Reinforced AdaBoost Learning for Object Detection with Local Pattern Representations
A reinforced AdaBoost learning algorithm is proposed for object detection with local pattern representations. In implementing Adaboost learning, the proposed algorithm employs an exponential criterion as a cost function and Newton’s method for its optimization. In particular, we introduce an optimal...
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Main Authors: | Younghyun Lee, David K. Han, Hanseok Ko |
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Format: | Article |
Language: | English |
Published: |
Wiley
2013-01-01
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Series: | The Scientific World Journal |
Online Access: | http://dx.doi.org/10.1155/2013/153465 |
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