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ICDAR
2003
IEEE
16 years 10 days ago
Optimizing the Number of States, Training Iterations and Gaussians in an HMM-based Handwritten Word Recognizer
In off-line handwriting recognition, classifiers based on hidden Markov models (HMMs) have become very popular. However, while there exist well-established training algorithms, s...
Simon Günter, Horst Bunke
135
Voted
ISMIR
2003
Springer
107views Music» more  ISMIR 2003»
16 years 7 days ago
Effectiveness of HMM-based retrieval on large databases
We have investigated the performance of a hidden Markov model QBH retrieval system on a large musical database. The database is synthetic, generated from statistics gleaned from o...
Jonah Shifrin, William P. Birmingham
ICARCV
2002
IEEE
126views Robotics» more  ICARCV 2002»
16 years 14 hour ago
Gesture recognition using a probabilistic framework for pose matching
This paper presents an approach for view-based recognition of gestures. The approach is based on representing each gesture as a sequence of learned body poses. The gestures are re...
Ahmed M. Elgammal, Vhay Shet, Yaser Yacoob, Larry ...
CONCUR
2001
Springer
15 years 11 months ago
Compositional Methods for Probabilistic Systems
Abstract. We present a compositional trace-based model for probabilistic systems. The behavior of a system with probabilistic choice is a stochasticprocess, namely, a probability d...
Luca de Alfaro, Thomas A. Henzinger, Ranjit Jhala
CP
2001
Springer
15 years 11 months ago
Partially Ordered Constraint Optimization Problems
The Constraint Problems usually addressed fall into one of two models: the Constraint Satisfaction Problem (CSP) and the Constraint Optimization Problem (COP). However, in many rea...
Marco Gavanelli