Zhao Zhang
According to our database1,
Zhao Zhang
authored at least 92 papers
between 2011 and 2019.
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Bibliography
2019
Kernel-Induced Label Propagation by Mapping for Semi-Supervised Classification.
IEEE Trans. Big Data, 2019
Multi-view clustering via spectral embedding fusion.
Soft Comput., 2019
Incremental updating knowledge in neighborhood multigranulation rough sets under dynamic granular structures.
Knowl.-Based Syst., 2019
2018
Robust Adaptive Embedded Label Propagation With Weight Learning for Inductive Classification.
IEEE Trans. Neural Netw. Learning Syst., 2018
Jointly Learning Structured Analysis Discriminative Dictionary and Analysis Multiclass Classifier.
IEEE Trans. Neural Netw. Learning Syst., 2018
Semi-supervised local multi-manifold Isomap by linear embedding for feature extraction.
Pattern Recognition, 2018
Feature weight estimation based on dynamic representation and neighbor sparse reconstruction.
Pattern Recognition, 2018
Sparse Auto-encoder with Smoothed l1 Regularization.
Neural Processing Letters, 2018
Adaptive non-negative projective semi-supervised learning for inductive classification.
Neural Networks, 2018
Lp- and Ls-Norm Distance Based Robust Linear Discriminant Analysis.
Neural Networks, 2018
Lie group impression for deep learning.
Inf. Process. Lett., 2018
Deep learning algorithm with visual impression.
Inf. Process. Lett., 2018
Trace Ratio Criterion based Discriminative Feature Selection via l2, p-norm regularization for supervised learning.
Neurocomputing, 2018
Applying 1-norm SVM with squared loss to gene selection for cancer classification.
Appl. Intell., 2018
Nonlinear feature selection using Gaussian kernel SVM-RFE for fault diagnosis.
Appl. Intell., 2018
Feature clustering based support vector machine recursive feature elimination for gene selection.
Appl. Intell., 2018
Similarity-Adaptive Latent Low-Rank Representation for Robust Data Representation.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Anchored Projection Based Capped l_2, 1 -Norm Regression for Super-Resolution.
Proceedings of the PRICAI 2018: Trends in Artificial Intelligence, 2018
Robust Neighborhood Preserving Low-Rank Sparse CNN Features for Classification.
Proceedings of the Advances in Multimedia Information Processing - PCM 2018, 2018
Robust Adaptive Label Propagation by Double Matrix Decomposition.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Rotational Invariant Discriminant Subspace Learning For Image Classification.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
Robust Adaptive Low-Rank and Sparse Embedding for Feature Representation.
Proceedings of the 24th International Conference on Pattern Recognition, 2018
2017
Robust Neighborhood Preserving Projection by Nuclear/L2, 1-Norm Regularization for Image Feature Extraction.
IEEE Trans. Image Processing, 2017
Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation-Based Robust Classification.
IEEE Trans. Industrial Informatics, 2017
Discriminative sparse flexible manifold embedding with novel graph for robust visual representation and label propagation.
Pattern Recognition, 2017
Decision pyramid classifier for face recognition under complex variations using single sample per person.
Pattern Recognition, 2017
Spectral clustering based on similarity and dissimilarity criterion.
Pattern Anal. Appl., 2017
Robust Alternating Low-Rank Representation by joint Lp- and L2, p-norm minimization.
Neural Networks, 2017
Discriminative clustering on manifold for adaptive transductive classification.
Neural Networks, 2017
Projective label propagation by label embedding: A deep label prediction framework for representation and classification.
Knowl.-Based Syst., 2017
Robust image recognition by L1-norm twin-projection support vector machine.
Neurocomputing, 2017
Graph based semi-supervised classification via capped l2, 1-norm regularized dictionary learning.
Proceedings of the 15th IEEE International Conference on Industrial Informatics, 2017
Subspace Clustering via Adaptive Low-Rank Model.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Iterative Local Hyperlinear Learning Based Relief for Feature Weight Estimation.
Proceedings of the Neural Information Processing - 24th International Conference, 2017
Robust Projective Dictionary Learning by Joint Label Embedding and Classification.
Proceedings of the 2017 IEEE International Conference on Data Mining Workshops, 2017
2016
Sparse Codes Auto-Extractor for Classification: A Joint Embedding and Dictionary Learning Framework for Representation.
IEEE Trans. Signal Processing, 2016
Can the Virtual Labels Obtained by Traditional LP Approaches Be Well Encoded in WLR?
IEEE Trans. Neural Netw. Learning Syst., 2016
Joint Low-Rank and Sparse Principal Feature Coding for Enhanced Robust Representation and Visual Classification.
IEEE Trans. Image Processing, 2016
Joint Label Consistent Dictionary Learning and Adaptive Label Prediction for Semisupervised Machine Fault Classification.
IEEE Trans. Industrial Informatics, 2016
Discriminative Sparse Coding by Nuclear Norm-Driven Semi-Supervised Dictionary Learning.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016
Transductive Classification by Robust Linear Neighborhood Propagation.
Proceedings of the Advances in Multimedia Information Processing - PCM 2016, 2016
Latent label consistent K-SVD for joint machine faults representation and classification.
