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» Fitting hidden Markov models to psychological data
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PRL
2006
191views more  PRL 2006»
13 years 7 months ago
Applications of hidden Markov models in bar code decoding
We present a novel approach to edge detection in bar code signals using a hidden Markov model (HMM). We also present an algorithm for selection of an optimal filter scale used in ...
S. Kresic-Juric, D. Madej, Fadil Santosa
SSPR
2004
Springer
14 years 26 days ago
Tracking the Evolution of a Tennis Match Using Hidden Markov Models
The creation of a cognitive perception systems capable of inferring higher-level semantic information from low-level feature and event information for a given type of multimedia co...
Ilias Kolonias, William J. Christmas, Josef Kittle...
ICPR
2002
IEEE
14 years 8 months ago
A Two Level Classifier Process for Audio Segmentation
We are dealing in this paper with audio segmentation. We propose a two level segmentation process that enables the audio tracks to be sampled in short sequences which are classifi...
Benjamin Maillard, Nicole Vincent, Sébastie...
BMCBI
2008
170views more  BMCBI 2008»
13 years 7 months ago
Implementing EM and Viterbi algorithms for Hidden Markov Model in linear memory
Background: The Baum-Welch learning procedure for Hidden Markov Models (HMMs) provides a powerful tool for tailoring HMM topologies to data for use in knowledge discovery and clus...
Alexander G. Churbanov, Stephen Winters-Hilt
CORR
2010
Springer
168views Education» more  CORR 2010»
13 years 5 months ago
Gaussian Process Structural Equation Models with Latent Variables
In a variety of disciplines such as social sciences, psychology, medicine and economics, the recorded data are considered to be noisy measurements of latent variables connected by...
Ricardo Silva