.
Proceedings of the Computer Vision - ECCV 2022, 2022

RDA: Reciprocal Distribution Alignment for Robust Semi-supervised Learning.
Proceedings of the Computer Vision - ECCV 2022, 2022

DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Kernelized Few-shot Object Detection with Efficient Integral Aggregation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

LaSSL: Label-Guided Self-Training for Semi-supervised Learning.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021
GreyReID: A Novel Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
ACM Trans. Multim. Comput. Commun. Appl., 2021

SA-LuT-Nets: Learning Sample-Adaptive Intensity Lookup Tables for Brain Tumor Segmentation.
IEEE Trans. Medical Imaging, 2021

A Novel Bi-Hemispheric Discrepancy Model for EEG Emotion Recognition.
IEEE Trans. Cogn. Dev. Syst., 2021

Visual place recognition: A survey from deep learning perspective.
Pattern Recognit., 2021

The first step towards intelligent wire arc additive manufacturing: An automatic bead modelling system using machine learning through industrial information integration.
J. Ind. Inf. Integr., 2021

Beyond Covariance: SICE and Kernel Based Visual Feature Representation.
Int. J. Comput. Vis., 2021

Unsupervised Domain Generalization for Person Re-identification: A Domain-specific Adaptive Framework.
CoRR, 2021

Crosslink-Net: Double-branch Encoder Segmentation Network via Fusing Vertical and Horizontal Convolutions.
CoRR, 2021

Triplet is All You Need with Random Mappings for Unsupervised Visual Representation Learning.
CoRR, 2021

Systematic evaluation of machine learning methods for identifying human-pathogen protein-protein interactions.
Briefings Bioinform., 2021

Interactive medical image segmentation via a point-based interaction.
Artif. Intell. Medicine, 2021

Few-shot Unsupervised Domain Adaptation with Image-to-Class Sparse Similarity Encoding.
Proceedings of the MM '21: ACM Multimedia Conference, Virtual Event, China, October 20, 2021

BV-Person: A Large-scale Dataset for Bird-view Person Re-identification.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

LoFGAN: Fusing Local Representations for Few-shot Image Generation.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

A Self-Boosting Framework for Automated Radiographic Report Generation.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Sample-Adaptive GANs: Linking Global and Local Mappings for Cross-Modality MR Image Synthesis.
IEEE Trans. Medical Imaging, 2020

Attention-Diffusion-Bilinear Neural Network for Brain Network Analysis.
IEEE Trans. Medical Imaging, 2020

Progressive Cross-Camera Soft-Label Learning for Semi-Supervised Person Re-Identification.
IEEE Trans. Circuits Syst. Video Technol., 2020

Multiple Kernel $k$k-Means with Incomplete Kernels.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Absent Multiple Kernel Learning Algorithms.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Deep learning based HEp-2 image classification: A comprehensive review.
Medical Image Anal., 2020

A framework towards data analytics on host-pathogen protein-protein interactions.
J. Ambient Intell. Humaniz. Comput., 2020

Class Distribution Alignment for Adversarial Domain Adaptation.
CoRR, 2020

APEX2S: A two-layer machine learning model for discovery of host-pathogen protein-protein interactions on cloud-based multiomics data.
Concurr. Comput. Pract. Exp., 2020

Towards A More Effective Bidirectional LSTM-Based Learning Model for Human-Bacterium Protein-Protein Interactions.
Proceedings of the Practical Applications of Computational Biology & Bioinformatics, 2020

Learning Sample-Adaptive Intensity Lookup Table for Brain Tumor Segmentation.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

HIME: Mining and Ensembling Heterogeneous Information for Protein-Protein Interactions Prediction.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Asymmetric Distribution Measure for Few-shot Learning.
Proceedings of the Twenty-Ninth International Joint Conference on Artificial Intelligence, 2020

ReDro: Efficiently Learning Large-Sized SPD Visual Representation.
Proceedings of the Computer Vision - ECCV 2020, 2020

Differentiable Meta-Learning Model for Few-Shot Semantic Segmentation.
Proceedings of the Thirty-Fourth AAAI Conference on Artificial Intelligence, 2020

A Service Computing Framework for Proteomics Analysis and Collaboration of Pathogenic Mechanism Studies.
Proceedings of the 2020 IEEE International Conference on Services Computing, 2020

