126 search results - page 7 / 26 » Large Scale Multiple Kernel Learning |
RIVF
2008
13 years 11 months ago
2008
Complex biological data generated from various experiments are stored in diverse data types in multiple datasets. By appropriately representing each biological dataset as a kernel ...
CORR
2011
Springer
13 years 4 months ago
2011
Springer
There have been several recent advancements in Machine Learning community on the Entity Matching (EM) problem. However, their lack of scalability has prevented them from being app...
DAGM
2004
Springer
14 years 3 months ago
2004
Springer
The goal of our work is object categorization in real-world scenes. That is, given a novel image we want to recognize and localize unseen-before objects based on their similarity t...
SIGIR
2006
ACM
14 years 3 months ago
2006
ACM
Large scale learning is often realistic only in a semi-supervised setting where a small set of labeled examples is available together with a large collection of unlabeled data. In...
ECCV
2010
Springer
13 years 11 months ago
2010
Springer
We present an approach to multiscale image analysis. It hinges on an operative definition of texture that involves a "small region", where some (unknown) statistic is agg...