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175
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ICCV
2001
IEEE
16 years 8 months ago
Pairwise Face Recognition
We develop a pairwise classification framework for face recognition, in which a class face recognition problem is divided into a set of ? ?? ? two class problems. Such a problem...
Guodong Guo, HongJiang Zhang, Stan Z. Li
ICASSP
2008
IEEE
16 years 1 months ago
Hierarchical lane detection for different types of roads
This paper presents a hierarchical lane detection system with the ability to deal with both structured and unstructured roads. The proposed system classifies the environment first...
Hsu-Yung Cheng, Chih-Chang Yu, Chien-Cheng Tseng, ...
183
Voted
IJCNN
2007
IEEE
16 years 1 months ago
Two-stage Multi-class AdaBoost for Facial Expression Recognition
— Although AdaBoost has achieved great success, it still suffers from following problems: (1) the training process could be unmanageable when the number of features is extremely ...
Hongbo Deng, Jianke Zhu, Michael R. Lyu, Irwin Kin...
GECCO
2007
Springer
187views Optimization» more  GECCO 2007»
16 years 26 days ago
Defining implicit objective functions for design problems
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
Sean Hanna
CVPR
2005
IEEE
16 years 10 days ago
Jensen-Shannon Boosting Learning for Object Recognition
In this paper, we propose a novel learning method, called Jensen-Shannon Boosting (JSBoost) and demonstrate its application to object recognition. JSBoost incorporates Jensen-Shan...
Xiangsheng Huang, Stan Z. Li, Yangsheng Wang