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A new image segmentation framework based on two-dimensional hidden Markov models
(IOS Press, 2015-12)
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 two-dimensional hidden Markov models (2D-HMM). Unlike most ...
On Including Temporal Constraints In Viterbi Alignment For Speech Recognition In Noise
(IEEE, Piscataway, NJ, United States, 2001)
Maximum entropy-based reinforcement learning using a confidence measure in speech recognition for telephone speech
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2010)
In this paper, a novel confidence-based reinforcement learning (RL) scheme to correct observation log-likelihoods and to address the problem of unsupervised compensation with limited estimation data is proposed. A two-step ...
Maximum entropy-based reinforcement learning using a confidence measure in speech recognition for telephone speechIEEE TRANSACTIONS ON AUDIO, SPEECH, AND LANGUAGE PROCESSINGIEEE Trans. Audio Speech Lang. Process.
(IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2017)
Predicción de la tendencia con índices porcentuales de los precios de bolsa horarios del mercado eléctrico usando clasificadores con parámetros adaptativos y varias fuentes de información
(Universidad Tecnológica de PereiraFacultad de IngenieríasPereiraMaestría en Ingeniería Eléctrica, 2022)