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ML
1998
ACM
139views Machine Learning» more  ML 1998»
14 years 9 months ago
The Hierarchical Hidden Markov Model: Analysis and Applications
We introduce, analyze and demonstrate a recursive hierarchical generalization of the widely used hidden Markov models, which we name Hierarchical Hidden Markov Models (HHMM). Our m...
Shai Fine, Yoram Singer, Naftali Tishby
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
15 years 2 months ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
ECML
2006
Springer
15 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...
FGR
2011
IEEE
209views Biometrics» more  FGR 2011»
14 years 1 months ago
Modeling hidden dynamics of multimodal cues for spontaneous agreement and disagreement recognition
— This paper attempts to recognize spontaneous agreement and disagreement based only on nonverbal multimodal cues. Related work has mainly used verbal and prosodic cues. We demon...
Konstantinos Bousmalis, Louis-Philippe Morency, Ma...
ISMIR
2004
Springer
99views Music» more  ISMIR 2004»
15 years 3 months ago
A Hybrid Graphical Model for Aligning Polyphonic Audio with Musical Scores
We present a new method for establishing an alignment between a polyphonic musical score and a corresponding sampled audio performance. The method uses a graphical model containin...
Christopher Raphael