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» Geometric Clustering Using the Information Bottleneck Method
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MLDM
1999
Springer
15 years 2 months ago
Non-hierarchical Clustering with Rival Penalized Competitive Learning for Information Retrieval
In large content-based image database applications, e cient information retrieval depends heavily on good indexing structures of the extracted features. While indexing techniques f...
Irwin King, Tak-Kan Lau
ISMAR
2007
IEEE
15 years 4 months ago
Visually Elegant and Robust Semi-Fiducials for Geometric Registration in Mixed Reality
This paper describes a novel image-based geometric registration method using visually elegant and robust semi-fiducial markers in mixed reality (MR). Most traditional visual marke...
Ryuhei Tenmoku, Yusuke Yoshida, Fumihisa Shibata, ...
BMCBI
2007
148views more  BMCBI 2007»
14 years 9 months ago
Evaluation of gene-expression clustering via mutual information distance measure
Background: The definition of a distance measure plays a key role in the evaluation of different clustering solutions of gene expression profiles. In this empirical study we compa...
Ido Priness, Oded Maimon, Irad E. Ben-Gal
IPPS
2006
IEEE
15 years 3 months ago
A method to improve structural modeling based on conserved domain clusters
—Homology modeling requires an accurate alignment between a query sequence and its homologs with known three-dimensional (3D) information. Current structural modeling techniques ...
Fa Zhang, Lin Xu, Bo Yuan
BMCBI
2010
175views more  BMCBI 2010»
14 years 9 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng