439 search results - page 1 / 88 » Weighted decomposition kernels |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We introduce a family of kernels on discrete data structures within the general class of decomposition kernels. A weighted decomposition kernel (WDK) is computed by dividing objec...
ML
2010
ACM
13 years 3 months ago
2010
ACM
Abstract The tensor kernel has been used across the machine learning literature for a number of purposes and applications, due to its ability to incorporate samples from multiple s...
ICB
2007
Springer
13 years 8 months ago
2007
Springer
The symmetrical decomposition is a powerful method to extract features for image recognition. It reveals the significant discriminative information from the mirror image of symmetr...
CVPR
2012
IEEE
11 years 7 months ago
2012
IEEE
This paper proposes a novel approach to recognize object categories in point clouds. By quantizing 3D SURF local descriptors, computed on partial 3D shapes extracted from the poin...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Low-rank matrix decompositions are essential tools in the application of kernel methods to large-scale learning problems. These decompositions have generally been treated as black...