HMM This paper presents a hybrid framework of feat

Title: HMM

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AI-NN-PR
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51kb
Update:
2012-11-26
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rupesh

Description: This paper presents a hybrid framework of feature extraction and hidden Markov modeling (HMM) for two-dimensional pattern recognition. Importantly, we explore a new discriminative training criterion to assure model compactness and discriminability. This criterion is derived from the hypothesis test theory via maximizing the confidence of accepting the hypothesis that observations are from target HMM states rather than competing HMM states. Accordingly, we develop the maximum confidence hidden Markov modeling (MC-HMM) for face recognition.

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To Search: HMM in pattern recognition hmm face HMM face recognition matlab feature extraction by hmm model

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[081119] - MATLAB-based platform for the simulation
[VC-UsingDLL] - HMM, face detection, recognition
[multi-scale-wavelet-transform] - Using multi-scale wavelet transform in i
[imagedatabase] - This paper describes the static image co
[HMM_facerec] - Hidden Markov Model based face recogniti

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pudn1-HMM for image

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