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» Hybrid Hidden Markov Model for Face Recognition
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ICMCS
2010
IEEE
164views Multimedia» more  ICMCS 2010»
14 years 10 months ago
Exploiting multimodal data fusion in robust speech recognition
This article introduces automatic speech recognition based on Electro-Magnetic Articulography (EMA). Movements of the tongue, lips, and jaw are tracked by an EMA device, which are...
Panikos Heracleous, Pierre Badin, Gérard Ba...
ICRA
2009
IEEE
175views Robotics» more  ICRA 2009»
14 years 7 months ago
Human daily activity recognition in robot-assisted living using multi-sensor fusion
In this paper, we propose a human daily activity recognition method by fusing the data from two wearable inertial sensors attached on one foot and the waist of the human subject, r...
Chun Zhu, Weihua Sheng
RAS
2010
104views more  RAS 2010»
14 years 8 months ago
A hybrid controller based on the egocentric perceptual principle
In this paper we extend the control methodology based on Extended Markov Tracking (EMT) by providing the control algorithm with capabilities to calibrate and even partially recons...
Zinovi Rabinovich, Nicholas R. Jennings
CSL
2002
Springer
14 years 9 months ago
Transformation streams and the HMM error model
The most popular model used in automatic speech recognition is the hidden Markov model (HMM). Though good performance has been obtained with such models there are well known limit...
M. J. F. Gales
ICDAR
2009
IEEE
14 years 7 months ago
Stochastic Model of Stroke Order Variation
A stochastic model of stroke order variation is proposed and applied to the stroke-order free on-line Kanji character recognition. The proposed model is a hidden Markov model (HMM...
Yoshinori Katayama, Seiichi Uchida, Hiroaki Sakoe