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ECCV
2002
Springer
15 years 23 days ago
Factorial Markov Random Fields
In this paper we propose an extension to the standard Markov Random Field (MRF) model in order to handle layers. Our extension, which we call a Factorial MRF (FMRF), is analogous t...
Junhwan Kim, Ramin Zabih
ICML
2005
IEEE
14 years 11 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...
CVPR
2007
IEEE
15 years 28 days ago
Discriminative Learning of Dynamical Systems for Motion Tracking
We introduce novel discriminative learning algorithms for dynamical systems. Models such as Conditional Random Fields or Maximum Entropy Markov Models outperform the generative Hi...
Minyoung Kim, Vladimir Pavlovic
ICPR
2010
IEEE
13 years 8 months ago
A Framework for Hand Gesture Recognition and Spotting Using Sub-gesture Modeling
Hand gesture interpretation is an open research problem in Human Computer Interaction (HCI), which involves locating gesture boundaries (Gesture Spotting) in a continuous video se...
Manavender R. Malgireddy, Jason J. Corso, Sriranga...
WSC
2008
14 years 1 months ago
Efficient simulation for tail probabilities of Gaussian random fields
We are interested in computing tail probabilities for the maxima of Gaussian random fields. In this paper, we discuss two special cases: random fields defined over a finite number...
Robert J. Adler, Jose Blanchet, Jingchen Liu