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» Hierarchical Hidden Markov Models for Information Extraction
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ICIP
2000
IEEE
15 years 11 months ago
Hierarchical Image Probability (HIP) Models
We formulate a model for probability distributions on image spaces. We show that any distribution of images can be factored exactly into conditional distributions of feature vecto...
Clay Spence, Lucas C. Parra, Paul Sajda
79
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ICPR
2004
IEEE
15 years 10 months ago
Speech Driven Facial Animation using a Hidden Markov Coarticulation Model
We present a hierarchical image based facial model which is driven from speech. It incorporates a novel modelling and synthesis algorithm for learning and producing coarticulated ...
Darren Cosker, A. David Marshall, Paul L. Rosin, Y...
ICPR
2010
IEEE
15 years 4 months ago
An Information Extraction Model for Unconstrained Handwritten Documents
In this paper, a new information extraction system by statistical shallow parsing in unconstrained handwritten documents is introduced. Unlike classical approaches found in the li...
Simon Thomas, Clement Chatelain, Laurent Heutte, T...