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» Factorial Hidden Markov Models for Gait Recognition
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ICASSP
2009
IEEE
14 years 2 months ago
Independent component analysis for noisy speech recognition
Independent component analysis (ICA) is not only popular for blind source separation but also for unsupervised learning when the observations can be decomposed into some independe...
Hsin-Lung Hsieh, Jen-Tzung Chien, Koichi Shinoda, ...
CSL
2000
Springer
13 years 7 months ago
Efficient speech recognition using subvector quantization and discrete-mixture HMMS
This paper introduces a new form of observation distributions for hidden Markov models (HMMs), combining subvector quantization and mixtures of discrete distrib utions. Despite w...
Vassilios Digalakis, S. Tsakalidis, Costas Harizak...
GW
2009
Springer
195views Biometrics» more  GW 2009»
13 years 5 months ago
Continuous Realtime Gesture Following and Recognition
Abstract. We present a HMM based system for real-time gesture analysis. The system outputs continuously parameters relative to the gesture time progression and its likelihood. Thes...
Frédéric Bevilacqua, Bruno Zamborlin...
COST
2009
Springer
203views Multimedia» more  COST 2009»
14 years 2 months ago
Multiple Feature Extraction and Hierarchical Classifiers for Emotions Recognition
Abstract. The recognition of the emotional states of speaker is a multidisciplinary research area that has received great interest in the last years. One of the most important goal...
Enrique M. Albornoz, Diego H. Milone, Hugo Leonard...
ICPR
2006
IEEE
14 years 1 months ago
HMM-based Human Action Recognition Using Multiview Image Sequences
In this paper, we present a novel method for human action recognition from any arbitrary view image sequence that uses the Cartesian component of optical flow velocity and human ...
Mohiuddin Ahmad, Seong-Whan Lee