A Distributed Parallel AdaBoost Algorithm for Face Detection

摘要：

AdaBoost is an excellent machine-learning algorithm, which produces a strong classifier by selecting the discriminating features and combining them linearly. But the computational complexity of AdaBoost algorithms is very high that restricts its studies and applications. In this paper we utilize parallel processing techniques to implement the parallel algorithm based on AdaBoost. The experiment results show the parallel algorithm can reduce the run time and has a high speedup.

关键词： AdaBoost Face Detection Parallel algorithm Distributed computing

作者: ZheHuang Huang Xiaodong Shi

作者单位: School of Mathematics Sciences , Huaqiao University Quanzhou, 362021 Cognitive Science Department, X Cognitive Science Department Xiamen University, Xiamen,361005, China Fujian Key Laboratory of the Br

会议类型: 国际会议

会议名称: 2010 IEEE International Conference on Intelligent Computing and Intelligent Systems(2010 IEEE 智能计算与智能系统国际会议 ICIS 2010)

会议地点: 厦门

会议语种:英文

页码: 147-150

在线出版日期: 2010-10-29（万方平台首次上网日期，不代表论文的发表时间）