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» 2D Shape Recognition by Hidden Markov Models
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74
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ASPDAC
2001
ACM
57views Hardware» more  ASPDAC 2001»
15 years 5 months ago
Speech recognition chip for monosyllables
Abstract-- In the paper, we present a real-time speech recognition chip for monosyllables such as A, B, ..., etc. The chip recognizes up to 64 monosyllables based on the Hidden Mar...
Kazuhiro Nakamura, Qiang Zhu, Shinji Maruoka, Taka...
133
Voted
ICVGIP
2004
15 years 3 months ago
Multi-Cue Exemplar-Based Nonparametric Model for Gesture Recognition
This paper presents an approach for a multi-cue, viewbased recognition of gestures. We describe an exemplarbased technique that combines two different forms of exemplars - shape e...
Vinay D. Shet, V. Shiv Naga Prasad, Ahmed M. Elgam...
149
Voted
ICDAR
2009
IEEE
14 years 11 months ago
Stochastic Segment Modeling for Offline Handwriting Recognition
In this paper, we present a novel approach for incorporating structural information into the hidden Markov Modeling (HMM) framework for offline handwriting recognition. Traditiona...
Premkumar Natarajan, Krishna Subramanian, Anurag B...
ICASSP
2009
IEEE
15 years 8 months ago
Voronoi cell shaping for feature selection with discrete HMMs
In this paper, we introduce a novel vector quantization (VQ) scheme for distributing the quantization error equally among the quantized dimensions. Afterwards, the proposed VQ sch...
Joachim Schenk, Gerhard Rigoll
DICTA
2003
15 years 3 months ago
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
Nianjun Liu, Brian C. Lovell