150 search results - page 13 / 30 » Feature selection combining genetic algorithm and Adaboost c... |
CVPR
2004
IEEE
15 years 11 months ago
2004
IEEE
This paper gives an algorithm for detecting and reading text in natural images. The algorithm is intended for use by blind and visually impaired subjects walking through city scen...
CVPR
2001
IEEE
15 years 11 months ago
2001
IEEE
This paper describes a face detection approach via learning local features. The key idea is that local features, being manifested by a collection of pixels in a local region, are ...
100
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SAC
2008
ACM
14 years 8 months ago
2008
ACM
Achieving high classification accuracy is a major challenge in the diagnosis of cancer types based on gene expression profiles. These profiles are notoriously noisy in that a larg...
103
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ICDAR
2003
IEEE
15 years 3 months ago
2003
IEEE
Classifying an unknown input is a fundamental problem in pattern recognition. A common method is to define a distance metric between patterns and find the most similar pattern i...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
The selection of weak classifiers is critical to the success of boosting techniques. Poor weak classifiers do not perform better than random guess, thus cannot help decrease the t...