Automatic Face Recognition System for Hidden Markov Model Techniques
InTech eBooks2011
Citations Over Time
Abstract
Hidden Markov Models (HMMs) are a class of statistical models used to characterize the observable properties of a signal. HMMs consist of two interrelated processes: (i) an underlying, unobservable Markov chain with a finite number of states governed by a state transition probability matrix and an initial state probability distribution, and (ii) a set of
Related Papers
- → Face recognition using eigenfaces(2002)5,200 cited
- → Hidden Markov Model(2015)3 cited
- → SAFETY ASSESSMENT FOR SAFETY-CRITICAL SYSTEMS USING MARKOV CHAIN MODULAR APPROACH(2011)6 cited
- → Improved hidden Markov model for speech recognition and POS tagging(2012)5 cited
- → Hidden Markov Model ( HMM , Hidden Semi‐Markov Models, Profile Hidden Markov Models, Training of Hidden Markov Models, Dynamic Programming, Pair Hidden Markov Models)(2004)2 cited