Lei Wang

According to our database1, Lei Wang authored at least 119 papers between 2000 and 2019.

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

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

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

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

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

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

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

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

Infomax principle based pooling of deep convolutional activations for image retrieval.
Proceedings of the 2017 IEEE International Conference on Multimedia and Expo, 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 Netw. Learning Syst., 2016

Learning Discriminative Bayesian Networks from High-Dimensional Continuous Neuroimaging Data.
IEEE Trans. Pattern Anal. Mach. Intell., 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 k-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 Processing, 2015

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

An efficient radius-incorporated MKL algorithm for Alzheimer's disease prediction.
Pattern Recognition, 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
Global and Local Structure Preservation for Feature Selection.
IEEE Trans. Neural Netw. Learning Syst., 2014

HEp-2 cell image classification with multiple linear descriptors.
Pattern Recognition, 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.
International Journal of Computer Vision, 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. Cybernetics, 2013

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

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

Sensors for Robotics.
J. Sensors, 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.
Journal of Machine Learning Research, 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.
Journal of 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

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

A generalized probabilistic framework for compact codebook creation.
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 3rd Workshop on Social Network Mining and Analysis, 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. Med. 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. Systems, Man, and Cybernetics, 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. of AI, 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.
The Visual Computer, 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. Systems, Man, and Cybernetics, 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 Graphics, 2002

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


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