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» Stochastic Motif Extraction Using Hidden Markov Model
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MICAI
2007
Springer
15 years 3 months ago
An EM Algorithm to Learn Sequences in the Wavelet Domain
The wavelet transform has been used for feature extraction in many applications of pattern recognition. However, in general the learning algorithms are not designed taking into acc...
Diego H. Milone, Leandro E. Di Persia
FGR
2000
IEEE
157views Biometrics» more  FGR 2000»
15 years 1 months ago
Hand Gesture Recognition Using Input-Output Hidden Markov Models
A new hand gesture recognition method based on Input– Output Hidden Markov Models is presented. This method deals with the dynamic aspects of gestures. Gestures are extracted fr...
Sébastien Marcel, Olivier Bernier, Jean-Emm...
ICIP
2004
IEEE
15 years 11 months ago
A hidden markov model framework for traffic event detection using video features
We present a novel approach for highway traffic event detection. Our algorithm extracts features directly from the compressed video and automatically detects traffic events using ...
Xiaokun Li, Fatih Murat Porikli
BMCBI
2010
123views more  BMCBI 2010»
14 years 4 months ago
Predicting conserved protein motifs with Sub-HMMs
Background: Profile HMMs (hidden Markov models) provide effective methods for modeling the conserved regions of protein families. A limitation of the resulting domain models is th...
Kevin Horan, Christian R. Shelton, Thomas Girke
DICTA
2003
14 years 11 months ago
Gesture Classification Using Hidden Markov Models and Viterbi Path Counting
Human-Machine interfaces play a role of growing importance as computer technology continues to evolve. Motivated by the desire to provide users with an intuitive gesture input syst...
Nianjun Liu, Brian C. Lovell