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» Representing Systems with Hidden State
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128
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ICMLA
2004
15 years 3 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...
130
Voted
IVC
2002
148views more  IVC 2002»
15 years 1 months ago
Detecting lameness using 'Re-sampling Condensation' and 'multi-stream cyclic hidden Markov models'
A system for the tracking and classification of livestock movements is presented. The combined `tracker-classifier' scheme is based on a variant of Isard and Blakes `Condensa...
Derek R. Magee, Roger D. Boyle
ICASSP
2008
IEEE
15 years 8 months ago
Distributed multi-dimensional hidden Markov models for image and trajectory-based video classifications
In this paper, we propose a novel multi-dimensional distributed hidden Markov model (DHMM) framework. We first extend the theory of 2D hidden Markov models (HMMs) to arbitrary ca...
Xiang Ma, Dan Schonfeld, Ashfaq A. Khokhar
108
Voted
ICDAR
2009
IEEE
14 years 11 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
GW
2005
Springer
129views Biometrics» more  GW 2005»
15 years 7 months ago
Visual Sign Language Recognition Based on HMMs and Auto-regressive HMMs
Abstract. A sign language recognition system based on Hidden Markov Models(HMMs) and Auto-regressive Hidden Markov Models(ARHMMs) has been proposed in this paper. ARHMMs fully cons...
Xiaolin Yang, Feng Jiang, Han Liu, Hongxun Yao, We...