Bin Zhao

IEEE Trans. Neural Networks, 2011

2010

Linear time maximum margin clustering.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2010

2009

Block-Quantized Support Vector Ordinal Regression.

[BibT_eX]

[DOI]

IEEE Trans. Neural Networks, 2009

Multiple Kernel Clustering.

[BibT_eX]

[DOI]

James T. Kwok

Proceedings of the SIAM International Conference on Data Mining, 2009

Compressed Spectral Clustering.

[BibT_eX]

[DOI]

Proceedings of the ICDM Workshops 2009, 2009

Maximum Margin Clustering with Multivariate Loss Function.

[BibT_eX]

[DOI]

James Tin-Yau Kwok

Proceedings of the ICDM 2009, 2009

Unsupervised Maximum Margin Feature Selection with manifold regularization.

[BibT_eX]

[DOI]

Proceedings of the 2009 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2009), 2009

2008

Efficient Maximum Margin Clustering via Cutting Plane Algorithm.

[BibT_eX]

[DOI]

Proceedings of the SIAM International Conference on Data Mining, 2008

Cuts3vm: a fast semi-supervised svm algorithm.

[BibT_eX]

[DOI]

Proceedings of the 14th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2008

Efficient multiclass maximum margin clustering.

[BibT_eX]

[DOI]

Proceedings of the Machine Learning, 2008

Maximum Margin Embedding.

[BibT_eX]

[DOI]

Proceedings of the 8th IEEE International Conference on Data Mining (ICDM 2008), 2008

Active model selection for Graph-Based Semi-Supervised Learning.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

2007

Smoothness Maximization via Gradient Descents.

[BibT_eX]

[DOI]