Yi Wu

Affiliations:
  • National University of Defense Technology, Changsha


According to our database1, Yi Wu authored at least 26 papers between 2009 and 2016.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2016
Orthogonal discriminant analysis revisited.
Pattern Recognit. Lett., 2016

2014
Joint Embedding Learning and Sparse Regression: A Framework for Unsupervised Feature Selection.
IEEE Trans. Cybern., 2014

Multiple rank multi-linear SVM for matrix data classification.
Pattern Recognit., 2014

Two-dimensional complete neighborhood preserving embedding.
Neural Comput. Appl., 2014

2013
Efficient Image Classification via Multiple Rank Regression.
IEEE Trans. Image Process., 2013

Robust non-negative matrix factorization via joint sparse and graph regularization for transfer learning.
Neural Comput. Appl., 2013

Learning a subspace for clustering via pattern shrinking.
Inf. Process. Manag., 2013

Robust non-negative matrix factorization via joint sparse and graph regularization.
Proceedings of the 2013 International Joint Conference on Neural Networks, 2013

2012
A general framework for transfer sparse subspace learning.
Neural Comput. Appl., 2012

Unsupervised maximum margin feature selection via L 2, 1-norm minimization.
Neural Comput. Appl., 2012

Rayleigh projection depth.
Comput. Stat., 2012

2011
Spectral Clustering on Multiple Manifolds.
IEEE Trans. Neural Networks, 2011

Semisupervised Learning Using Negative Labels.
IEEE Trans. Neural Networks, 2011

Semi-supervised Dimensionality Reduction via Harmonic Functions.
Proceedings of the Modeling Decision for Artificial Intelligence, 2011

Local and Structural Consistency for Multi-Manifold Clustering.
Proceedings of the IJCAI 2011, 2011

Feature Selection via Joint Embedding Learning and Sparse Regression.
Proceedings of the IJCAI 2011, 2011

GM-transfer: Graph-based model for transfer learning.
Proceedings of the First Asian Conference on Pattern Recognition, 2011

Localized K-Flats.
Proceedings of the Twenty-Fifth AAAI Conference on Artificial Intelligence, 2011

2010
Face recognition using Intrinsicfaces.
Pattern Recognit., 2010

Complete neighborhood preserving embedding for face recognition.
Pattern Recognit., 2010

Multiple view semi-supervised dimensionality reduction.
Pattern Recognit., 2010

Multi-manifold Clustering.
Proceedings of the PRICAI 2010: Trends in Artificial Intelligence, 2010

2009
Learning an Orthogonal and Smooth Subspace for Image Classification.
IEEE Signal Process. Lett., 2009

Stable local dimensionality reduction approaches.
Pattern Recognit., 2009

Local linear transformation embedding.
Neurocomputing, 2009

Orthogonal Centroid Locally Linear Embedding for Classification.
Proceedings of the Advanced Data Mining and Applications, 5th International Conference, 2009


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