512 search results - page 1 / 103 » Tangent Distance Kernels for Support Vector Machines |
ICPR
2002
IEEE
13 years 10 months ago
2002
IEEE
When dealing with pattern recognition problems one encounters different types of a-priori knowledge. It is important to incorporate such knowledge into the classification method ...
ICPR
2004
IEEE
14 years 6 months ago
2004
IEEE
This paper presents an application of the general sample-to-object approach to the problem of invariant image classification. The approach results in defining new SVM kernels base...
PRL
2006
13 years 5 months ago
2006
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
IJCNN
2008
IEEE
13 years 11 months ago
2008
IEEE
— Effective use of support vector machines (SVMs) in classification necessitates the appropriate choice of a kernel. Designing problem specific kernels involves the definition...
ESANN
2007
13 years 6 months ago
2007
Imprecision, incompleteness, prior knowledge or improved learning speed can motivate interval–represented data. Most approaches for SVM learning of interval data use local kernel...