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» Geometric Clustering Using the Information Bottleneck Method
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ICTAI
2008
IEEE
15 years 4 months ago
Knee Point Detection on Bayesian Information Criterion
The main challenge of cluster analysis is that the number of clusters or the number of model parameters is seldom known, and it must therefore be determined before clustering. Bay...
Qinpei Zhao, Mantao Xu, Pasi Fränti
BIOCOMP
2008
14 years 11 months ago
GIPSCo: A Method for Comparison of Protein Structures Based on Geometric Invariants
Protein structure comparison is important for elucidation of evolutionary relationships, function and functionally important amino acid residues. We propose Geometric Invariant bas...
Sandeep Deshmukh, Aniket Dalal, Pramod Wangikar
AIRS
2004
Springer
15 years 3 months ago
Automatic Word Clustering for Text Categorization Using Global Information
This paper presents a cluster-based text categorization system which uses class distributional clustering of words. We propose a new clustering model which considers the global in...
Wenliang Chen, Xingzhi Chang, Huizhen Wang, Jingbo...
TASLP
2002
142views more  TASLP 2002»
14 years 9 months ago
Geometric source separation: merging convolutive source separation with geometric beamforming
Convolutive blind source separation and adaptive beamforming have a similar goal--extracting a source of interest (or multiple sources) while reducing undesired interferences. A be...
Lucas C. Parra, Christopher V. Alvino
PAMI
2007
186views more  PAMI 2007»
14 years 9 months ago
The Medial Scaffold of 3D Unorganized Point Clouds
—We introduce the notion of the medial scaffold, a hierarchical organization of the medial axis of a 3D shape in the form of a graph constructed from special medial curves connec...
Frederic F. Leymarie, Benjamin B. Kimia