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Mostrando ítems 11-20 de 2499
A new approach to image segmentation with two-dimensional hidden Markov models
(2013)
Image segmentation is one of the fundamental
problems in computer vision. In this work, we present a new
segmentation algorithm that is based on the theory of twodimensional hidden Markov models (2D-HMM). Unlike most ...
Model selection using information criteria for hidden Markov principal components analysisSelección del modelo por criterios de información para análisis de componentes principales ocultas de markov
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
Hidden Markov models in dissimilarity spaces: alternatives for prototype selectionModelos ocultos de Markov en espacios de disimilaridad: Alternativas para la selección de prototipos
(Pereira : Universidad Tecnológica de PereiraFacultad de Ciencias Básicas, 2011)
MARKOV: a computer program for multistate Markov models with covariables
(ELSEVIER SCI PUBL IRELAND LTD, 1995)
Algoritmos de estimação para modelos Markovianos não-homogêneos
(Universidade Federal de São CarlosUFSCarPrograma Interinstitucional de Pós-Graduação em Estatística - PIPGEsCâmpus São Carlos, 2020-02-27)
Hidden Markov models are a statistical paradigm which can be used to mode stochastic processeswhere the observable values are directly dependent on a sequence of hidden random variables.In the context of the hidden Markov ...
Mathematical modeling for design thinking innovation method based on markov chain theory
(2019-03)
A mathematical modeling based on Markov chain to determine the probability of success related to an innovation process is presented. Based on the auto-evaluation of a particular user and certain innovation stages proposed, ...