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» Boosting Object Detection Using Feature Selection
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117
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PAMI
2002
112views more  PAMI 2002»
15 years 2 months ago
Feature Space Trajectory Methods for Active Computer Vision
We advance new active object recognition algorithms that classify rigid objects and estimate their pose from intensity images. Our algorithms automatically detect if the class or p...
Michael A. Sipe, David Casasent
115
Voted
CVPR
2008
IEEE
16 years 4 months ago
Spatio-temporal Saliency detection using phase spectrum of quaternion fourier transform
Salient areas in natural scenes are generally regarded as the candidates of attention focus in human eyes, which is the key stage in object detection. In computer vision, many mod...
Chenlei Guo, Qi Ma, Liming Zhang
121
Voted
ICMCS
2005
IEEE
123views Multimedia» more  ICMCS 2005»
15 years 8 months ago
Improved face finding in visually challenging environments
Finding faces in visually challenging environments is crucial to many applications, such as audio-visual automatic speech recognition, video indexing, person recognition, and vide...
Jintao Jiang, Gerasimos Potamianos, Giridharan Iye...
143
Voted
ICDM
2007
IEEE
129views Data Mining» more  ICDM 2007»
15 years 4 months ago
Feature Selection for Nonlinear Kernel Support Vector Machines
An easily implementable mixed-integer algorithm is proposed that generates a nonlinear kernel support vector machine (SVM) classifier with reduced input space features. A single ...
Olvi L. Mangasarian, Gang Kou
126
Voted
MVA
2000
119views Computer Vision» more  MVA 2000»
15 years 3 months ago
Feature Ordering by Cross Validation for Face Detection
This paper presents the method to determine the order of feature (attention) points for face detection. The order of feature points is determined in terms of the classification ab...
Takio Kurita, Kazuhiro Hotta, Taketoshi Mishima