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» Approximating Markov Processes by Averaging
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CVPR
2006
IEEE
16 years 1 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar
JAIR
2006
122views more  JAIR 2006»
14 years 11 months ago
Solving Factored MDPs with Hybrid State and Action Variables
Efficient representations and solutions for large decision problems with continuous and discrete variables are among the most important challenges faced by the designers of automa...
Branislav Kveton, Milos Hauskrecht, Carlos Guestri...
BMCBI
2010
101views more  BMCBI 2010»
14 years 12 months ago
Hidden Markov model speed heuristic and iterative HMM search procedure
Background: Profile hidden Markov models (profile-HMMs) are sensitive tools for remote protein homology detection, but the main scoring algorithms, Viterbi or Forward, require con...
L. Steven Johnson, Sean R. Eddy, Elon Portugaly
DAGM
2008
Springer
15 years 1 months ago
Approximate Parameter Learning in Conditional Random Fields: An Empirical Investigation
We investigate maximum likelihood parameter learning in Conditional Random Fields (CRF) and present an empirical study of pseudo-likelihood (PL) based approximations of the paramet...
Filip Korc, Wolfgang Förstner
DKE
2007
119views more  DKE 2007»
14 years 11 months ago
Error minimization in approximate range aggregates
Histogram techniques have been used in many commercial database management systems to estimate a query result size. Recently, it has been shown that they are very effective to su...
Xuemin Lin, Qing Zhang, Yidong Yuan, Qing Liu