Title :
SVM classification tree algorithm with application to face membership authentication
Author_Institution :
Knowledge Eng. & Discover Res. Inst., Auckland Univ. of Technol., New Zealand
Abstract :
To recognize an individual\´s membership in a face group, but without revealing the individual\´s identity and without restricting the members of group, this paper introduces an SVM classification tree algorithm conducting face membership authentication in terms of the "divide and conquer" strategy, and recognizing the membership in a face group whenever the member or the size of group changes dynamically. Compared with the previous SVM ensemble method and the traditional face identification method, the proposed SVM classification tree gets a very promising improvement in stability performance as the group size increases larger.
Keywords :
divide and conquer methods; face recognition; image classification; support vector machines; SVM classification tree algorithm; divide and conquer strategy; face identification method; face membership authentication; Authentication; Classification tree analysis; Electronic mail; Face recognition; Humans; Knowledge engineering; Partitioning algorithms; Stability; Support vector machine classification; Support vector machines;
Conference_Titel :
Neural Networks, 2004. Proceedings. 2004 IEEE International Joint Conference on
Print_ISBN :
0-7803-8359-1
DOI :
10.1109/IJCNN.2004.1379944