179 search results - page 1 / 36 » Active learning in very large databases |
MTA
2006
13 years 4 months ago
2006
Abstract. Query-by-example and query-by-keyword both suffer from the problem of "aliasing," meaning that example-images and keywords potentially have variable interpretat...
ICIP
2009
IEEE
13 years 2 months ago
2009
IEEE
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
BDA
2007
13 years 6 months ago
2007
In content-based retrieval, relevance feedback (RF) is a noticeable method for reducing the “semantic gap” between the low-level features describing the content and the usually...
ICPR
2000
IEEE
14 years 5 months ago
2000
IEEE
An algorithmfor data condensation using support vector machines (SVM's)is presented. The algorithm extracts datapoints lying close to the class boundaries,whichform a much re...
AIME
1997
Springer
13 years 8 months ago
1997
Springer
We used Machine Learning (ML) methods to learn the best decision rules to distinguish normal brain aging from the earliest stages of dementia using subsamples of 198 normal and 244...