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SIGIR
2002
ACM
13 years 7 months ago
Document clustering with cluster refinement and model selection capabilities
In this paper, we propose a document clustering method that strives to achieve: (1) a high accuracy of document clustering, and (2) the capability of estimating the number of clus...
Xin Liu, Yihong Gong, Wei Xu, Shenghuo Zhu
CVPR
2008
IEEE
14 years 9 months ago
Learning human actions via information maximization
In this paper, we present a novel approach for automatically learning a compact and yet discriminative appearance-based human action model. A video sequence is represented by a ba...
Jingen Liu, Mubarak Shah
ICML
2009
IEEE
14 years 8 months ago
Multi-view clustering via canonical correlation analysis
Clustering data in high dimensions is believed to be a hard problem in general. A number of efficient clustering algorithms developed in recent years address this problem by proje...
Kamalika Chaudhuri, Sham M. Kakade, Karen Livescu,...
JCDL
2006
ACM
172views Education» more  JCDL 2006»
14 years 1 months ago
A comprehensive comparison study of document clustering for a biomedical digital library MEDLINE
Document clustering has been used for better document retrieval, document browsing, and text mining in digital library. In this paper, we perform a comprehensive comparison study ...
Illhoi Yoo, Xiaohua Hu
BMCBI
2007
163views more  BMCBI 2007»
13 years 7 months ago
A coherent graph-based semantic clustering and summarization approach for biomedical literature and a new summarization evaluati
Background: A huge amount of biomedical textual information has been produced and collected in MEDLINE for decades. In order to easily utilize biomedical information in the free t...
Illhoi Yoo, Xiaohua Hu, Il-Yeol Song