Result Details

libhmm: classification framework

Created: 2013
Type
software
Language
Czech
Authors
Zouhar David, Ing.
Mlích Jozef, Ing., DCGM (FIT)
Zemčík Pavel, prof. Dr. Ing., dr. h. c., UAMT (FEEC), DCGM (FIT)
Description

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.

English description

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.

Keywords

hmm, Viterbi, Baum Welsch, rozpoznání rukou psaného textu, klasifikator

English keywords

hmm, Viterbi, Baum Welsch, hand written text recognition, classifier

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License Conditions

Copyright (c) 2011 - 2012, Brno University of Technology, Antonínská 548/1, Brno 601 90, Czech Republic

All rights reserved.

Redistribution and use in source and binary forms, with or without modification, are permitted provided that the following conditions are met:

* Redistributions of source code must retain the above copyright notice, this list of conditions and the following disclaimer.
* Redistributions in binary form must reproduce the above copyright notice, this list of conditions and the following disclaimer in the documentation and/or other materials provided with the distribution.
* Neither the name of the Brno University of Technology nor the names of its contributors may be used to endorse or promote products derived from this software without specific prior written permission.

THIS SOFTWARE IS PROVIDED BY THE REGENTS AND CONTRIBUTORS ''AS IS'' AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH DAMAGE.

Projects
Advanced recognition and presentation of multimedia data, BUT, Vnitřní projekty VUT, FIT-S-11-2, start: 2011-01-01, end: 2013-12-31, completed
Centrum excelence IT4Innovations, MŠMT, Operační program Výzkum a vývoj pro inovace, ED1.1.00/02.0070, start: 2011-01-01, end: 2015-12-31, completed
Research groups
Departments
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