2388 search results - page 2 / 478 » Kernel information embeddings |
IEEECIT
2006
IEEE
14 years 1 months ago
2006
IEEE
Runtime modification of kernel code is a difficult problem. However, the need of modifiable kernel is increasing because new requirements and services that are unanticipated at th...
CVPR
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper, we present a kernel-based approach to the clustering of diffusion tensors and fiber tracts. We propose to use a Mercer kernel over the tensor space where both spati...
ICML
2002
IEEE
14 years 8 months ago
2002
IEEE
Kernel-based learning algorithms work by embedding the data into a Euclidean space, and then searching for linear relations among the embedded data points. The embedding is perfor...
IPM
2008
13 years 7 months ago
2008
Extracting semantic relationships between entities from text documents is challenging in information extraction and important for deep information processing and management. This ...
COLT
2008
Springer
13 years 9 months ago
2008
Springer
A Hilbert space embedding for probability measures has recently been proposed, with applications including dimensionality reduction, homogeneity testing and independence testing. ...