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ICPR
2008
IEEE
16 years 1 months ago
A Hidden Markov Model-based continuous gesture recognition system for hand motion trajectory
In this paper, we propose an automatic system that recognizes both isolated and continuous gestures for Arabic numbers (0-9) in real-time based on Hidden Markov Model (HMM). To ha...
Mahmoud Elmezain, Ayoub Al-Hamadi, Jörg Appen...
FMCO
2009
Springer
161views Formal Methods» more  FMCO 2009»
15 years 4 months ago
The How and Why of Interactive Markov Chains
This paper reviews the model of interactive Markov chains (IMCs, for short), an extension of labelled transition systems with exponentially delayed transitions. We show that IMCs a...
Holger Hermanns, Joost-Pieter Katoen
ICDM
2003
IEEE
134views Data Mining» more  ICDM 2003»
15 years 12 months ago
Probabilistic User Behavior Models
We present a mixture model based approach for learning individualized behavior models for the Web users. We investigate the use of maximum entropy and Markov mixture models for ge...
Eren Manavoglu, Dmitry Pavlov, C. Lee Giles
NIPS
2000
15 years 8 months ago
Interactive Parts Model: An Application to Recognition of On-line Cursive Script
In this work, we introduce an Interactive Parts (IP) model as an alternative to Hidden Markov Models (HMMs). We tested both models on a database of on-line cursive script. We show...
Predrag Neskovic, Philip C. Davis, Leon N. Cooper
IJBRA
2006
107views more  IJBRA 2006»
15 years 6 months ago
Probabilistic models for biological sequences: selection and Maximum Likelihood estimation
: Probabilistic models for biological sequences (DNA and proteins) are frequently used in bioinformatics. We describe statistical tests designed to detect the order of dependency a...
Svetlana Ekisheva, Mark Borodovsky