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» Fuzzy Observable Markov Models for Pattern Recognition
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INTERSPEECH
2010
14 years 4 months ago
Hidden Markov models with context-sensitive observations for grapheme-to-phoneme conversion
Hidden Markov models (HMMs) have proven useful in various aspects of speech technology from automatic speech recognition through speech synthesis, speech segmentation and grapheme...
Udochukwu Kalu Ogbureke, Peter Cahill, Julie Carso...
AUSAI
2003
Springer
15 years 2 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 ...
AAAI
2012
12 years 11 months ago
Goal Recognition with Markov Logic Networks for Player-Adaptive Games
Goal recognition in digital games involves inferring players’ goals from observed sequences of low-level player actions. Goal recognition models support player-adaptive digital ...
Eun Y. Ha, Jonathan P. Rowe, Bradford W. Mott, Jam...
HCI
2009
14 years 7 months ago
Partially Observable Markov Decision Process (POMDP) Technologies for Sign Language Based Human-Computer Interaction
Sign language (SL) recognition modules in human-computer interaction systems need to be both fast and reliable. In cases where multiple sets of features are extracted from the SL d...
Sylvie C. W. Ong, David Hsu, Wee Sun Lee, Hanna Ku...
JCC
2002
88views more  JCC 2002»
14 years 9 months ago
Pattern recognition strategies for molecular surfaces. I. Pattern generation using fuzzy set theory
: A new method for the characterization of molecules based on the model approach of molecular surfaces is presented. We use the topographical properties of the surface as well as t...
Thomas E. Exner, Matthias Keil, Jürgen Brickm...