Yi Wu

According to our database, Yi Wu authored at least 26 papers between 2009 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2016

Orthogonal discriminant analysis revisited.

Yong Wang, Jian-Bin Xie, Yi Wu

Pattern Recognit. Lett., 2016

2014

Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection.

Chenping Hou, Feiping Nie, Xuelong Li, Dongyun Yi, Yi Wu

IEEE Trans. Cybern., 2014

Multiple rank multi-linear SVM for matrix data classification.

Chenping Hou, Feiping Nie, Changshui Zhang, Dongyun Yi, Yi Wu

Pattern Recognit., 2014

Two-dimensional complete neighborhood preserving embedding.

Yong Wang, Jian-Bin Xie, Yi Wu

Neural Comput. Appl., 2014

2013

Efficient Image Classification via Multiple Rank Regression.

Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu

IEEE Trans. Image Process., 2013

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning.

Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu

Neural Comput. Appl., 2013

Learning a subspace for clustering via pattern shrinking.

Chenping Hou, Feiping Nie, Yuanyuan Jiao, Changshui Zhang, Yi Wu

Inf. Process. Manag., 2013

Robust non-negative matrix factorization via joint sparse and graph regularization.

Shizhun Yang, Chenping Hou, Changshui Zhang, Yi Wu, Shifeng Weng

Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012

A general framework for transfer sparse subspace learning.

Shizhun Yang, Ming Lin, Chenping Hou, Changshui Zhang, Yi Wu

Neural Comput. Appl., 2012

Unsupervised maximum margin feature selection via L 2, 1-norm minimization.

Shizhun Yang, Chenping Hou, Feiping Nie, Yi Wu

Neural Comput. Appl., 2012

Rayleigh projection depth.

Yonggang Hu, Qiang Li, Yong Wang, Yi Wu

Comput. Stat., 2012

2011

Spectral Clustering on Multiple Manifolds.

Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

IEEE Trans. Neural Networks, 2011

Semisupervised Learning Using Negative Labels.

Chenping Hou, Feiping Nie, Fei Wang, Changshui Zhang, Yi Wu

IEEE Trans. Neural Networks, 2011

Semi-supervised Dimensionality Reduction via Harmonic Functions.

Chenping Hou, Feiping Nie, Yi Wu

Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Local and Structural Consistency for Multi-Manifold Clustering.

Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

Proceedings of the IJCAI 2011, 2011

Feature Selection via Joint Embedding Learning and Sparse Regression.

Chenping Hou, Feiping Nie, Dongyun Yi, Yi Wu

Proceedings of the IJCAI 2011, 2011

GM-transfer: Graph-based model for transfer learning.

Shizhun Yang, Chenping Hou, Yi Wu

Proceedings of the First Asian Conference on Pattern Recognition, 2011

Localized K-Flats.

Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010

Face recognition using Intrinsicfaces.

Yong Wang, Yi Wu

Pattern Recognit., 2010

Complete neighborhood preserving embedding for face recognition.

Yong Wang, Yi Wu

Pattern Recognit., 2010

Multiple view semi-supervised dimensionality reduction.

Chenping Hou, Changshui Zhang, Yi Wu, Feiping Nie

Pattern Recognit., 2010

Multi-manifold Clustering.

Yong Wang, Yuan Jiang, Yi Wu, Zhi-Hua Zhou

Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009

Learning an Orthogonal and Smooth Subspace for Image Classification.

Chenping Hou, Feiping Nie, Changshui Zhang, Yi Wu

IEEE Signal Process. Lett., 2009

Stable local dimensionality reduction approaches.

Chenping Hou, Changshui Zhang, Yi Wu, Yuanyuan Jiao

Pattern Recognit., 2009

Local linear transformation embedding.

Chenping Hou, Jing Wang, Yi Wu, Dongyun Yi

Neurocomputing, 2009

Orthogonal Centroid Locally Linear Embedding for Classification.

Yong Wang, Yonggang Hu, Yi Wu

Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009