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ICDAR
2009
IEEE
14 years 3 months ago
Learning Rich Hidden Markov Models in Document Analysis: Table Location
Hidden Markov Models (HMM) are probabilistic graphical models for interdependent classification. In this paper we experiment with different ways of combining the components of an ...
Ana Costa e Silva
VMV
2008
197views Visualization» more  VMV 2008»
13 years 10 months ago
1-2-tree: Semantic Modeling and Editing of Trees
In computer graphics, procedural methods and Lsystems are common approaches to model complex botanical trees. In contrast to previous tree modeling systems, we propose linking rul...
Björn Ganster, Reinhard Klein
FGR
2011
IEEE
198views Biometrics» more  FGR 2011»
13 years 7 days ago
The optimal camera arrangement by a performance model for gait recognition
— Recently, many gait recognition algorithms are proposed, and the optimal camera arrangement is necessary to maximize the performance. In this paper, we propose the optimal came...
Naoki Akae, Yasushi Makihara, Yasushi Yagi
ECSQARU
2005
Springer
14 years 2 months ago
Multiple Semi-revision in Possibilistic Logic
Semi-revision is a model of belief change that differs from revision in that a new formula is not always accepted. Later, Fuhrmann defined multiple semi-revision by replacing a n...
Guilin Qi, Weiru Liu, David A. Bell
ICPR
2000
IEEE
14 years 9 months ago
Motion Field Histograms for Robust Modeling of Facial Expressions
This paper presents motion field histograms as a new way of extracting facial features and modeling expressions. Feature are based on local receptive field histograms, which are r...
Tanzeem Choudhury, Alex Pentland