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SP
2002
IEEE
128views Security Privacy» more  SP 2002»
14 years 9 months ago
Fitting hidden Markov models to psychological data
Markov models have been used extensively in psychology of learning. Applications of hidden Markov models are rare however. This is partially due to the fact that comprehensive stat...
Ingmar Visser, Maartje E. J. Raijmakers, Peter C. ...
GLOBECOM
2006
IEEE
15 years 3 months ago
Analytical Investigation with Markov Models of Selective Repeat Type II Hybrid ARQ
— This paper presents an analytical model for the analysis of Hybrid ARQ techniques on Discrete Time Markov Channels by means of Markov chains. The first contribution is an orig...
Leonardo Badia, Marco Levorato, Michele Zorzi
ACL
1997
14 years 11 months ago
Hierarchical Non-Emitting Markov Models
We describe a simple variant of the interpolated Markov model with nonemitting state transitions and prove that it is strictly more powerful than any Markov model. More importantl...
Eric Sven Ristad, Robert G. Thomas
CVPR
2009
IEEE
15 years 8 months ago
Markov Chain Monte Carlo Combined with Deterministic Methods for Markov Random Field Optimization
Many vision problems have been formulated as en- ergy minimization problems and there have been signif- icant advances in energy minimization algorithms. The most widely-used energ...
Wonsik Kim (Seoul National University), Kyoung Mu ...
ICPR
2010
IEEE
15 years 2 days ago
A Compound MRF Texture Model
—This paper describes a novel compound Markov random field model capable of realistic modelling of multispectral bidirectional texture function, which is currently the most adva...
Michael Haindl, Vojtech Havlicek