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» Using model knowledge for learning inverse dynamics
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142
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ICPR
2008
IEEE
15 years 9 months ago
Tracking human body by using particle filter Gaussian process Markov-switching model
The goal of this article is to present an effective and robust tracking algorithm for nonlinear feet motion by deploying particle filter integrated with Gaussian process latent v...
Jing Wang, Hong Man, Yafeng Yin
117
Voted
COGSCI
2002
108views more  COGSCI 2002»
15 years 3 months ago
Statistical models for the induction and use of selectional preferences
Selectional preferences have a long history in both generative and computational linguistics. However, since the publication of Resnik's dissertation in 1993, a new approach ...
Marc Light, Warren R. Greiff
146
Voted
ICDE
2006
IEEE
156views Database» more  ICDE 2006»
15 years 9 months ago
Video Database Modeling and Temporal Pattern Retrieval using Hierarchical Markov Model Mediator
The dream of pervasive multimedia retrieval and reuse will not be realized without incorporating semantics in the multimedia database. As video data is penetrating many informatio...
Na Zhao, Shu-Ching Chen, Mei-Ling Shyu
WIKIS
2009
ACM
15 years 8 months ago
Understanding learning: the Wiki way
Learning “the wiki way”, learning through wikis is a form of selfregulated learning that is independent of formal learning settings and takes place in a community of knowledge...
Joachim Kimmerle, Johannes Moskaliuk, Ulrike Cress
BMCBI
2011
14 years 10 months ago
Learning genetic epistasis using Bayesian network scoring criteria
Background: Gene-gene epistatic interactions likely play an important role in the genetic basis of many common diseases. Recently, machine-learning and data mining methods have be...
Xia Jiang, Richard E. Neapolitan, M. Michael Barma...