Ming-Bo Zhao

Publication Activity (10 Years)

Years Active: 2009-2017
Publications (10 Years): 20

Top Topics

Dimensionality Reduction

Subspace Learning

Label Propagation

Discriminant Analysis

Top Venues

IEEE Signal Process. Lett.

Pattern Recognit.

Publications

Zhao Zhang, Yan Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation. Pattern Recognit. 61 (2017)
Zhao Zhang, Fanzhang Li, Ming-Bo Zhao, Li Zhang, Shuicheng Yan
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification. IEEE Trans. Image Process. 25 (6) (2016)
Zhou Wu, Ming-Bo Zhao
Leap on large-scale nonseparable problems. CEC (2016)
Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow
Locality Alignment Discriminant Analysis for Visualizing Regional English. Neural Process. Lett. 43 (1) (2016)
Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Xiaohang Jin
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification. IEEE Trans. Ind. Informatics 12 (1) (2016)
Wenlong Cheng, Tommy W. S. Chow, Ming-Bo Zhao
Sparse Subspace Clustering for Image Clustering. Neurocomputing 205 (2016)
Lei Jia, Zhao Zhang, Lei Wang, Weiming Jiang, Ming-Bo Zhao
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification. ICDM (2016)
Ming-Bo Zhao, Zhao Zhang, Wenlong Cheng, Zhao Zhang
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit. IJCNN (2016)
Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang, Fanzhang Li
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images. Neurocomputing 149 (2015)
Zhao Zhang, Li Zhang, Ming-Bo Zhao, Weiming Jiang, Yuchen Liang, Fanzhang Li
Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation. ICMR (2015)
Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction. ACM Trans. Intell. Syst. Technol. 6 (1) (2015)
Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li
Bilinear low-rank coding framework and extension for robust image recovery and feature representation. Knowl. Based Syst. 86 (2015)
Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood. IEEE Trans. Knowl. Data Eng. 27 (9) (2015)
Ming-Bo Zhao, Choujun Zhan, Zhou Wu, Peng Tang
Semi-Supervised Image Classification Based on Local and Global Regression. IEEE Signal Process. Lett. 22 (10) (2015)
Zhao Zhang, Weiming Jiang, Fanzhang Li, Li Zhang, Ming-Bo Zhao, Lei Jia
Projective Label Propagation by Label Embedding. CAIP (2) (2015)
Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang, Bing Li
Automatic image annotation via compact graph based semi-supervised learning. Knowl. Based Syst. 76 (2015)
Weiming Jiang, Zhao Zhang, Fanzhang Li, Li Zhang, Ming-Bo Zhao
Semi-supervised label consistent dictionary learning for machine fault classification. INDIN (2015)
Ming-Bo Zhao, Bing Li, Zhou Wu, Choujun Zhan
Image classification via least square semi-supervised discriminant analysis with flexible kernel regression for out-of-sample extension. Neurocomputing 153 (2015)
Ming-Bo Zhao, Tommy W. S. Chow, Zhou Wu, Zhao Zhang, Bing Li
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction. Inf. Sci. 324 (2015)
Yuchen Liang, Zhao Zhang, Weiming Jiang, Ming-Bo Zhao, Fanzhang Li
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels. IEEE Signal Process. Lett. 22 (12) (2015)
Ming-Bo Zhao, Rosa H. M. Chan, Tommy W. S. Chow, Peng Tang
Compact Graph based Semi-Supervised Learning for Medical Diagnosis in Alzheimer's Disease. IEEE Signal Process. Lett. 21 (10) (2014)
Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning. IJCNN (2014)
Xiaohang Jin, Fang Yuan, Tommy W. S. Chow, Ming-Bo Zhao
Weighted local and global regressive mapping: A new manifold learning method for machine fault classification. Eng. Appl. Artif. Intell. 30 (2014)
Xiaohang Jin, Ming-Bo Zhao, Tommy W. S. Chow, Michael G. Pecht
Motor Bearing Fault Diagnosis Using Trace Ratio Linear Discriminant Analysis. IEEE Trans. Ind. Electron. 61 (5) (2014)
Peng Tang, Ming-Bo Zhao, Tommy W. S. Chow
Text style analysis using trace ratio criterion patch alignment embedding. Neurocomputing 136 (2014)
Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning. Neural Networks 53 (2014)
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li
Soft label based Linear Discriminant Analysis for image recognition and retrieval. Comput. Vis. Image Underst. 121 (2014)
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Bing Li
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction. Neural Networks 55 (2014)
Zhao Zhang, Fanzhang Li, Ming-Bo Zhao
Transformed Neighborhood Propagation. ICPR (2014)
Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao, Fanzhang Li
Robust bilinear matrix recovery by Tensor Low-Rank Representation. IJCNN (2014)
Ming-Bo Zhao, Xiaohang Jin, Zhao Zhang, Bing Li
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification. Expert Syst. Appl. 41 (7) (2014)
Zhao Zhang, Cheng-Lin Liu, Ming-Bo Zhao
Handwriting representation and recognition through a sparse projection and low-rank recovery framework. IJCNN (2013)
Ming-Bo Zhao, Rosa H. M. Chan, Peng Tang, Tommy W. S. Chow, Savio W. H. Wong
Trace Ratio Linear Discriminant Analysis for Medical Diagnosis: A Case Study of Dementia. IEEE Signal Process. Lett. 20 (5) (2013)
Ming-Bo Zhao, Zhao Zhang, Zhao Zhang
Learning from local and global discriminative information for semi-supervised dimensionality reduction. IJCNN (2013)
Zhao Zhang, Shuicheng Yan, Ming-Bo Zhao
Robust image representation and decomposition by Laplacian regularized latent low-rank representation. IJCNN (2013)
Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization. IEEE Trans. Knowl. Data Eng. 25 (5) (2013)
Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification. IEEE Trans. Knowl. Data Eng. 25 (10) (2013)
Zhao Zhang, Ming-Bo Zhao, Bing Li, Peng Tang
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition. IJCNN (2013)
Ming-Bo Zhao, Zhao Zhang, Zhao Zhang
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction. IJCNN (2013)
Zhao Zhang, Tommy W. S. Chow, Ming-Bo Zhao
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction. IEEE Trans. Cybern. 43 (1) (2013)
Ming-Bo Zhao, Tommy W. S. Chow, Zhao Zhang
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction. Soft Comput. 16 (8) (2012)
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow
On the Theoretical and Computational Analysis between SDA and Lap-LDA. ICTAI (2012)
Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction. Pattern Recognit. 45 (12) (2012)
Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition. Neural Networks 36 (2012)
Zhao Zhang, Ming-Bo Zhao, Tommy W. S. Chow
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction. IJCNN (2012)
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction. Pattern Recognit. 45 (4) (2012)
Zhou Wu, Lu Xu, Tommy W. S. Chow, Ming-Bo Zhao
Local cooperation delivers global optimization. IEEE Congress on Evolutionary Computation (2012)
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow, Zhou Wu
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA. IJCNN (2012)
Haijun Zhang, Q. M. Jonathan Wu, Tommy W. S. Chow, Ming-Bo Zhao
A two-dimensional Neighborhood Preserving Projection for appearance-based face recognition. Pattern Recognit. 45 (5) (2012)
Ming-Bo Zhao, Zhao Zhang, Tommy W. S. Chow
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction. IJCNN (2011)
Zhaohui Gan, Ming-Bo Zhao, Tommy W. S. Chow
Induction machine fault detection using clone selection programming. Expert Syst. Appl. 36 (4) (2009)