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» Using Activity Theory to Model Context Awareness
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CVPR
1999
IEEE
1104views Computer Vision» more  CVPR 1999»
16 years 6 months ago
Geodesic Active Contours for Supervised Texture Segmentation
This paper presents a variational method for supervised texture segmentation, which is based on ideas coming from the curve propagation theory. We assume that a preferable texture...
Nikos Paragios, Rachid Deriche
GECCO
2007
Springer
230views Optimization» more  GECCO 2007»
15 years 10 months ago
Activation energy-based simulation for self-assembly of multi-shape tiles
Building artificial systems using self-assembly is one of the main issues of artificial life [17]. Scientists are trying to understand this process either using experimental appro...
Mostafa Mostafa Hashim Ellabaan
FLAIRS
2000
15 years 5 months ago
Actively Supporting Collaboration in Virtual Learning Environments
Collaboration between peers is an important aspect of the learning process and can considerably augment learning in studying complex domains. To ensure that peer collaboration occ...
Adrian Gordon, Lynne E. Hall
ICIP
2003
IEEE
16 years 5 months ago
Fast probabilistic snake algorithm
Few people use the probability theory in order to achieve image segmentation with snake models. In this article1 , we are presenting an active contour algorithm based on a probabi...
Jerome Gilles, Bertrand Collin
FLAIRS
2008
15 years 6 months ago
Learning a Probabilistic Model of Event Sequences from Internet Weblog Stories
One of the central problems in building broad-coverage story understanding systems is generating expectations about event sequences, i.e. predicting what happens next given some a...
Mehdi Manshadi, Reid Swanson, Andrew S. Gordon