1824 search results - page 93 / 365 » Pose Classification Using Support Vector Machines |
CVPR
2004
IEEE
15 years 12 months ago
2004
IEEE
We assess the applicability of several popular learning methods for the problem of recognizing generic visual categories with invariance to pose, lighting, and surrounding clutter...
MCS
2005
Springer
15 years 3 months ago
2005
Springer
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 ...
ECAI
2004
Springer
15 years 3 months ago
2004
Springer
The standard SVM formulation for binary classification is based on the Hinge loss function, where errors are considered not correlated. Due to this, local information in the featu...
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ICANN
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
GECCO
2007
Springer
15 years 1 months ago
2007
Springer
Recently, evolutionary computation has been successfully integrated into statistical learning methods. A Support Vector Machine (SVM) using evolution strategies for its optimizati...