Combining Non-negative Matrix Factorization and Sparse Coding for Functional Brain Overlapping Community Detection.
Cogn. Comput., 2018
Parcellating Whole Brain for Individuals by Simple Linear Iterative Clustering.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Overlapping Community Structure Detection of Brain Functional Network Using Non-negative Matrix Factorization.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016
Sparse-Network Based Framework for Detecting the Overlapping Community Structure of Brain Functional Network.
Proceedings of the Advances in Brain Inspired Cognitive Systems, 2016
Fisher Discriminant Analysis With L1-Norm.
IEEE Trans. Cybern., 2014
On EM Estimation for Mixture of Multivariate <i>t</i>-Distributions.
Neural Process. Lett., 2009
Comment on "Facial expression recognition based on two-dimensional discriminant locality preserving projections" [Neurocomputing 71 (2008) 1730-1734].
Neurocomputing, 2009
Locality-Preserved Maximum Information Projection.
IEEE Trans. Neural Networks, 2008
A comment on "Laplacian linear discriminant analysis".
Pattern Recognit., 2008
Comment on: "Two-dimensional locality preserving projections (2DLPP) with its application to palmprint recognition".
Pattern Recognit., 2008
Probabilistic two-dimensional principal component analysis and its mixture model for face recognition.
Neural Comput. Appl., 2008
An efficient algorithm for generalized discriminant analysis using incomplete Cholesky decomposition.
Pattern Recognit. Lett., 2007
An unified EM algorithm for PCA and KPCA.
Neurocomputing, 2007
Image Recognition Using Weighted Two-Dimensional Maximum Margin Criterion.
Proceedings of the Third International Conference on Natural Computation, 2007
Local and Weighted Maximum Margin Discriminant Analysis.
Proceedings of the 2007 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), 2007
Face Recognition Using Probabilistic Two-Dimensional Principal Component Analysis and Its Mixture Model.
Proceedings of the Advances in Natural Computation, Second International Conference, 2006
Kernel Principal Component Analysis for Large Scale Data Set.
Proceedings of the Intelligent Computing, 2006