Search Results for author: Weixiang Shao

Found 5 papers, 0 papers with code

Semi-supervised Deep Representation Learning for Multi-View Problems

no code implementations11 Nov 2018 Vahid Noroozi, Sara Bahaadini, Lei Zheng, Sihong Xie, Weixiang Shao, Philip S. Yu

While neural networks for learning representation of multi-view data have been previously proposed as one of the state-of-the-art multi-view dimension reduction techniques, how to make the representation discriminative with only a small amount of labeled data is not well-studied.

Dimensionality Reduction Learning Representation Of Multi-View Data

Online Multi-view Clustering with Incomplete Views

no code implementations2 Nov 2016 Weixiang Shao, Lifang He, Chun-Ta Lu, Philip S. Yu

We model the multi-view clustering problem as a joint weighted nonnegative matrix factorization problem and process the multi-view data chunk by chunk to reduce the memory requirement.

Online Unsupervised Multi-view Feature Selection

no code implementations27 Sep 2016 Weixiang Shao, Lifang He, Chun-Ta Lu, Xiaokai Wei, Philip S. Yu

Third, how to leverage the consistent and complementary information from different views to improve the feature selection in the situation when the data are too big or come in as streams?

Sparse Learning

Multi-Source Multi-View Clustering via Discrepancy Penalty

no code implementations14 Apr 2016 Weixiang Shao, Jiawei Zhang, Lifang He, Philip S. Yu

In many real-world applications, information can be gathered from multiple sources, while each source can contain multiple views, which are more cohesive for learning.

Clustering on Multiple Incomplete Datasets via Collective Kernel Learning

no code implementations4 Oct 2013 Weixiang Shao, Xiaoxiao Shi, Philip S. Yu

The idea is to collectively completes the kernel matrices of incomplete datasets by optimizing the alignment of the shared instances of the datasets.

Recommendation Systems

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