2019
Ea-GANs: Edge-Aware Generative Adversarial Networks for Cross-Modality MR Image Synthesis.
IEEE Trans. Medical Imaging, 2019

3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
IEEE Trans. Medical Imaging, 2019

A Probabilistic Approach to Cross-Region Matching-Based Image Retrieval.
IEEE Trans. Image Process., 2019

Late Fusion Incomplete Multi-View Clustering.
IEEE Trans. Pattern Anal. Mach. Intell., 2019

Calibrated Multi-label Classification with Label Correlations.
Neural Process. Lett., 2019

Graph-Based Place Recognition in Image Sequences with CNN Features.
J. Intell. Robotic Syst., 2019

Defensive Few-shot Adversarial Learning.
CoRR, 2019

GreyReID: A Two-stream Deep Framework with RGB-grey Information for Person Re-identification.
CoRR, 2019

Adversarial Camera Alignment Network for Unsupervised Cross-camera Person Re-identification.
CoRR, 2019

Cross-Modal Attention-Guided Convolutional Network for Multi-modal Cardiac Segmentation.
Proceedings of the Machine Learning in Medical Imaging - 10th International Workshop, 2019

Integrating Functional and Structural Connectivities via Diffusion-Convolution-Bilinear Neural Network.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2019, 2019

A Mask Based Deep Ranking Neural Network for Person Retrieval.
Proceedings of the IEEE International Conference on Multimedia and Expo, 2019

Miss Detection vs. False Alarm: Adversarial Learning for Small Object Segmentation in Infrared Images.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

A Novel Unsupervised Camera-Aware Domain Adaptation Framework for Person Re-Identification.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Revisiting Local Descriptor Based Image-To-Class Measure for Few-Shot Learning.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Leveraging SMOTE in a Two-Layer Model for Prediction of Protein-Protein Interactions.
Proceedings of the Seventh International Conference on Advanced Cloud and Big Data, 2019

Hyperparameter Estimation in SVM with GPU Acceleration for Prediction of Protein-Protein Interactions.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Distribution Consistency Based Covariance Metric Networks for Few-Shot Learning.
Proceedings of the Thirty-Third AAAI Conference on Artificial Intelligence, 2019

2018
Incomplete-Data Oriented Multiview Dimension Reduction via Sparse Low-Rank Representation.
IEEE Trans. Neural Networks Learn. Syst., 2018

Detection and Separation of Smoke From Single Image Frames.
IEEE Trans. Image Process., 2018

OPML: A one-pass closed-form solution for online metric learning.
Pattern Recognit., 2018

3D conditional generative adversarial networks for high-quality PET image estimation at low dose.
NeuroImage, 2018

Online Deep Metric Learning.
CoRR, 2018

Interactive Medical Image Segmentation via Point-Based Interaction and Sequential Patch Learning.
CoRR, 2018

MaskReID: A Mask Based Deep Ranking Neural Network for Person Re-identification.
CoRR, 2018

Structural Principles Analysis of Host-Pathogen Protein-Protein Interactions: A Structural Bioinformatics Survey.
IEEE Access, 2018

Instance Image Retrieval by Aggregating Sample-based Discriminative Characteristics.
Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Locality Adaptive Multi-modality GANs for High-Quality PET Image Synthesis.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2018, 2018

Multi-modality feature selection with adaptive similarity learning for classification of Alzheimer's disease.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

3D cGAN based cross-modality MR image synthesis for brain tumor segmentation.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

Tumor segmentation via multi-modality joint dictionary learning.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

DeepKSPD: Learning Kernel-Matrix-Based SPD Representation For Fine-Grained Image Recognition.
Proceedings of the Computer Vision - ECCV 2018, 2018

Modelling Diffusion Process by Deep Neural Networks for Image Retrieval.
Proceedings of the British Machine Vision Conference 2018, 2018

Towards Biological Sequence Data Service with Insights.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

A Joint Local and Global Deep Metric Learning Method for Caricature Recognition.
Proceedings of the Computer Vision - ACCV 2018, 2018

A Power Efficient Hardware Implementation of the IF Neuron Model.
Proceedings of the Advanced Computer Architecture - 12th Conference, 2018

2017
A Graph-Embedding Approach to Hierarchical Visual Word Mergence.
IEEE Trans. Neural Networks Learn. Syst., 2017

Two-Stage Friend Recommendation Based on Network Alignment and Series Expansion of Probabilistic Topic Model.
IEEE Trans. Multim., 2017

