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131
Voted
KDD
2012
ACM
196views Data Mining» more  KDD 2012»
13 years 2 months ago
Chromatic correlation clustering
We study a novel clustering problem in which the pairwise relations between objects are categorical. This problem can be viewed as clustering the vertices of a graph whose edges a...
Francesco Bonchi, Aristides Gionis, Francesco Gull...
67
Voted
JMM2
2007
59views more  JMM2 2007»
15 years 9 days ago
Single-Ended Quality Measurement of Noise Suppressed Speech Based on Kullback-Leibler Distances
— In this paper, a single-ended quality measurement algorithm for noise suppressed speech is described. The proposed algorithm computes fast approximations of KullbackLeibler dis...
Tiago H. Falk, Hua Yuan, Wai-Yip Chan
113
Voted
KDD
2008
ACM
115views Data Mining» more  KDD 2008»
16 years 25 days ago
SPIRAL: efficient and exact model identification for hidden Markov models
Hidden Markov models (HMMs) have received considerable attention in various communities (e.g, speech recognition, neurology and bioinformatic) since many applications that use HMM...
Yasuhiro Fujiwara, Yasushi Sakurai, Masashi Yamamu...
BMCBI
2010
175views more  BMCBI 2010»
15 years 16 days ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng
121
Voted
CVPR
2007
IEEE
16 years 2 months ago
Learning and Matching Line Aspects for Articulated Objects
Traditional aspect graphs are topology-based and are impractical for articulated objects. In this work we learn a small number of aspects, or prototypical views, from video data. ...
Xiaofeng Ren