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» Markov Random Field Modeling in Computer Vision
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PAMI
2011
13 years 16 hour ago
Hidden Part Models for Human Action Recognition: Probabilistic versus Max Margin
—We present a discriminative part-based approach for human action recognition from video sequences using motion features. Our model is based on the recently proposed hidden condi...
Yang Wang 0003, Greg Mori
ICPR
2000
IEEE
14 years 10 months ago
Image Distance Using Hidden Markov Models
We describe a method for learning statistical models of images using a second-order hidden Markov mesh model. First, an image can be segmented in a way that best matches its stati...
Daniel DeMenthon, David S. Doermann, Marc Vuilleum...
ICPR
2004
IEEE
14 years 10 months ago
Dining Activity Analysis Using a Hidden Markov Model
We describe an algorithm for dining activity analysis in a nursing home. Based on several features, including motion vectors and distance between moving regions in the subspace of...
Alexander G. Hauptmann, Ashok Bharucha, Howard D. ...
ACL
2009
13 years 7 months ago
Hidden Markov Tree Model in Dependency-based Machine Translation
We would like to draw attention to Hidden Markov Tree Models (HMTM), which are to our knowledge still unexploited in the field of Computational Linguistics, in spite of highly suc...
Zdenek Zabokrtský, Martin Popel
ICPR
2004
IEEE
14 years 10 months ago
Morphology Analysis of Physiological Signals Using Hidden Markov Models
We describe a clustering algorithm based on continuous Hidden Markov Models (HMM) to automatically classify both electrocardiogram (ECG) and intracranial pressure (ICP) beats base...
Daniel Novák, Lenka Lhotská, David C...