HEp-2 Cell Image Classification With Deep Convolutional Neural Networks.
IEEE J. Biomed. Health Informatics, 2017

Subject-adaptive Integration of Multiple SICE Brain Networks with Different Sparsity.
Pattern Recognit., 2017

Compositional Model Based Fisher Vector Coding for Image Classification.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Infomax principle based pooling of deep convolutional activations for image retrieval.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 2017

Training Triplet Networks with GAN.
Proceedings of the 5th International Conference on Learning Representations, 2017

Revisiting Metric Learning for SPD Matrix Based Visual Representation.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Collaborative data analytics towards prediction on pathogen-host protein-protein interactions.
Proceedings of the 21st IEEE International Conference on Computer Supported Cooperative Work in Design, 2017

Leveraging Stacked Denoising Autoencoder in Prediction of Pathogen-Host Protein-Protein Interactions.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Towards Elucidating the Structural Principles of Host-Pathogen Protein-Protein Interaction Networks: A Bioinformatics Survey.
Proceedings of the 2017 IEEE International Congress on Big Data, 2017

Multiple Kernel k-Means with Incomplete Kernels.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Learning Discriminative Stein Kernel for SPD Matrices and Its Applications.
IEEE Trans. Neural Networks Learn. Syst., 2016

Social Friend Recommendation Based on Multiple Network Correlation.
IEEE Trans. Multim., 2016

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

A Generalized Probabilistic Framework for Compact Codebook Creation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Exploiting Structure Sparsity for Covariance-based Visual Representation.
CoRR, 2016

Multiple Kernel Clustering with Local Kernel Alignment Maximization.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Semi-Supervised Weight Learning for the Spatial Search Method in ConvNet-Based Image Retrieval.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Image Descriptors from ConvNets: Comparing Global Pooling Methods for Image Retrieval.
Proceedings of the 2016 International Conference on Digital Image Computing: Techniques and Applications, 2016

Towards Data Analytics of Pathogen-Host Protein-Protein Interaction: A Survey.
Proceedings of the 2016 IEEE International Congress on Big Data, San Francisco, CA, USA, June 27, 2016

Multiple Kernel <i>k</i>-Means Clustering with Matrix-Induced Regularization.
Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015
Density Maximization for Improving Graph Matching With Its Applications.
IEEE Trans. Image Process., 2015

Functional Brain Network Classification With Compact Representation of SICE Matrices.
IEEE Trans. Biomed. Eng., 2015

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction.
Pattern Recognit., 2015

Sensors for Robotics 2015.
J. Sensors, 2015

Multiple kernel extreme learning machine.
Neurocomputing, 2015

Beyond Covariance: Feature Representation with Nonlinear Kernel Matrices.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Absent Multiple Kernel Learning.
Proceedings of the Twenty-Ninth AAAI Conference on Artificial Intelligence, 2015

2014
Efficient Dual Approach to Distance Metric Learning.
IEEE Trans. Neural Networks Learn. Syst., 2014

Global and Local Structure Preservation for Feature Selection.
IEEE Trans. Neural Networks Learn. Syst., 2014

HEp-2 cell image classification with multiple linear descriptors.
Pattern Recognit., 2014

A Hierarchical Word-Merging Algorithm with Class Separability Measure.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Smoke Detection in Video: An Image Separation Approach.
Int. J. Comput. Vis., 2014

Encoding High Dimensional Local Features by Sparse Coding Based Fisher Vectors.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Max-Margin Based Learning for Discriminative Bayesian Network from Neuroimaging Data.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

Exploring Compact Representation of SICE Matrices for Functional Brain Network Classification.
Proceedings of the Machine Learning in Medical Imaging - 5th International Workshop, 2014

A Method of Discriminative Information Preservation and In-Dimension Distance Minimization Method for Feature Selection.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

HEp-2 Cell Image Classification with Convolutional Neural Networks.
Proceedings of the 1st Workshop on Pattern Recognition Techniques for Indirect Immunofluorescence Images, 2014

Progressive Mode-Seeking on Graphs for Sparse Feature Matching.
Proceedings of the Computer Vision - ECCV 2014, 2014

Experimental Study of Unsupervised Feature Learning for HEp-2 Cell Images Clustering.
Proceedings of the 2014 International Conference on Digital Image Computing: Techniques and Applications, 2014

