Luoqing Li

Weibin Wu

Int. J. Wavelets Multiresolution Inf. Process., 2020

Modal regression based greedy algorithm for robust sparse signal recovery, clustering and classification.

[BibT_eX]

[DOI]

Neurocomputing, 2020

2019

Maximum Likelihood Estimation-Based Joint Sparse Representation for the Classification of Hyperspectral Remote Sensing Images.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2019

Cauchy greedy algorithm for robust sparse recovery and multiclass classification.

[BibT_eX]

[DOI]

Signal Process., 2019

Kernel Joint Sparse Representation Based on Self-Paced Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Remote. Sens., 2019

Block sparse representation for pattern classification: Theory, extensions and applications.

[BibT_eX]

[DOI]

Pattern Recognit., 2019

Atomic Representation-Based Classification: Theory, Algorithm, and Applications.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2019

Filter banks from the Hadamard product of the Fibonacci sequence and a geometric sequence.

[BibT_eX]

[DOI]

Fuxian Chen

Int. J. Wavelets Multiresolution Inf. Process., 2019

2018

Learning With Coefficient-Based Regularized Regression on Markov Resampling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2018

Erratum: "Approximation by Riesz Means on the Rotation Group SO(3)".

[BibT_eX]

[DOI]

Zhuyuan Yang

Int. J. Wavelets Multiresolution Inf. Process., 2018

Cauchy Matching Pursuit for Robust Sparse Representation and Classification.

[BibT_eX]

[DOI]

Proceedings of the 24th International Conference on Pattern Recognition, 2018

2017

Correntropy Matching Pursuit With Application to Robust Digit and Face Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2017

Ideal Regularized Composite Kernel for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Approximation by Riesz means on the rotation group SO(3).

[BibT_eX]

[DOI]

Zhuyuan Yang

Int. J. Wavelets Multiresolution Inf. Process., 2017

Spectral-spatial destriping of hyperspectral image via correntropy based sparse representation and unidirectional Huber-Markov random fields.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2017

Modal Regression based Atomic Representation for Robust Face Recognition.

[BibT_eX]

[DOI]

CoRR, 2017

2016

Regularized set-to-set distance metric learning for hyperspectral image classification.

[BibT_eX]

[DOI]

Lefei Zhang

Pattern Recognit. Lett., 2016

Face recognition via collaborative representation based multiple one-dimensional embedding.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2016

1D embedding multi-category classification methods.

[BibT_eX]

[DOI]

Chuanwu Yang

Qiwei Xie

Int. J. Wavelets Multiresolution Inf. Process., 2016

Information-theoretic atomic representation for robust pattern classification.

[BibT_eX]

[DOI]

Patrick Shen-Pei Wang

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

2015

Minimum Error Entropy Based Sparse Representation for Robust Subspace Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2015

The Generalization Ability of Online SVM Classification Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2015

Robust Face Recognition via Minimum Error Entropy-Based Atomic Representation.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2015

The Generalization Ability of SVM Classification Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Structural Atomic Representation for Classification.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2015

Comments and Correction on "U-Processes and Preference Learning" (Neural Computation Vol. 26, pp. 2896-2924, 2014).

[BibT_eX]

[DOI]

Neural Comput., 2015

Uncertainty principle for multivector-valued functions.

[BibT_eX]

[DOI]

Yingxiong Fu

Int. J. Wavelets Multiresolution Inf. Process., 2015

The graph based semi-supervised algorithm with ℓ1-regularizer.

[BibT_eX]

[DOI]

Ling Zuo

Chen Chen

Neurocomputing, 2015

2014

Manifold-Based Sparse Representation for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Haoliang Yuan

IEEE Trans. Geosci. Remote. Sens., 2014

The Generalization Performance of Regularized Regression Algorithms Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Hyperspectral Image Classification Using Functional Data Analysis.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2014

Amplitudes of mono-component signals and the generalized sampling functions.

[BibT_eX]

[DOI]

Yi Wang

Signal Process., 2014

Hierarchical kernel-based rotation and scale invariant similarity.

[BibT_eX]

[DOI]

Pattern Recognit., 2014

Generalization performance of Gaussian kernels SVMC based on Markov sampling.

[BibT_eX]

[DOI]

Neural Networks, 2014

Extreme learning machine for ranking: Generalization analysis and applications.

[BibT_eX]

[DOI]

Neural Networks, 2014

U-Processes and Preference Learning.

[BibT_eX]

[DOI]

Chuanbao Ren

Neural Comput., 2014

Statistical analysis of the moving least-squares method with unbounded sampling.

[BibT_eX]

[DOI]

Fangchao He

Inf. Sci., 2014

Learning performance of coefficient-based regularized ranking.

[BibT_eX]

[DOI]

Zhibin Pan

Neurocomputing, 2014

Robust weighted coarse-to-fine sparse tracking.

[BibT_eX]

[DOI]

Proceedings of the Proceedings IEEE International Conference on Security, 2014

2013

Generalization Performance of Fisher Linear Discriminant Based on Markov Sampling.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks Learn. Syst., 2013

Hierarchical Feature Extraction With Local Neural Response for Image Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Error Analysis of Stochastic Gradient Descent Ranking.