Proceedings of the 14th IEEE International Conference on Industrial Informatics, 2016
Joint lp- and l2, p-norm minimization for subspace clustering with outlier pursuit.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Joint nuclear-norm nonlinear Manifold Learning and robust Classification by linear embedding.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Robust L1-norm matrixed locality preserving projection for discriminative subspace learning.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016
Sparse Auto-encoder with Smoothed l_1 Regularization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Hidden Space Neighbourhood Component Analysis for Cancer Classification.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Robust Soft Semi-supervised Discriminant Projection for Feature Learning.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Two-Dimensional Soft Linear Discriminant Projection for Robust Image Feature Extraction and Recognition.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Semi-supervised Classification by Nuclear-Norm Based Transductive Label Propagation.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Nuclear-norm regularized neighborhood preserving projection.
Proceedings of the 2016 IEEE International Conference on Image Processing, 2016
Adaptive Neighborhood Propagation by Joint L2, 1-Norm Regularized Sparse Coding for Representation and Classification.
Proceedings of the IEEE 16th International Conference on Data Mining, 2016
2015
Graph Based Constrained Semi-Supervised Learning Framework via Label Propagation over Adaptive Neighborhood.
IEEE Trans. Knowl. Data Eng., 2015
A Sparse Projection and Low-Rank Recovery Framework for Handwriting Representation and Salient Stroke Feature Extraction.
ACM TIST, 2015
Bilinear Embedding Label Propagation: Towards Scalable Prediction of Image Labels.
IEEE Signal Process. Lett., 2015
Automatic image annotation via compact graph based semi-supervised learning.
Knowl.-Based Syst., 2015
Bilinear low-rank coding framework and extension for robust image recovery and feature representation.
Knowl.-Based Syst., 2015
Learning from normalized local and global discriminative information for semi-supervised regression and dimensionality reduction.
Inf. Sci., 2015
Simple yet effective color principal and discriminant feature extraction for representing and recognizing color images.
Neurocomputing, 2015
Semi-Supervised Image Classification by Nonnegative Sparse Neighborhood Propagation.
Proceedings of the 5th ACM on International Conference on Multimedia Retrieval, 2015
Semi-supervised label consistent dictionary learning for machine fault classification.
Proceedings of the 13th IEEE International Conference on Industrial Informatics, 2015
A fast approximation algorithm for 1-norm SVM with squared loss.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
L1-Norm Driven Semi-supervised Local Discriminant Projection for Robust Image Representation.
Proceedings of the 27th IEEE International Conference on Tools with Artificial Intelligence, 2015
Projective Label Propagation by Label Embedding.
Proceedings of the Computer Analysis of Images and Patterns, 2015
2014
A general soft label based Linear Discriminant Analysis for semi-supervised dimensionality reduction.
Neural Networks, 2014
Similarity preserving low-rank representation for enhanced data representation and effective subspace learning.
Neural Networks, 2014
Fault diagnosis of rolling element bearings via discriminative subspace learning: Visualization and classification.
Expert Syst. Appl., 2014
Soft label based Linear Discriminant Analysis for image recognition and retrieval.
Computer Vision and Image Understanding, 2014
Label propagation and soft-similarity measure for graph based Constrained Semi-Supervised Learning.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Robust bilinear matrix recovery by Tensor Low-Rank Representation.
Proceedings of the 2014 International Joint Conference on Neural Networks, 2014
Transformed Neighborhood Propagation.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014
2013
Binary- and Multi-class Group Sparse Canonical Correlation Analysis for Feature Extraction and Classification.
IEEE Trans. Knowl. Data Eng., 2013
Trace Ratio Optimization-Based Semi-Supervised Nonlinear Dimensionality Reduction for Marginal Manifold Visualization.
IEEE Trans. Knowl. Data Eng., 2013
Pairwise Sparsity Preserving Embedding for Unsupervised Subspace Learning and Classification.
IEEE Trans. Image Processing, 2013
M-Isomap: Orthogonal Constrained Marginal Isomap for Nonlinear Dimensionality Reduction.
IEEE Trans. Cybernetics, 2013
Semisupervised Multimodal Dimensionality Reduction.
Computational Intelligence, 2013
A soft label based linear discriminant analysis for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Learning from local and global discriminative information for semi-supervised dimensionality reduction.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
ColorPCA: Color principal feature extraction technique for color image reconstruction and recognition.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Robust image representation and decomposition by Laplacian regularized latent low-rank representation.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
Handwriting representation and recognition through a sparse projection and low-rank recovery framework.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013
2012
Random walk-based fuzzy linear discriminant analysis for dimensionality reduction.
Soft Comput., 2012
Trace ratio criterion based generalized discriminative learning for semi-supervised dimensionality reduction.
Pattern Recognition, 2012
Constrained large Margin Local Projection algorithms and extensions for multimodal dimensionality reduction.
Pattern Recognition, 2012
Marginal semi-supervised sub-manifold projections with informative constraints for dimensionality reduction and recognition.
Neural Networks, 2012
Robust linearly optimized discriminant analysis.
Neurocomputing, 2012
Maximum Margin Multisurface Support Tensor Machines with application to image classification and segmentation.
Expert Syst. Appl., 2012
On the theoretical and computational analysis between Trace Ratio LDA and null-space LDA.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
Extracting the informative constraints for semi-supervised marginal projections in multimodal dimensionality reduction.
Proceedings of the 2012 International Joint Conference on Neural Networks (IJCNN), 2012
On the Theoretical and Computational Analysis between SDA and Lap-LDA.
Proceedings of the IEEE 24th International Conference on Tools with Artificial Intelligence, 2012
2011
Tensor Locally Linear Discriminative Analysis.
IEEE Signal Process. Lett., 2011
ITR-Score algorithm: An efficient Trace ratio criterion based algorithm for supervised dimensionality reduction.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011