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» A Statistical Clustering Model and Algorithm
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ASPDAC
2006
ACM
230views Hardware» more  ASPDAC 2006»
15 years 8 months ago
Statistical Bellman-Ford algorithm with an application to retiming
— Process variations in digital circuits make sequential circuit timing validation an extremely challenging task. In this paper, a Statistical Bellman-Ford (SBF) algorithm is pro...
Mongkol Ekpanyapong, Thaisiri Watewai, Sung Kyu Li...
152
Voted
SDM
2009
SIAM
220views Data Mining» more  SDM 2009»
15 years 11 months ago
Bayesian Cluster Ensembles.
Cluster ensembles provide a framework for combining multiple base clusterings of a dataset to generate a stable and robust consensus clustering. There are important variants of th...
Hongjun Wang, Hanhuai Shan, Arindam Banerjee
ICPR
2000
IEEE
15 years 7 months ago
Semantically Homogeneous Segmentation with Nonparametric Region Competition
Thispaper presents a nonparametricregion competition algorithm which combines scale-space clustering and region competition to segment the image. It also proposes a formal and gen...
Ming Tang, Jing Xiao, Songde Ma
114
Voted
CSDA
2006
98views more  CSDA 2006»
15 years 2 months ago
Fast estimation algorithm for likelihood-based analysis of repeated categorical responses
Likelihood-based marginal regression modelling for repeated, or otherwise clustered, categorical responses is computationally demanding. This is because the number of measures nee...
Jukka Jokinen
162
Voted
ECAI
2004
Springer
15 years 8 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