959 search results - page 11 / 192 » Three Features for Component Frameworks |
AGENTS
2001
Springer
14 years 29 days ago
2001
Springer
The CASA architecture describes a platform for the provisioning of services by agents by supporting three levels of agent design. At the base level is a framework to build an agen...
TMI
2008
13 years 8 months ago
2008
Abstract--Due to the significant complexity of membrane morphology and the generally poor image quality in electron tomographic volumes, current automatic methods for segmentation ...
IJCV
2006
13 years 8 months ago
2006
Subspacefacerecognitionoftensuffersfromtwoproblems:(1)thetrainingsamplesetissmallcompared with the high dimensional feature vector; (2) the performance is sensitive to the subspace...
NIPS
2008
13 years 10 months ago
2008
Kernel Principal Component Analysis (KPCA) is a popular generalization of linear PCA that allows non-linear feature extraction. In KPCA, data in the input space is mapped to highe...
ICPR
2004
IEEE
14 years 9 months ago
2004
IEEE
"Learning with side-information" is attracting more and more attention in machine learning problems. In this paper, we propose a general iterative framework for relevant...