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SIGIR
2002
ACM
13 years 8 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
BMCBI
2006
127views more  BMCBI 2006»
13 years 8 months ago
A graph-search framework for associating gene identifiers with documents
Background: One step in the model organism database curation process is to find, for each article, the identifier of every gene discussed in the article. We consider a relaxation ...
William W. Cohen, Einat Minkov
BIOINFORMATICS
2004
99views more  BIOINFORMATICS 2004»
13 years 8 months ago
EST clustering error evaluation and correction
Motivation: The gene expression intensity information conveyed by (EST) Expressed Sequence Tag data can be used to infer important cDNA library properties, such as gene number and...
Ji-Ping Z. Wang, Bruce G. Lindsay 0002, James Leeb...
KDD
2004
ACM
190views Data Mining» more  KDD 2004»
14 years 9 months ago
Kernel k-means: spectral clustering and normalized cuts
Kernel k-means and spectral clustering have both been used to identify clusters that are non-linearly separable in input space. Despite significant research, these methods have re...
Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis
CIVR
2006
Springer
139views Image Analysis» more  CIVR 2006»
14 years 15 days ago
Finding People Frequently Appearing in News
Abstract. We propose a graph based method to improve the performance of person queries in large news video collections. The method benefits from the multi-modal structure of videos...
Derya Ozkan, Pinar Duygulu