[BibT_eX]

[DOI]

IEEE Trans. Cybern., 2013

Convergence rate of the semi-supervised greedy algorithm.

[BibT_eX]

[DOI]

Neural Networks, 2013

Error Analysis of Coefficient-Based Regularized Algorithm for Density-Level Detection.

[BibT_eX]

[DOI]

Neural Comput., 2013

Wave equation relating to the pre-Laguerre system.

[BibT_eX]

[DOI]

Wenjun Yuan

Appl. Math. Lett., 2013

2012

Error Analysis for Matrix Elastic-Net Regularization Algorithms.

[BibT_eX]

[DOI]

Na Chen

IEEE Trans. Neural Networks Learn. Syst., 2012

Elastic-Net Regularization for Low-Rank Matrix Recovery.

[BibT_eX]

[DOI]

Na Chen

Int. J. Wavelets Multiresolution Inf. Process., 2012

Least Square Regression with coefficient Regularization by Gradient Descent.

[BibT_eX]

[DOI]

Juan Huang

Int. J. Wavelets Multiresolution Inf. Process., 2012

Generalized Paley-Wiener Theorems.

[BibT_eX]

[DOI]

Guangbin Ren

Int. J. Wavelets Multiresolution Inf. Process., 2012

Similarity learning for object recognition based on derived kernel.

[BibT_eX]

[DOI]

Neurocomputing, 2012

Amplitudes of mono-components and representation by generalized sampling functions

[BibT_eX]

[DOI]

Yi Wang

CoRR, 2012

Object categorization based on hierarchical learning.

[BibT_eX]

[DOI]

Proceedings of the 21st International Conference on Pattern Recognition, 2012

2011

Local semi-supervised regression for single-image super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

Local learning-based image super-resolution.

[BibT_eX]

[DOI]

Proceedings of the IEEE 13th International Workshop on Multimedia Signal Processing (MMSP 2011), 2011

Image Denoising via Improved Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2011

Image denoising via weight regression.

[BibT_eX]

[DOI]

Proceedings of the First Asian Conference on Pattern Recognition, 2011

Local adaptive dictionary based image denoising.

[BibT_eX]

[DOI]

Proceedings of the First Asian Conference on Pattern Recognition, 2011

Single-image super-resolution based on semi-supervised learning.

[BibT_eX]

[DOI]

Proceedings of the First Asian Conference on Pattern Recognition, 2011

2010

Semi-supervised learning based on high density region estimation.

[BibT_eX]

[DOI]

Neural Networks, 2010

Discrete-time analytic signals and Bedrosian product theorems.

[BibT_eX]

[DOI]

Tao Qian

Digit. Signal Process., 2010

2009

Semisupervised Multicategory Classification With Imperfect Model.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

The generalization performance of ERM algorithm with strongly mixing observations.

[BibT_eX]

[DOI]

Zongben Xu

Mach. Learn., 2009

Error bounds of multi-graph regularized semi-supervised classification.

[BibT_eX]

[DOI]

Inf. Sci., 2009

Tensor Locality Sensitive Discriminant Analysis and its Complexity.

[BibT_eX]

[DOI]

Yantao Wei

Int. J. Wavelets Multiresolution Inf. Process., 2009

Regularized Least Square Regression with Spherical Polynomial Kernels.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2009

Analysis of Classification with a Reject Option.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2009

2008

Dim target detection and tracking based on empirical mode decomposition.

[BibT_eX]

[DOI]

Shaohua Xu

Signal Process. Image Commun., 2008

2007

Mono-Component Decomposition of Signals Based on Blaschke Basis.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2007

The performance bounds of learning machines based on exponentially strongly mixing sequences.

[BibT_eX]

[DOI]

Comput. Math. Appl., 2007

Analysis of Regularized Least Square Algorithms with Beta-Mixing Input Sequences.

[BibT_eX]

[DOI]

Proceedings of the Third International Conference on Natural Computation, 2007

2006

Wavelet-Hough Transform with Applications in Edge and Target Detections.

[BibT_eX]

[DOI]

Int. J. Wavelets Multiresolution Inf. Process., 2006

The Generalization Performance of Learning Machine with NA Dependent Sequence.

[BibT_eX]

[DOI]

Jie Xu

Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006

Support Vector Machines with Beta-Mixing Input Sequences.

[BibT_eX]

[DOI]

Chenggao Wan

Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

The Generalization Performance of Learning Machine Based on Phi-mixing Sequence.

[BibT_eX]

[DOI]

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

The Study of Leave-One-Out Error-Based Classification Learning Algorithm for Generalization Performance.

[BibT_eX]

[DOI]

Jie Xu

Proceedings of the Advances in Natural Computation, Second International Conference, 2006

2005

Stability of Frames Generated by Nonlinear Fourier atoms.

[BibT_eX]

[DOI]

Tao Qian

Int. J. Wavelets Multiresolution Inf. Process., 2005

The Bounds on the Rate of Uniform Convergence for Learning Machine.

[BibT_eX]

[DOI]