TY - GEN
T1 - Sex with support vector machines
AU - Moghaddam, Baback
AU - Yang, Ming Hsuan
PY - 2001
Y1 - 2001
N2 - Nonlinear Support Vector Machines (SVMs) are investigated for visual sex classification with low resolution "thumbnail" faces (21-by-12 pixels) processed from 1,755 images from the FERET face database. The performance of SVMs is shown to be superior to traditional pattern classifiers (Linear, Quadratic, Fisher Linear Discriminant, Nearest-Neighbor) as well as more modern techniques such as Radial Basis Function (RBF) classifiers and large ensemble-RBF networks. Furthermore, the SVM performance (3.4% error) is currently the best result reported in the open literature.
AB - Nonlinear Support Vector Machines (SVMs) are investigated for visual sex classification with low resolution "thumbnail" faces (21-by-12 pixels) processed from 1,755 images from the FERET face database. The performance of SVMs is shown to be superior to traditional pattern classifiers (Linear, Quadratic, Fisher Linear Discriminant, Nearest-Neighbor) as well as more modern techniques such as Radial Basis Function (RBF) classifiers and large ensemble-RBF networks. Furthermore, the SVM performance (3.4% error) is currently the best result reported in the open literature.
UR - http://www.scopus.com/inward/record.url?scp=2242485667&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=2242485667&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:2242485667
SN - 0262122413
SN - 9780262122412
T3 - Advances in Neural Information Processing Systems
BT - Advances in Neural Information Processing Systems 13 - Proceedings of the 2000 Conference, NIPS 2000
PB - Neural information processing systems foundation
T2 - 14th Annual Neural Information Processing Systems Conference, NIPS 2000
Y2 - 27 November 2000 through 2 December 2000
ER -