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» A PSO-based framework for dynamic SVM model selection
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ICCV
2001
IEEE
14 years 9 months ago
Topology Free Hidden Markov Models: Application to Background Modeling
Hidden Markov Models (HMMs) are increasingly being used in computer vision for applications such as: gesture analysis, action recognition from video, and illumination modeling. Th...
Bjoern Stenger, Visvanathan Ramesh, Nikos Paragios...
KI
2007
Springer
14 years 1 months ago
Bridging the Sense-Reasoning Gap Using DyKnow: A Knowledge Processing Middleware Framework
To achieve complex missions an autonomous unmanned aerial vehicle (UAV) operating in dynamic environments must have and maintain situational awareness. This can be achieved by cont...
Fredrik Heintz, Piotr Rudol, Patrick Doherty
SCALESPACE
2007
Springer
14 years 1 months ago
Segmentation Under Occlusions Using Selective Shape Prior
In this work, we address the problem of segmenting multiple objects, under possible occlusions, in a level set framework. A variational energy that incorporates a piecewise constan...
Sheshadri Thiruvenkadam, Tony F. Chan, Byung-Woo H...
CSL
2008
Springer
13 years 7 months ago
A stopping criterion for active learning
Active learning (AL) is a framework that attempts to reduce the cost of annotating training material for statistical learning methods. While a lot of papers have been presented on...
Andreas Vlachos
PPOPP
1999
ACM
13 years 11 months ago
Automatic Node Selection for High Performance Applications on Networks
A central problem in executing performance critical parallel and distributed applications on shared networks is the selection of computation nodes and communication paths for exec...
Jaspal Subhlok, Peter Lieu, Bruce Lowekamp