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Classication of Agricultural Fields in Satellite Images Using Two-Dimensional Hidden Markov Models
(2013)
Image segmentation is a key competence for many real life
applications such as precision agriculture. In this work we present an
approach to classify agricultural fields in noisy satellite images. We start
with the ...
Automatic detection of volcano-seismic events by modeling state and event duration in hidden Markov models
(Elsevier, 2016)
In this paper we propose an automatic volcano event detection system based on Hidden Markov Model (HMM) with state and event duration models. Since different volcanic events have different durations, therefore the state ...
Hidden photons in aharonov-bohm-type experiments
(2016)
We discuss the Aharonov-Bohm effect in the presence of hidden photons kinetically mixed with the ordinary electromagnetic photons. The hidden photon field causes a slight phase shift in the observable interference pattern. ...
A Simple Proposal for Sentiment Analysis on Movies Reviews with Hidden Markov Models
(SPRINGER INTERNATIONAL PUBLISHING AG, 2019)
Minimum classification error learning for sequential data in the wavelet domain
(Elsevier, 2010-12)
Wavelet analysis has found widespread use in signal processing and many classification tasks. Nevertheless, its use in dynamic pattern recognition have been much more restricted since most of wavelet models cannot handle ...
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 ...