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AAAI
2008
15 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
214
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CVPR
2004
IEEE
16 years 8 months ago
Model-Based Motion Clustering Using Boosted Mixture Modeling
Model-based clustering of motion trajectories can be posed as the problem of learning an underlying mixture density function whose components correspond to motion classes with dif...
Vladimir Pavlovic
ICPADS
2005
IEEE
16 years 12 days ago
I/O Processor Allocation for Mesh Cluster Computers
As cluster systems become increasingly popular, more and more parallel applications require need not only computing power but also significant I/O performance. However, the I/O s...
Pangfeng Liu, Chun-Chen Hsu, Jan-Jan Wu
ISPASS
2003
IEEE
16 years 2 days ago
Performance study of a cluster runtime system for dynamic interactive stream-oriented applications
Emerging application domains such as interactive vision, animation, and multimedia collaboration display dynamic scalable parallelism, and high computational requirements, making ...
Arnab Paul, Nissim Harel, Sameer Adhikari, Bikash ...
ALMOB
2006
89views more  ALMOB 2006»
15 years 6 months ago
On the maximal cliques in c-max-tolerance graphs and their application in clustering molecular sequences
Given a set S of n locally aligned sequences, it is a needed prerequisite to partition it into groups of very similar sequences to facilitate subsequent computations, such as the ...
Katharina Anna Lehmann, Michael Kaufmann, Stephan ...