DocumentCode
1697767
Title
Combining support vector machines for accurate face detection
Author
Buciu, I. ; Kotropoulos, C. ; Pitas, I.
Author_Institution
Dept. of Informatics, Aristotle Univ. of Thessaloniki, Greece
Volume
1
fYear
2001
fDate
6/23/1905 12:00:00 AM
Firstpage
1054
Abstract
The paper proposes the application of majority voting on the output of several support vector machines in order to select the most suitable learning machine for frontal face detection. The first experimental results indicate a significant reduction of the rate of false positive patterns
Keywords
feature extraction; learning automata; object detection; face detection; false positive patterns rate reduction; frontal face detection; learning machine; majority voting; pattern extraction; statistical learning theory; support vector machines; training data set; Computer vision; Detectors; Face detection; Face recognition; Humans; Machine learning; Neural networks; Support vector machines; Testing; Voting;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing, 2001. Proceedings. 2001 International Conference on
Conference_Location
Thessaloniki
Print_ISBN
0-7803-6725-1
Type
conf
DOI
10.1109/ICIP.2001.959230
Filename
959230
Link To Document