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CSDA
2008
91views more  CSDA 2008»
15 years 6 months ago
Model-based clustering for longitudinal data
A model-based clustering method is proposed for clustering individuals on the basis of measurements taken over time. Data variability is taken into account through non-linear hier...
Rolando De la Cruz-Mesía, Fernando A. Quint...
BIBM
2010
IEEE
222views Bioinformatics» more  BIBM 2010»
15 years 4 months ago
CEO a cloud epistasis computing model in GWAS
The 1000 Genome project has made available a large number of single nucleotide polymorphisms (SNPs) for genome-wide association studies (GWAS). However, the large number of SNPs ha...
Zhengkui Wang, Yue Wang, Kian-Lee Tan, Limsoon Won...
WEBI
2010
Springer
15 years 4 months ago
Lightweight Clustering Methods for Webspam Demotion
Abstract--To make sure they can quickly respond to a specific query, the main search engines have several mechanisms. One of them consists in ranking web pages according to their i...
Thomas Largillier, Sylvain Peyronnet
174
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ICMLC
2005
Springer
15 years 12 months ago
Automatic 3D Motion Synthesis with Time-Striding Hidden Markov Model
In this paper we present a new method, time-striding hidden Markov model (TSHMM), to learn from long-term motion for atomic behaviors and the statistical dependencies among them. T...
Yi Wang, Zhi-Qiang Liu, Li-Zhu Zhou
ICIP
2000
IEEE
16 years 8 months ago
Object Tracking by Adaptive Modeling
This paper addresses the problem of object tracking in image sequences. The approach taken is based upon adaptive statistical models. An object selected in a frame by a user is tr...
Andrei Rares, Marcel J. T. Reinders