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ICPR
2006
IEEE
14 years 8 months ago
Protein Fold Recognition using a Structural Hidden Markov Model
Protein fold recognition has been the focus of computational biologists for many years. In order to map a protein primary structure to its correct 3D fold, we introduce in this pa...
Djamel Bouchaffra, Jun Tan
ICPR
2000
IEEE
14 years 8 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...
VTS
2000
IEEE
113views Hardware» more  VTS 2000»
13 years 12 months ago
Hidden Markov and Independence Models with Patterns for Sequential BIST
We propose a novel BIST technique for non-scan sequential circuits which does not modify the circuit under test. It uses a learning algorithm to build a hardware test sequence gen...
Laurent Bréhélin, Olivier Gascuel, G...
COLING
2010
13 years 2 months ago
A Structured Vector Space Model for Hidden Attribute Meaning in Adjective-Noun Phrases
We present an approach to model hidden attributes in the compositional semantics of adjective-noun phrases in a distributional model. For the representation of adjective meanings,...
Matthias Hartung, Anette Frank
ICPR
2004
IEEE
14 years 8 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...