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» Geometric Clustering Using the Information Bottleneck Method
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ICDE
2006
IEEE
114views Database» more  ICDE 2006»
15 years 3 months ago
Novelty-based Incremental Document Clustering for On-line Documents
Document clustering has been used as a core technique in managing vast amount of data and providing needed information. In on-line environments, generally new information gains mo...
Sophoin Khy, Yoshiharu Ishikawa, Hiroyuki Kitagawa
CVPR
2012
IEEE
13 years 2 days ago
Geometric understanding of point clouds using Laplace-Beltrami operator
In this paper, we propose a general framework for approximating differential operator directly on point clouds and use it for geometric understanding on them. The discrete approxi...
Jian Liang, Rongjie Lai, Tsz Wai Wong, Hongkai Zha...
ICIP
2007
IEEE
15 years 4 months ago
Distributed Compression of Multi-View Images using a Geometrical Coding Approach
In this paper, we propose a distributed compression approach for multi-view images, where each camera efficiently encodes its visual information locally without requiring any col...
Nicolas Gehrig, Pier Luigi Dragotti
ICASSP
2011
IEEE
14 years 1 months ago
A mutual information based approach for evaluating the quality of clustering
In this paper, a new method for evaluating the quality of clustering of genes is proposed based on mutual information criterion. Instead of using the conventional histogram-based ...
Shaikh Anowarul Fattah, Chia-Chun Lin, Sun-Yuan Ku...
73
Voted
IDA
1999
Springer
15 years 1 months ago
Discovering Dynamics Using Bayesian Clustering
Abstract. This paper introduces a Bayesian method for clustering dynamic processes and applies it to the characterization of the dynamics of a military scenario. The method models ...
Paola Sebastiani, Marco Ramoni, Paul R. Cohen, Joh...