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» Chameleon: Hierarchical Clustering Using Dynamic Modeling
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JCST
2008
121views more  JCST 2008»
13 years 9 months ago
Clustering Text Data Streams
Abstract Clustering text data streams is an important issue in data mining community and has a number of applications such as news group filtering, text crawling, document organiza...
Yubao Liu, Jiarong Cai, Jian Yin, Ada Wai-Chee Fu
ECAI
2004
Springer
14 years 3 months ago
Learning Complex and Sparse Events in Long Sequences
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...
Marco Botta, Ugo Galassi, Attilio Giordana
ICML
2007
IEEE
14 years 10 months ago
A permutation-augmented sampler for DP mixture models
We introduce a new inference algorithm for Dirichlet process mixture models. While Gibbs sampling and variational methods focus on local moves, the new algorithm makes more global...
Percy Liang, Michael I. Jordan, Benjamin Taskar
ANSS
2002
IEEE
14 years 2 months ago
Gang Scheduling Performance on a Cluster of Non-Dedicated Workstations
Clusters of workstations have emerged as a costeffective solution to high performance computing problem. To take advantage of any opportunities, however, effective scheduling tech...
Helen D. Karatza
PG
2003
IEEE
14 years 2 months ago
Adaptive Grouping and Subdivision for Simulating Hair Dynamics
We present a novel approach for adaptively grouping and subdividing hair using discrete level-of-detail (LOD) representations. The set of discrete LODs include hair strands, clust...
Kelly Ward, Ming C. Lin