440 search results - page 7 / 88 » A Fast Algorithm for Learning a Ranking Function from Large-... |
BMCBI
2010
13 years 8 months ago
2010
Background: This paper introduces the notion of optimizing different norms in the dual problem of support vector machines with multiple kernels. The selection of norms yields diff...
SDM
2009
SIAM
14 years 5 months ago
2009
SIAM
In this paper, we propose GAD (General Activity Detection) for fast clustering on large scale data. Within this framework we design a set of algorithms for different scenarios: (...
AIRS
2010
Springer
13 years 5 months ago
2010
Springer
This paper is concerned with a new task of ranking, referred to as "supplementary data assisted ranking", or "supplementary ranking" for short. Different from c...
ECCV
2008
Springer
14 years 9 months ago
2008
Springer
The application of semi-supervised learning algorithms to large scale vision problems suffers from the bad scaling behavior of most methods. Based on the Expectation Regularization...
ICDM
2009
IEEE
13 years 5 months ago
2009
IEEE
The amount of text data on the Internet is growing at a very fast rate. Online text repositories for news agencies, digital libraries and other organizations currently store gigaan...