373 search results - page 4 / 75 » Variant Methods of Reduced Set Selection for Reduced Support... |
IJCNN
2008
IEEE
14 years 5 days ago
2008
IEEE
— We discuss sparse support vector machines (sparse SVMs) trained in the reduced empirical feature space. Namely, we select the linearly independent training data by the Cholesky...
ICPR
2006
IEEE
13 years 11 months ago
2006
IEEE
We investigated the geometrical complexity of several high-dimensional, small sample classification problems and its changes due to two popular feature selection procedures, forw...
ICMCS
2005
IEEE
13 years 11 months ago
2005
IEEE
This paper proposes a two-step methodology for improving the discriminatory power of Linear Discriminant Analysis (LDA) for video-based human face recognition. Results indicate th...
PR
2007
13 years 5 months ago
2007
Tuning SVM hyperparameters is an important step in achieving a high-performance learning machine. It is usually done by minimizing an estimate of generalization error based on the...
ICPR
2002
IEEE
14 years 6 months ago
2002
IEEE
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...