176 search results - page 1 / 36 » Learning with Transformation Invariant Kernels |
NIPS
2007
13 years 6 months ago
2007
This paper considers kernels invariant to translation, rotation and dilation. We show that no non-trivial positive definite (p.d.) kernels exist which are radial and dilation inv...
ICPR
2006
IEEE
14 years 6 months ago
2006
IEEE
We present here an approach for applying the technique of modeling data transformation manifolds for invariant learning with kernel methods. The approach is based on building a ke...
ML
2007
ACM
13 years 4 months ago
2007
ACM
In many learning problems prior knowledge about pattern variations can be formalized and beneficially incorporated into the analysis system. The corresponding notion of invarianc...
SCIA
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. We address the problem of incorporating transformation invariance in kernels for pattern analysis with kernel methods. We introduce a new class of kernels by so called Ha...
GFKL
2007
Springer
13 years 8 months ago
2007
Springer
Kernel methods offer a flexible toolbox for pattern analysis and machine learning. A general class of kernel functions which incorporates known pattern invariances are invariant d...