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» 2D Shape Recognition by Hidden Markov Models
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ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
13 years 11 months ago
Hidden Markov Model Based Weighted Likelihood Discriminant for Minimum Error Shape Classification
The goal of this communication is to present a weighted likelihood discriminant for minimum error shape classification. Different from traditional Maximum Likelihood (ML) methods...
Ninad Thakoor, Sungyong Jung, Jean Gao
ICPR
2002
IEEE
14 years 6 months ago
Facial Expression Recognition Using Pseudo 3-D Hidden Markov Models
In this paper pseudo 3-D Hidden Markov Models (P3DHMMs) are applied to the task of dynamic facial expression recognition. P3DHMMs are an extension of the pseudo 2-D case, which ha...
Frank Hülsken, Frank Wallhoff, Gerhard Rigoll...
SIGPRO
2008
155views more  SIGPRO 2008»
13 years 5 months ago
Recognition of off-line printed Arabic text using Hidden Markov Models
This paper describes a technique for automatic recognition of off-line printed Arabic text using Hidden Markov Models. In this work different sizes of overlapping and non-overlapp...
Husni A. Al-Muhtaseb, Sabri A. Mahmoud, Rami Qahwa...
JMLR
2006
143views more  JMLR 2006»
13 years 5 months ago
Segmental Hidden Markov Models with Random Effects for Waveform Modeling
This paper proposes a general probabilistic framework for shape-based modeling and classification of waveform data. A segmental hidden Markov model (HMM) is used to characterize w...
Seyoung Kim, Padhraic Smyth