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» Nomograms for visualizing support vector machines
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ECML
2004
Springer
14 years 1 months ago
Improving Random Forests
Random forests are one of the most successful ensemble methods which exhibits performance on the level of boosting and support vector machines. The method is fast, robust to noise,...
Marko Robnik-Sikonja
ICMCS
2007
IEEE
140views Multimedia» more  ICMCS 2007»
14 years 2 months ago
Suspicious Behavior Detection in Public Transport by Fusion of Low-Level Video Descriptors
Recently great interest has been shown in the visual surveillance of public transportation systems. The challenge is the automated analysis of passenger’s behaviors with a set o...
Dejan Arsic, Björn Schuller, Gerhard Rigoll
ICIP
2010
IEEE
13 years 5 months ago
Natural DCT statistics approach to no-reference image quality assessment
General-purpose no-reference image quality assessment approaches still lag the advances in full-reference methods. Most no-reference methods are either distortion specific (i.e. t...
Michele A. Saad, Alan C. Bovik, Christophe Charrie...
MLDM
2005
Springer
14 years 1 months ago
An Automatic Face Recognition System in the Near Infrared Spectrum
Face recognition is a challenging visual classification task, especially when the lighting conditions can not be controlled. In this paper, we present an automatic face recognitio...
Shuyan Zhao, Rolf-Rainer Grigat
ICCV
2011
IEEE
12 years 7 months ago
What Characterizes a Shadow Boundary under the Sun and Sky?
Despite decades of study, robust shadow detection remains difficult, especially within a single color image. We describe a new approach to detect shadow boundaries in images of o...
Xiang Huang, Gang Hua, Jack Tumblin, Lance William...