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» Finite State Automata and Image Recognition
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ICVGIP
2004
13 years 11 months ago
A Framework for Activity Recognition and Detection of Unusual Activities
In this paper we present a simple framework for activity recognition based on a model of multi-layered finite state machines, built on top of a low level image processing module f...
Dhruv Mahajan, Nipun Kwatra, Sumit Jain, Prem Kalr...
ICML
2005
IEEE
14 years 10 months ago
Recognition and reproduction of gestures using a probabilistic framework combining PCA, ICA and HMM
This paper explores the issue of recognizing, generalizing and reproducing arbitrary gestures. We aim at extracting a representation that encapsulates only the key aspects of the ...
Sylvain Calinon, Aude Billard
ICDAR
2003
IEEE
14 years 3 months ago
Handwritten Word Recognition based on Structural Characteristics and Lexical Support
In this paper a handwritten recognition algorithm based on structural characteristics, histograms and profiles, is presented. The well-known horizontal and vertical histograms are...
Ergina Kavallieratou, Kyriakos N. Sgarbas, Nikos F...
CORR
2007
Springer
100views Education» more  CORR 2007»
13 years 9 months ago
Interference Automata
We propose a computing model, the Two-Way Optical Interference Automata (2OIA), that makes use of the phenomenon of optical interference. We introduce this model to investigate th...
M. V. Panduranga Rao
ECML
2006
Springer
14 years 1 months ago
PAC-Learning of Markov Models with Hidden State
The standard approach for learning Markov Models with Hidden State uses the Expectation-Maximization framework. While this approach had a significant impact on several practical ap...
Ricard Gavaldà, Philipp W. Keller, Joelle P...