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» Robust Feature Selection Algorithms
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ICPR
2002
IEEE
14 years 9 months ago
Automated Feature Registration for Robust Tracking Methods
Tracking people within a scene has been a longstanding challenge in the field of computer vision. A common approach involves matching the background against the incoming video str...
Shawn Arseneau, Jeremy R. Cooperstock
GLOBECOM
2007
IEEE
14 years 2 months ago
Robust Optimization for Selecting NetFlow Points of Measurement in an IP Network
— NetFlow is a solution to make an in-depth traffic analysis possible in IP networks. Most of the telecommunication operators have already deployed it, or intend to do so, for n...
Mustapha Bouhtou, Olivier Klopfenstein
CVPR
2006
IEEE
14 years 10 months ago
A Framework for Feature Selection for Background Subtraction
Background subtraction is a widely used paradigm to detect moving objects in video taken from a static camera and is used for various important applications such as video surveill...
Toufiq Parag, Ahmed M. Elgammal, Anurag Mittal
ICMI
2004
Springer
281views Biometrics» more  ICMI 2004»
14 years 1 months ago
Articulatory features for robust visual speech recognition
Visual information has been shown to improve the performance of speech recognition systems in noisy acoustic environments. However, most audio-visual speech recognizers rely on a ...
Kate Saenko, Trevor Darrell, James R. Glass
BMCBI
2005
118views more  BMCBI 2005»
13 years 7 months ago
Feature selection and classification for microarray data analysis: Evolutionary methods for identifying predictive genes
Background: In the clinical context, samples assayed by microarray are often classified by cell line or tumour type and it is of interest to discover a set of genes that can be us...
Thanyaluk Jirapech-Umpai, J. Stuart Aitken