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» On the design of robust classifiers for computer vision
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ICPR
2008
IEEE
14 years 1 months ago
Investigating the separability of features from different views for gait based gender classification
In this paper, we investigate the efficiency of different view angles when classifying gender with gait biometrics for the first time. A gait database is built for this purpose in...
De Zhang, Yunhong Wang
ECCV
2002
Springer
14 years 9 months ago
A Tale of Two Classifiers: SNoW vs. SVM in Visual Recognition
Numerous statistical learning methods have been developed for visual recognition tasks. Few attempts, however, have been made to address theoretical issues, and in particular, stud...
Ming-Hsuan Yang, Dan Roth, Narendra Ahuja
ECCV
2004
Springer
14 years 9 months ago
Multiple Classifier System Approach to Model Pruning in Object Recognition
We propose a multiple classifier system approach to object recognition in computer vision. The aim of the approach is to use multiple experts successively to prune the list of cand...
Josef Kittler, Alireza Ahmadyfard
CVPR
2004
IEEE
14 years 9 months ago
Random Sampling LDA for Face Recognition
Linear Discriminant Analysis (LDA) is a popular feature extraction technique for face recognition. However, It often suffers from the small sample size problem when dealing with t...
Xiaogang Wang, Xiaoou Tang
EUSAI
2003
Springer
14 years 21 days ago
Applications of Vision-Based Attention-Guided Perceptive Devices to Aware Environments
This paper discusses a computer vision based approach for enhancing a physical environment with machine perception. Using techniques for assessing the distance and orientation of a...
Bogdan Raducanu, Panos Markopoulos