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IJFCS
2008
49views more  IJFCS 2008»
14 years 11 months ago
A Markovian Approach for the Analysis of the gene Structure
Hidden Markov models (HMMs) are effective tools to detect series of statistically homogeneous structures, but they are not well suited to analyse complex structures. Numerous meth...
Christelle Melo de Lima, Laurent Gueguen, Christia...
CVIU
2006
222views more  CVIU 2006»
14 years 12 months ago
Conditional models for contextual human motion recognition
We present algorithms for recognizing human motion in monocular video sequences, based on discriminative Conditional Random Field (CRF) and Maximum Entropy Markov Models (MEMM). E...
Cristian Sminchisescu, Atul Kanaujia, Dimitris N. ...
AE
2001
Springer
15 years 4 months ago
Markov Random Field Modelling of Royal Road Genetic Algorithms
Abstract. Markov Random Fields (MRFs) 5] are a class of probabalistic models that have been applied for many years to the analysis of visual patterns or textures. In this paper, ou...
Deryck F. Brown, A. Beatriz Garmendia-Doval, John ...
SIBGRAPI
2000
IEEE
15 years 4 months ago
Brazilian Bank Check Handwritten Legal Amount Recognition
This paper presents a system that is being developed for the recognition of the handwritten legal amount in Brazilian bank checks. Our strategy used to approach the handwritten leg...
Cinthia Obladen de Almendra Freitas, Abdenaim El Y...
FGR
2011
IEEE
267views Biometrics» more  FGR 2011»
14 years 3 months ago
A dynamic approach to the recognition of 3D facial expressions and their temporal models
— In this paper we propose a method that exploits 3D motion-based features between frames of 3D facial geometry sequences for dynamic facial expression recognition. An expressive...
Georgia Sandbach, Stefanos Zafeiriou, Maja Pantic,...