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» DBDC: Density Based Distributed Clustering
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AAAI
2008
13 years 9 months ago
Clustering via Random Walk Hitting Time on Directed Graphs
In this paper, we present a general data clustering algorithm which is based on the asymmetric pairwise measure of Markov random walk hitting time on directed graphs. Unlike tradi...
Mo Chen, Jianzhuang Liu, Xiaoou Tang
ICIP
2008
IEEE
14 years 1 months ago
Learning efficient codes for 3D face recognition
Face representation based on the Visual Codebook becomes popular because of its excellent recognition performance, in which the critical problem is how to learn the most efficien...
Cheng Zhong, Zhenan Sun, Tieniu Tan
SSDBM
2005
IEEE
218views Database» more  SSDBM 2005»
14 years 21 days ago
The "Best K" for Entropy-based Categorical Data Clustering
With the growing demand on cluster analysis for categorical data, a handful of categorical clustering algorithms have been developed. Surprisingly, to our knowledge, none has sati...
Keke Chen, Ling Liu
AINA
2008
IEEE
14 years 1 months ago
PRODUCE: A Probability-Driven Unequal Clustering Mechanism for Wireless Sensor Networks
There has been proliferation of research on seeking for distributing the energy consumption among nodes in each cluster and between cluster heads to extend the network lifetime. H...
Jung-Hwan Kim, Sajjad Hussain Chauhdary, WenCheng ...
ECCV
2002
Springer
14 years 9 months ago
Nonlinear Shape Statistics in Mumford-Shah Based Segmentation
We present a variational integration of nonlinear shape statistics into a Mumford?Shah based segmentation process. The nonlinear statistics are derived from a set of training silho...
Christoph Schnörr, Daniel Cremers, Timo Kohlb...