19 search results - page 1 / 4 » Learning Translation Invariant Kernels for Classification |
JMLR
2010
12 years 12 months ago
2010
Appropriate selection of the kernel function, which implicitly defines the feature space of an algorithm, has a crucial role in the success of kernel methods. In this paper, we co...
GFKL
2007
Springer
13 years 9 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...
BMVC
2010
13 years 3 months ago
2010
Kernel methods yield state-of-the-art performance in certain applications such as image classification and object detection. However, large scale problems require machine learning...
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...
IJON
2007
13 years 5 months ago
2007
We present in this paper a novel approach for shape description based on kernel principal component analysis (KPCA). The strength of this method resides in the similarity (rotatio...