Yi Wu

Publication Activity (10 Years)

Years Active: 2009-2016
Publications (10 Years): 1

Top Topics

Negative Matrix Factorization

Subspace Learning

Unsupervised Feature Selection

Discriminant Analysis

Top Venues

Neural Comput. Appl.

IEEE Trans. Cybern.

Pattern Recognit.

Inf. Process. Manag.

Publications

Yong Wang, Jian-Bin Xie, Yi Wu
Orthogonal discriminant analysis revisited. Pattern Recognit. Lett. 84 (2016)
Yong Wang, Jian-Bin Xie, Yi Wu
Two-dimensional complete neighborhood preserving embedding. Neural Comput. Appl. 24 (7-8) (2014)
Chenping Hou, Feiping Nie, Xuelong Li, Dongyun Yi, Yi Wu
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection. IEEE Trans. Cybern. 44 (6) (2014)
Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu
Multiple rank multi-linear SVM for matrix data classification. Pattern Recognit. 47 (1) (2014)
Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu
Learning a subspace for clustering via pattern shrinking. Inf. Process. Manag. 49 (4) (2013)
Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu
Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning. Neural Comput. Appl. 23 (2) (2013)
Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng
Robust non-negative matrix factorization via joint sparse and graph regularization. IJCNN (2013)
Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
Efficient Image Classification via Multiple Rank Regression. IEEE Trans. Image Process. 22 (1) (2013)
Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu
A general framework for transfer sparse subspace learning. Neural Comput. Appl. 21 (7) (2012)
Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu
Unsupervised maximum margin feature selection via L 2, 1-norm minimization. Neural Comput. Appl. 21 (7) (2012)
Yonggang Hu, Qiang Li, Yong Wang, Yi Wu
Rayleigh projection depth. Comput. Stat. 27 (3) (2012)
Shizhun Yang, Chenping Hou, Yi Wu
GM-transfer: Graph-based model for transfer learning. ACPR (2011)
Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu
Semisupervised Learning Using Negative Labels. IEEE Trans. Neural Networks 22 (3) (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Local and Structural Consistency for Multi-Manifold Clustering. IJCAI (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Localized K-Flats. AAAI (2011)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Spectral Clustering on Multiple Manifolds. IEEE Trans. Neural Networks 22 (7) (2011)
Chenping Hou, Feiping Nie, Yi Wu
Semi-supervised Dimensionality Reduction via Harmonic Functions. MDAI (2011)
Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu
Feature Selection via Joint Embedding Learning and Sparse Regression. IJCAI (2011)
Yong Wang, Yi Wu
Complete neighborhood preserving embedding for face recognition. Pattern Recognit. 43 (3) (2010)
Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie
Multiple view semi-supervised dimensionality reduction. Pattern Recognit. 43 (3) (2010)
Yong Wang, Yi Wu
Face recognition using Intrinsicfaces. Pattern Recognit. 43 (10) (2010)
Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou
Multi-manifold Clustering. PRICAI (2010)
Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi
Local linear transformation embedding. Neurocomputing 72 (10-12) (2009)
Yong Wang, Yonggang Hu, Yi Wu
Orthogonal Centroid Locally Linear Embedding for Classification. ADMA (2009)
Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu
Learning an Orthogonal and Smooth Subspace for Image Classification. IEEE Signal Process. Lett. 16 (4) (2009)
Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao
Stable local dimensionality reduction approaches. Pattern Recognit. 42 (9) (2009)