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Denoising and recognition using hidden Markov models with observation distributions modeled by hidden Markov trees
(Elsevier, 2010-04)
Hidden Markov models have been found very useful for a wide range of applications in machine learning and pattern recognition. The wavelet transform has emerged as a new tool for signal and image analysis. Learning models ...
Detection of Text Lines of Handwritten Arabic Manuscripts using Markov Decision Processes
In a character recognition systems, the segmentation phase is critical since the accuracy of the recognition depend strongly on it. In this paper we present an approach based on Markov Decision Processes to extract text ...
Administración algorítmica de portafolio con Hidden Markov models
(Universidad del RosarioMaestría en Finanzas CuantitativasFacultad de Economía, 2019)
Predictive control of a closed grinding circuit system in cement industry
(2018)
This paper presents the development of a nonlinear model predictive controller (NMPC) applied to a closed grinding circuit system in the cement industry. A Markov chain model is used to characterize the cement grinding ...
Flexible and practical modeling of animal telemetry data: Hidden Markov models and extensions
(Ecological Society of America, 2012-11-01)
We discuss hidden Markov-type models for fitting a variety of multistate random walks to wildlife movement data. Discrete-time hidden Markov models (HMMs) achieve considerable computational gains by focusing on observations ...