Discriminative Sparse Inverse Covariance Matrix: Application in Brain Functional Network Classification.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Single Image Smoke Detection.
Proceedings of the Computer Vision - ACCV 2014, 2014

Sample-Adaptive Multiple Kernel Learning.
Proceedings of the Twenty-Eighth AAAI Conference on Artificial Intelligence, 2014

2013
On Similarity Preserving Feature Selection.
IEEE Trans. Knowl. Data Eng., 2013

An Adaptive Approach to Learning Optimal Neighborhood Kernels.
IEEE Trans. Cybern., 2013

An Efficient Approach to Integrating Radius Information into Multiple Kernel Learning.
IEEE Trans. Cybern., 2013

Learning with multi-resolution overlapping communities.
Knowl. Inf. Syst., 2013

Sensors for Robotics.
J. Sensors, 2013

An Efficient Dual Approach to Distance Metric Learning
CoRR, 2013

Structure Emergence in the Evolution of Social Networks and its Case Study.
Proceedings of the First International Conference on Information Technology and Quantitative Management, 2013

Improving Graph Matching via Density Maximization.
Proceedings of the IEEE International Conference on Computer Vision, 2013

A Scalable Unsupervised Feature Merging Approach to Efficient Dimensionality Reduction of High-Dimensional Visual Data.
Proceedings of the IEEE International Conference on Computer Vision, 2013

Accelerating the Divisive Information-Theoretic Clustering of Visual Words.
Proceedings of the 2013 International Conference on Digital Image Computing: Techniques and Applications, 2013

Discriminative Brain Effective Connectivity Analysis for Alzheimer's Disease: A Kernel Learning Approach upon Sparse Gaussian Bayesian Network.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

A Fast Approximate AIB Algorithm for Distributional Word Clustering.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2012
Positive Semidefinite Metric Learning Using Boosting-like Algorithms.
J. Mach. Learn. Res., 2012

Incorporation of radius-info can be simple with SimpleMKL.
Neurocomputing, 2012

A Novel Video-Based Smoke Detection Method Using Image Separation.
Proceedings of the 2012 IEEE International Conference on Multimedia and Expo, 2012

What has my classifier learned? Visualizing the classification rules of bag-of-feature model by support region detection.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011
Pipeline Reconstruction from Fisheye Images.
J. WSCG, 2011

Exploring latent class information for image retrieval using the bag-of-feature model.
Proceedings of the 19th International Conference on Multimedia 2011, Scottsdale, AZ, USA, November 28, 2011

The Effect of the Characteristics of the Dataset on the Selection Stability.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011

In defense of soft-assignment coding.
Proceedings of the IEEE International Conference on Computer Vision, 2011

On the Optimality of Sequential Forward Feature Selection Using Class Separability Measure.
Proceedings of the 2011 International Conference on Digital Image Computing: Techniques and Applications (DICTA), 2011

A scalable dual approach to semidefinite metric learning.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010
Feature selection with redundancy-constrained class separability.
IEEE Trans. Neural Networks, 2010

Scalable large-margin Mahalanobis distance metric learning.
IEEE Trans. Neural Networks, 2010

Guided Informative Image Partitioning.
Proceedings of the Structural, 2010

Hippocampal Shape Classification Using Redundancy Constrained Feature Selection.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2010

A multi-resolution approach to learning with overlapping communities.
Proceedings of the First Workshop on Social Media Analytics, 2010

Inter-Domain Routing Validator Based Spoofing Defence System.
Proceedings of the IEEE International Conference on Intelligence and Security Informatics, 2010

Efficient Learning to Label Images.
Proceedings of the 20th International Conference on Pattern Recognition, 2010

Illumination invariant sequential filtering human tracking.
Proceedings of the International Conference on Machine Learning and Cybernetics, 2010

Fast Multi-labelling for Stereo Matching.
Proceedings of the Computer Vision, 2010

Compressive Evaluation in Human Motion Tracking.
Proceedings of the Computer Vision - ACCV 2010, 2010

Gradual Sampling and Mutual Information Maximisation for Markerless Motion Capture.
Proceedings of the Computer Vision - ACCV 2010, 2010

Efficient Structured Support Vector Regression.
Proceedings of the Computer Vision - ACCV 2010, 2010

