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» Hidden Markov Model Variants and their Application
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FGR
2000
IEEE
167views Biometrics» more  FGR 2000»
15 years 1 months 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
81
Voted
NIPS
2001
14 years 11 months ago
Dynamic Time-Alignment Kernel in Support Vector Machine
A new class of Support Vector Machine (SVM) that is applicable to sequential-pattern recognition such as speech recognition is developed by incorporating an idea of non-linear tim...
Hiroshi Shimodaira, K.-I. Noma, Mitsuru Nakai, Shi...
ICWS
2010
IEEE
14 years 8 months ago
Evaluating the Survivability of SOA Systems Based on HMM
Survivability is a crucial property for computer systems that support critical infrastructures of our society. A variety of survivability definitions and evaluation methods for t...
Leilei Chen, Qing Wang, Wei Xu, Liang Zhang
93
Voted
ICASSP
2009
IEEE
14 years 7 months ago
Phoneme cluster based state mapping for text-independent voice conversion
This paper takes phonetic information into account for data alignment in text-independent voice conversion. Hidden Markov Models are used for representing the phonetic structure o...
Meng Zhang, Jiaohua Tao, Jani Nurminen, Jilei Tian...
PERCOM
2007
ACM
15 years 9 months ago
Sensor Scheduling for Optimal Observability Using Estimation Entropy
We consider sensor scheduling as the optimal observability problem for partially observable Markov decision processes (POMDP). This model fits to the cases where a Markov process ...
Mohammad Rezaeian