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» Hybrid Hidden Markov Model for Face Recognition
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ICPR
2008
IEEE
14 years 3 months ago
Face age estimation using patch-based hidden Markov model supervectors
Recent studies in patch-based Gaussian Mixture Model (GMM) approaches for face age estimation present promising results. We propose using a hidden Markov model (HMM) supervector t...
Xiaodan Zhuang, Xi Zhou, Mark Hasegawa-Johnson, Th...
ICPR
2000
IEEE
14 years 9 months ago
Improved Degraded Document Recognition with Hybrid Modeling Techniques and Character N-Grams
In this paper a robust multifont character recognition system for degraded documents such as photocopy or fax is described. The system is based on Hidden Markov Models (HMMs) usin...
Anja Brakensiek, Daniel Willett, Gerhard Rigoll
ICML
2008
IEEE
14 years 9 months ago
Modeling interleaved hidden processes
Hidden Markov models assume that observations in time series data stem from some hidden process that can be compactly represented as a Markov chain. We generalize this model by as...
Niels Landwehr
FGR
2000
IEEE
167views Biometrics» more  FGR 2000»
14 years 4 days ago
Comparison of Confidence Measures for Face Recognition
This paper compares different confidence measures for the results of statistical face recognition systems. The main applications of a confidence measure are rejection of unknown p...
Stefan Eickeler, Mirco Jabs, Gerhard Rigoll
ICASSP
2011
IEEE
13 years 8 days ago
Large vocabulary continuous speech recognition with context-dependent DBN-HMMS
The context-independent deep belief network (DBN) hidden Markov model (HMM) hybrid architecture has recently achieved promising results for phone recognition. In this work, we pro...
George E. Dahl, Dong Yu, Li Deng, Alex Acero