Efficient Spectral Feature Selection with Minimum Redundancy.
Proceedings of the Twenty-Fourth AAAI Conference on Artificial Intelligence, 2010

2009
Identifying Anatomical Shape Difference by Regularized Discriminative Direction.
IEEE Trans. Medical Imaging, 2009

Positive Semidefinite Metric Learning with Boosting.
Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

Handling Significant Scale Difference for Object Retrieval in a Supermarket.
Proceedings of the DICTA 2009, 2009

A Scalable Algorithm for Learning a Mahalanobis Distance Metric.
Proceedings of the Computer Vision, 2009

2008
Two Criteria for Model Selection in Multiclass Support Vector Machines.
IEEE Trans. Syst. Man Cybern. Part B, 2008

A Kernel-Induced Space Selection Approach to Model Selection in KLDA.
IEEE Trans. Neural Networks, 2008

Feature Selection with Kernel Class Separability.
IEEE Trans. Pattern Anal. Mach. Intell., 2008

AdaBoost with SVM-based component classifiers.
Eng. Appl. Artif. Intell., 2008

PSDBoost: Matrix-Generation Linear Programming for Positive Semidefinite Matrices Learning.
Proceedings of the Advances in Neural Information Processing Systems 21, 2008

Regularized Discriminative Direction for Shape Difference Analysis.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

A Fast Algorithm for Creating a Compact and Discriminative Visual Codebook.
Proceedings of the Computer Vision, 2008

Multi-view Human Motion Capture with an Improved Deformation Skin Model.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

Learning Cascaded Reduced-Set SVMs Using Linear Programming.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2008

2007
Discovering Prediction Model for Environmental Distribution Maps.
Proceedings of the Emerging Technologies in Knowledge Discovery and Data Mining, 2007

Toward A Discriminative Codebook: Codeword Selection across Multi-resolution.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007

Where's the Weet-Bix?
Proceedings of the Computer Vision, 2007

Feature Subset Selection for Multi-class SVM Based Image Classification.
Proceedings of the Computer Vision, 2007

2006
A novel multi-resolution video representation scheme based on kernel PCA.
Vis. Comput., 2006

Video Local Pattern based Image Matching for Visual Mapping.
Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

2005
A criterion for optimizing kernel parameters in KBDA for image retrieval.
IEEE Trans. Syst. Man Cybern. Part B, 2005

Generalized 2D principal component analysis for face image representation and recognition.
Neural Networks, 2005

A novel framework for SVM-based image retrieval on large databases.
Proceedings of the 13th ACM International Conference on Multimedia, 2005

Retrieval with Knowledge-driven Kernel Design: An Approach to Improving SVM-Based CBIR with Relevance Feedback.
Proceedings of the 10th IEEE International Conference on Computer Vision (ICCV 2005), 2005

Auto-Calibration of a Compound-Type Omnidirectional Camera.
Proceedings of the International Conference on Digital Image Computing: Techniques and Applications, 2005

A Framework of 2D Fisher Discriminant Analysis: Application to Face Recognition with Small Number of Training Samples.
Proceedings of the 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2005), 2005

2004
Multi-Level Video Representation with Application to Keyframe Extraction.
Proceedings of the 10th International Multimedia Modeling Conference (MMM 2004), 2004

Face Recognition Based on Discriminative Manifold Learning.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Incorporating Prior Knowledge into SVM for Image Retrieval.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Breast Mass Segmentation based on Information Theory.
Proceedings of the 17th International Conference on Pattern Recognition, 2004

Robust multi-level video representation using mean shift analysis.
Proceedings of the 2004 IEEE International Conference on Multimedia and Expo, 2004

Multi-label SVM active learning for image classification.
Proceedings of the 2004 International Conference on Image Processing, 2004

2003
A Dynamic Sub-vector Weighting Scheme for Image Retrieval with Relevance Feedback.
Pattern Anal. Appl., 2003

Image retrieval with SVM active learning embedding Euclidean search.
Proceedings of the 2003 International Conference on Image Processing, 2003

Bootstrapping SVM Active Learning by Incorporating Unlabelled Images for Image Retrieval.
Proceedings of the 2003 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2003), 2003

2002
A Sub-Vector Weighting Scheme for Image Retrieval with Relevance Feedback.
Int. J. Image Graph., 2002

2000
Bayesian Learning for Image Retrieval Using Multiple Features.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2000


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