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» Robust Feature Selection Algorithms
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CVPR
2007
IEEE
14 years 11 months ago
Detection and segmentation of moving objects in highly dynamic scenes
Detecting and segmenting moving objects in dynamic scenes is a hard but essential task in a number of applications such as surveillance. Most existing methods only give good resul...
Aurélie Bugeau, Patrick Pérez
SMA
2005
ACM
125views Solid Modeling» more  SMA 2005»
14 years 2 months ago
One-dimensional selections for feature-based data exchange
In the parametric feature based design paradigm, most features possess arguments that are subsets of the boundary of the current model, subsets defined interactively by user sele...
Ari Rappoport, Steven N. Spitz, Michal Etzion
LREC
2010
165views Education» more  LREC 2010»
13 years 10 months ago
Maximum Entropy Classifier Ensembling using Genetic Algorithm for NER in Bengali
In this paper, we propose classifier ensemble selection for Named Entity Recognition (NER) as a single objective optimization problem. Thereafter, we develop a method based on gen...
Asif Ekbal, Sriparna Saha
ACIVS
2009
Springer
14 years 1 months ago
Vehicle Tracking Using Geometric Features
Applications such as traffic surveillance require a real-time and accurate method for object tracking. We propose to represent scene observations with parabola segments with an alg...
Francis Deboeverie, Kristof Teelen, Peter Veelaert...
SIGMETRICS
1998
ACM
170views Hardware» more  SIGMETRICS 1998»
13 years 9 months ago
Better operating system features for faster network servers
Widely-used operating systems provide inadequate support for large-scale Internet server applications. Their algorithms and interfaces fail to e ciently support either event-drive...
Gaurav Banga, Peter Druschel, Jeffrey C. Mogul