1403 search results - page 27 / 281 » Sampling Techniques for Kernel Methods |
104
click to vote
ICPR
2004
IEEE
16 years 4 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...
114
click to vote
JUCS
2007
15 years 2 months ago
2007
: A novel support vector machine method for classification is presented in this paper. A modified kernel function based on the similarity metric and Riemannian metric is applied ...
123
click to vote
ICMLA
2008
15 years 4 months ago
2008
In order to overcome the computation and storage problem for large-scale data set, an efficient iterative method of Generalized Discriminant Analysis is proposed. Because sample v...
142
click to vote
NIPS
2004
15 years 4 months ago
2004
The computation and memory required for kernel machines with N training samples is at least O(N2 ). Such a complexity is significant even for moderate size problems and is prohibi...
128
click to vote
ICML
2004
IEEE
16 years 3 months ago
2004
IEEE
In kernel methods, an interesting recent development seeks to learn a good kernel from empirical data automatically. In this paper, by regarding the transductive learning of the k...