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» The Hierarchical Hidden Markov Model: Analysis and Applicati...
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AUSAI
2008
Springer
14 years 12 months ago
Propositionalisation of Profile Hidden Markov Models for Biological Sequence Analysis
Hidden Markov Models are a widely used generative model for analysing sequence data. A variant, Profile Hidden Markov Models are a special case used in Bioinformatics to represent,...
Stefan Mutter, Bernhard Pfahringer, Geoffrey Holme...
ICMCS
2005
IEEE
127views Multimedia» more  ICMCS 2005»
15 years 3 months ago
Multimodal Segmental-Based Modeling of Tennis Video Broadcasts
Efficient multimodal fusion is a key feature of future video indexing systems. Hidden Markov Models provide a powerful framework for video structure analysis but they require all...
Manolis Delakis, Guillaume Gravier, Patrick Gros
DATAMINE
2006
83views more  DATAMINE 2006»
14 years 9 months ago
Structural Hidden Markov Models Using a Relation of Equivalence: Application to Automotive Designs
Standard hidden Markov models (HMM's) have been studied extensively in the last two decades. It is well known that these models assume state conditional independence of the ob...
Djamel Bouchaffra, Jun Tan
IJCAI
2001
14 years 11 months ago
Representing Sentence Structure in Hidden Markov Models for Information Extraction
We study the application of Hidden Markov Models (HMMs) to learning information extractors for
Soumya Ray, Mark Craven
ICPR
2002
IEEE
15 years 11 months ago
Hierarchical Recognition of Intentional Human Gestures for Sports Video Annotation
We present a novel technique for the recognition of complex human gestures for video annotation using accelerometers and the hidden Markov model. Our extension to the standard hid...
Graeme S. Chambers, Svetha Venkatesh, Geoff A. W. ...