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TNN
2010
155views Management» more  TNN 2010»
13 years 2 months ago
Incorporating the loss function into discriminative clustering of structured outputs
Clustering using the Hilbert Schmidt independence criterion (CLUHSIC) is a recent clustering algorithm that maximizes the dependence between cluster labels and data observations ac...
Wenliang Zhong, Weike Pan, James T. Kwok, Ivor W. ...
ICIP
2002
IEEE
14 years 9 months ago
Boosting face recognition on a large-scale database
Performance of many state-of-the-art face recognition (FR) methods deteriorates rapidly, when large in size databases are considered. In this paper, we propose a novel clustering ...
Juwei Lu, Konstantinos N. Plataniotis
BMCBI
2010
104views more  BMCBI 2010»
13 years 7 months ago
Analysis of protein-protein docking decoys using interaction fingerprints: application to the reconstruction of CaM-ligand compl
Background: Protein-protein docking for proteins with large conformational changes was analyzed by using interaction fingerprints, one of the scales for measuring similarities amo...
Nobuyuki Uchikoga, Takatsugu Hirokawa
IRAL
2003
ACM
14 years 24 days ago
Keyword-based document clustering
1 Document clustering is an aggregation of related documents to a cluster based on the similarity evaluation task between documents and the representatives of clusters. Terms and t...
Seung-Shik Kang