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» Hybrid Hidden Markov Model for Face Recognition
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GW
1997
Springer
84views Biometrics» more  GW 1997»
15 years 2 months ago
High Performance Real-Time Gesture Recognition Using Hidden Markov Models
Gerhard Rigoll, Andreas Kosmala, Stefan Eickeler
ASPDAC
2001
ACM
57views Hardware» more  ASPDAC 2001»
15 years 1 months ago
Speech recognition chip for monosyllables
Abstract-- In the paper, we present a real-time speech recognition chip for monosyllables such as A, B, ..., etc. The chip recognizes up to 64 monosyllables based on the Hidden Mar...
Kazuhiro Nakamura, Qiang Zhu, Shinji Maruoka, Taka...
DICTA
2003
14 years 11 months ago
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
Nianjun Liu, Brian C. Lovell
FLAIRS
2008
15 years 4 days ago
Learning Dynamic Naive Bayesian Classifiers
Hidden Markov models are a powerful technique to model and classify temporal sequences, such as in speech and gesture recognition. However, defining these models is still an art: ...
Miriam Martínez, Luis Enrique Sucar