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» Incremental Markov-Model Planning
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FLAIRS
2006
13 years 7 months ago
An Empirical Exploration of Hidden Markov Models: From Spelling Recognition to Speech Recognition
Hidden Markov models play a critical role in the modelling and problem solving of important AI tasks such as speech recognition and natural language processing. However, the stude...
Shieu-Hong Lin
AUSAI
2003
Springer
13 years 10 months ago
Reduction of Non Deterministic Automata for Hidden Markov Model Based Pattern Recognition Applications
Most on-line cursive handwriting recognition systems use a lexical constraint to help improve the recognition performance. Traditionally, the vocabulary lexicon is stored in a trie...
Frédéric Maire, Frank Wathne, Alain ...
JAIR
2002
120views more  JAIR 2002»
13 years 5 months ago
Learning Geometrically-Constrained Hidden Markov Models for Robot Navigation: Bridging the Topological-Geometrical Gap
Hidden Markov models hmms and partially observable Markov decision processes pomdps provide useful tools for modeling dynamical systems. They are particularly useful for represent...
Hagit Shatkay, Leslie Pack Kaelbling
AI
2006
Springer
13 years 5 months ago
Robot introspection through learned hidden Markov models
In this paper we describe a machine learning approach for acquiring a model of a robot behaviour from raw sensor data. We are interested in automating the acquisition of behaviour...
Maria Fox, Malik Ghallab, Guillaume Infantes, Dere...
CVPR
2006
IEEE
14 years 7 months ago
Gesture Recognition using Hidden Markov Models from Fragmented Observations
We consider the problem of computing the likelihood of a gesture from regular, unaided video sequences, without relying on perfect segmentation of the scene. Instead of requiring ...
Ruiduo Yang, Sudeep Sarkar