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» Support Vector Machines with a Reject Option
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ICCV
2011
IEEE
12 years 5 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...
CVPR
2001
IEEE
14 years 7 months ago
Feature Reduction and Hierarchy of Classifiers for Fast Object Detection in Video Images
We present a two-step method to speed-up object detection systems in computer vision that use Support Vector Machines (SVMs) as classifiers. In a first step we perform feature red...
Bernd Heisele, Thomas Serre, Sayan Mukherjee, Toma...
ICPR
2002
IEEE
14 years 6 months ago
Combining SVM Classifiers for Handwritten Digit Recognition
In this paper, we investigate the advantages and weaknesses of various decision fusion schemes using statistical and rule-based reasoning. The cooperation schemes are applied on t...
Dejan Gorgevik, Dusan Cakmakov
AVBPA
2003
Springer
140views Biometrics» more  AVBPA 2003»
13 years 11 months ago
Combining SVM Classifiers for Multiclass Problem: Its Application to Face Recognition
Abstract. In face recognition, a simple classifier such as NNk − is frequently used. For a robust system, it is common to construct the multiclass classifier by combining the out...
Jaepil Ko, Hyeran Byun
DAGM
2006
Springer
13 years 9 months ago
Feature Selection for Automatic Image Annotation
Automatic image annotation empowers the user to search an image database using keywords, which is often a more practical option than a query-by-example approach. In this work, we p...
Lokesh Setia, Hans Burkhardt