Please use this identifier to cite or link to this item:
http://hdl.handle.net/10553/111492
| Title: | gpdsHMM: a hidden Markov model toolbox in the Matlab Enviromen | Authors: | David, S. Ferrer, Miguel A. Travieso, Carlos Manuel Alonso Hernández, Jesús Bernardino |
UNESCO Clasification: | 3307 Tecnología electrónica | Keywords: | Pattern recognition Hidden Markov Model Matlab Toolbox |
Issue Date: | 2004 | Conference: | Complex systems intelligence and modern technological applications, Cherbourg, France, 22 september 2004 | Abstract: | A Hidden Markov Model (HMM) Toolbox within the Matlab environment is presented. In this toolbox, the conventional techniques for the continuous and discrete HMM are developed for the training as well as for the test phases. The ability to make different groups of components for the vector pattern is provided. Multilabeling techniques for the discrete HMM is also provided. The toolbox includes procedures suitable for the classical applications based on the HMM, as pattern recognition, speech recognition and DNA sequence analysis. | URI: | http://hdl.handle.net/10553/111492 | Source: | Proceedings of Complex systems intelligence and modern technological applications, p. 476-479 |
| Appears in Collections: | Ponencias |
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