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CVPR
2009
IEEE
1133views Computer Vision» more  CVPR 2009»
15 years 2 months ago
Hierarchical Spatio-Temporal Context Modeling for Action Recognition
The problem of recognizing actions in realistic videos is challenging yet absorbing owing to its great potentials in many practical applications. Most previous research is limit...
Jintao Li, Ju Sun, Loong Fah Cheong, Shuicheng Yan...
ICAT
2003
IEEE
14 years 24 days ago
A Formalism and a Tool for Diverging Requirements in VR Scenario Modeling
Any VR scenario should offer a certain degree of nonlinearity or openness regarding the story progress as a consequence of the interaction with the user. In this paper we propose ...
Richard Wages, Benno Grützmacher, Georg Troge...
MMM
2012
Springer
313views Multimedia» more  MMM 2012»
12 years 3 months ago
Combining Image-Level and Segment-Level Models for Automatic Annotation
Abstract. For the task of assigning labels to an image to summarize its contents, many early attempts use segment-level information and try to determine which parts of the images c...
Daniel Küttel, Matthieu Guillaumin, Vittorio ...
SEKE
2004
Springer
14 years 26 days ago
Grammatically Interpreting Feature Compositions
Feature modeling is a popular domain analysis method for describing the commonality and variability among the domain products. The current formalisms of feature modelling do not ha...
Wei Zhao, Barrett R. Bryant, Fei Cao, Rajeev R. Ra...
GECCO
2009
Springer
159views Optimization» more  GECCO 2009»
14 years 4 days ago
Bayesian network structure learning using cooperative coevolution
We propose a cooperative-coevolution – Parisian trend – algorithm, IMPEA (Independence Model based Parisian EA), to the problem of Bayesian networks structure estimation. It i...
Olivier Barrière, Evelyne Lutton, Pierre-He...