Sciweavers

29 search results - page 4 / 6
» Support Vector Machines with a Reject Option
Sort
View
114
Voted
ICCV
2011
IEEE
14 years 1 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...
145
Voted
CVPR
2001
IEEE
16 years 3 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...
101
Voted
ICPR
2002
IEEE
16 years 2 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
114
Voted
AVBPA
2003
Springer
140views Biometrics» more  AVBPA 2003»
15 years 6 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
15 years 4 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