1138 search results - page 8 / 228 » Scale-Time Kernels and Models |
ICPR
2010
IEEE
13 years 10 months ago
2010
IEEE
Multiple kernel learning (MKL) uses a weighted combination of kernels where the weight of each kernel is optimized during training. However, MKL assigns the same weight to a kerne...
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper presents a methodology to develop recursive filters in reproducing kernel Hilbert spaces (RKHS). Unlike previous approaches that exploit the kernel trick on filtered ...
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
The ability to normalize pose based on super-category landmarks can significantly improve models of individual categories when training data are limited. Previous methods have co...
ICLP
1990
Springer
13 years 11 months ago
1990
Springer
The logic programming language framework Kernel Andorra Prolog is de ned by a formal computation model. In Kernel Andorra Prolog, general combinations of concurrent reactive langu...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
Many unsupervised learning algorithms make use of kernels that rely on the Euclidean distance between two samples. However, the Euclidean distance is optimal for Gaussian distribut...