Title :
A distributed parallel AdaBoost algorithm for face detection
Author :
Huang, ZheHuang ; Shi, Xiaodong
Author_Institution :
Sch. of Math. Sci., Huaqiao Univ., Quanzhou, China
Abstract :
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.
Keywords :
computational complexity; face recognition; learning (artificial intelligence); parallel algorithms; pattern classification; computational complexity; distributed parallel AdaBoost algorithm; face detection; machine learning algorithm; parallel processing technique; AdaBoost; Distributed computing; Face Detection; Parallel algorithm;
Conference_Titel :
Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
Conference_Location :
Xiamen
Print_ISBN :
978-1-4244-6582-8
DOI :
10.1109/ICICISYS.2010.5658736
