1403 search results - page 59 / 281 » Set cover algorithms for very large datasets |
HIS
2004
14 years 11 months ago
2004
Boosting is a general method for improving the accuracy of a learning algorithm. AdaBoost, short form for Adaptive Boosting method, consists of repeated use of a weak or a base le...
140
click to vote
CVPR
2012
IEEE
13 years 5 days ago
2012
IEEE
In this paper we study the problem of online aligning a newly arrived image to previously well-aligned images. Inspired by recent advances in batch image alignment using low rank ...
ICDM
2009
IEEE
15 years 4 months ago
2009
IEEE
Distribution data naturally arise in countless domains, such as meteorology, biology, geology, industry and economics. However, relatively little attention has been paid to data m...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
Clustering is a fundamental task in many vision applications. To date, most clustering algorithms work in a batch setting and training examples must be gathered in a large group b...
ICMCS
2005
IEEE
15 years 3 months ago
2005
IEEE
Training a good text detector requires a large amount of labeled data, which can be very expensive to obtain. Cotraining has been shown to be a powerful semi-supervised learning t...