Detail výsledku
libhmm: classification framework
Mlích Jozef, Ing., UPGM (FIT)
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEKT), UPGM (FIT)
C++ implementace Skrytých Markovových Modelů. Tato implementace obsahuje pro trénování Baum-Welschův algoritmus a pro vyhodnocování Viterbiho algoritmus. Umoňuje pracovat s modely obsahující jeden Gaussovský model s diagonální kovarianční maticí na každý stav.
C++ implementation of Hidden Markov Model classifier. In this implementation, each state of HMM consist of single multidimensional Gaussian with diagonal covariance matrix. The framework contains Baum-Welsch algorithm for training and Viterbi algorithm for classification.
hmm, Viterbi, Baum Welsch, rozpoznání rukou psaného textu, klasifikator
hmm, Viterbi, Baum Welsch, hand written text recognition, classifier
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Pokročilé rozpoznávání a prezentace multimediálních dat, VUT, Vnitřní projekty VUT, FIT-S-11-2, zahájení: 2011-01-01, ukončení: 2013-12-31, ukončen