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» Hybrid Hidden Markov Model for Face Recognition
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ACL
2010
14 years 8 months ago
Correcting Errors in Speech Recognition with Articulatory Dynamics
We introduce a novel mechanism for incorporating articulatory dynamics into speech recognition with the theory of task dynamics. This system reranks sentencelevel hypotheses by th...
Frank Rudzicz
CSL
2011
Springer
14 years 4 months ago
The subspace Gaussian mixture model - A structured model for speech recognition
We describe a new approach to speech recognition, in which all Hidden Markov Model (HMM) states share the same Gaussian Mixture Model (GMM) structure with the same number of Gauss...
Daniel Povey, Lukas Burget, Mohit Agarwal, Pinar A...
PERCOM
2003
ACM
15 years 3 months ago
Recognition of Human Activity through Hierarchical Stochastic Learning
Seeking to extend the functional capability of the elderly, we explore the use of probabilistic methods to learn and recognise human activity in order to provide monitoring suppor...
Sebastian Lühr, Hung Hai Bui, Svetha Venkates...
ICPR
2008
IEEE
15 years 11 months ago
Multi-view face recognition by nonlinear tensor decomposition
We discuss a new multi-view face recognition method that extends a recently proposed nonlinear tensor decomposition technique. We use this technique to provide a generative face m...
Chunna Tian, Guoliang Fan, Xinbo Gao
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...