595 search results - page 19 / 119 » Detecting Human Motion with Support Vector Machines |
KDD
2005
ACM
14 years 8 months ago
2005
ACM
We propose a simple yet potentially very effective way of visualizing trained support vector machines. Nomograms are an established model visualization technique that can graphica...
ECML
2004
Springer
14 years 1 months ago
2004
Springer
Support Vector Machines (SVM) have been extensively studied and have shown remarkable success in many applications. However the success of SVM is very limited when it is applied to...
KDD
2004
ACM
14 years 1 months ago
2004
ACM
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
ANNPR
2006
Springer
13 years 11 months ago
2006
Springer
Abstract. Decomposition techniques are used to speed up training support vector machines but for linear programming support vector machines (LP-SVMs) direct implementation of decom...
CDC
2009
IEEE
13 years 8 months ago
2009
IEEE
Classification problems in critical applications such as health care or security often require very high reliability because of the high costs of errors. In order to achieve this r...