1514 search results - page 51 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
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ICANN
2005
Springer
15 years 5 months ago
2005
Springer
Abstract. Radial basis function (RBF) kernels are widely used for support vector machines. But for model selection, we need to optimize the kernel parameter and the margin paramete...
SAINT
2003
IEEE
15 years 5 months ago
2003
IEEE
In this paper, we utilize a simple support vector machine to identify commercial electronic mail. The use of a personalized dictionary for model training provided a classification...
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COLT
1999
Springer
15 years 4 months ago
1999
Springer
—Support vector (SV) machines are linear classifiers that use the maximum margin hyperplane in a feature space defined by a kernel function. Until recently, the only bounds on th...
ICIP
2006
IEEE
16 years 1 months ago
2006
IEEE
This paper presents a statistical learning-based solution to the camera calibration problem in which the Support Vector Machines (SVM) are used for the estimation of the projectio...
IMSCCS
2006
IEEE
15 years 5 months ago
2006
IEEE
Multicategory Support Vector Machines (MC-SVM) are powerful classification systems with excellent performance in a variety of biological classification problems. However, the proc...