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ACIVS
2005
Springer
15 years 6 months ago
Gender Classification in Human Gait Using Support Vector Machine
We describe an automated system that classifies gender by utilising a set of human gait data. The gender classification system consists of three stages: i) detection and extraction...
Jang-Hee Yoo, Doosung Hwang, Mark S. Nixon
68
Voted
DAGM
2005
Springer
15 years 6 months ago
Over-Complete Wavelet Approximation of a Support Vector Machine for Efficient Classification
Matthias Rätsch, Sami Romdhani, Gerd Teschke,...
68
Voted
GECCO
2005
Springer
126views Optimization» more  GECCO 2005»
15 years 6 months ago
Combating user fatigue in iGAs: partial ordering, support vector machines, and synthetic fitness
Xavier Llorà, Kumara Sastry, David E. Goldb...
58
Voted
ICANN
2005
Springer
15 years 6 months ago
Gene Extraction for Cancer Diagnosis by Support Vector Machines
Te Ming Huang, Vojislav Kecman
MCS
2005
Springer
15 years 6 months ago
Half-Against-Half Multi-class Support Vector Machines
A Half-Against-Half (HAH) multi-class SVM is proposed in this paper. Unlike the commonly used One-Against-All (OVA) and One-Against-One (OVO) implementation methods, HAH is built ...
Hansheng Lei, Venu Govindaraju