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» A Statistical Clustering Model and Algorithm
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TIP
2002
179views more  TIP 2002»
15 years 6 months ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
NIPS
2001
15 years 8 months ago
Grammatical Bigrams
Unsupervised learning algorithms have been derived for several statistical models of English grammar, but their computational complexity makes applying them to large data sets int...
Mark A. Paskin
KDD
2010
ACM
250views Data Mining» more  KDD 2010»
15 years 10 months ago
Modeling relational events via latent classes
Many social networks can be characterized by a sequence of dyadic interactions between individuals. Techniques for analyzing such events are of increasing interest. In this paper,...
Christopher DuBois, Padhraic Smyth
ICPPW
2000
IEEE
15 years 11 months ago
Scheduling Multiple Multicast for Heterogeneous Network of Workstations with Non-Blocking Message-Passing
This paper proposes efficient algorithms for implementing multicast in heterogeneous workstation/PC clusters. Multicast is an important operation in many scientific and industri...
Shih-Hsien Yeh, Jan-Jan Wu, Pangfeng Liu
KDD
2009
ACM
181views Data Mining» more  KDD 2009»
16 years 1 months ago
An exploration of climate data using complex networks
To discover patterns in historical data, climate scientists have applied various clustering methods with the goal of identifying regions that share some common climatological beha...
Karsten Steinhaeuser, Nitesh V. Chawla, Auroop R. ...