193 search results - page 6 / 39 » RANSAC-SVM for large-scale datasets |
NIPS
2007
13 years 10 months ago
2007
This paper investigates the application of randomized algorithms for large scale SVM learning. The key contribution of the paper is to show that, by using ideas random projections...
ECCV
2008
Springer
14 years 11 months ago
2008
Springer
This paper improves recent methods for large scale image search. State-of-the-art methods build on the bag-of-features image representation. We, first, analyze bag-of-features in 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...
SC
2005
ACM
14 years 2 months ago
2005
ACM
Parallel applications running on high-end computer systems manifest a complexity of performance phenomena. Tools to observe parallel performance attempt to capture these phenomena...
APWEB
2005
Springer
14 years 2 months ago
2005
Springer
The dramatic growth in the number and size of on-line information sources has fueled increasing research interest in the incremental subspace learning problem. In this paper, we pr...