37 search results - page 4 / 8 » Bootstrapping SVM Active Learning by Incorporating Unlabelle... |
CVPR
2004
IEEE
14 years 9 months ago
2004
IEEE
Image retrieval critically relies on the distance function used to compare a query image to images in the database. We suggest to learn such distance functions by training binary ...
ICPR
2002
IEEE
14 years 8 months ago
2002
IEEE
Learning Bayesian Belief Networks (BBN) from corpora and incorporating the extracted inferring knowledge with a Support Vector Machines (SVM) classifier has been applied to charac...
ICML
2006
IEEE
14 years 8 months ago
2006
IEEE
When given a small sample, we show that classification with SVM can be considerably enhanced by using a kernel function learned from the training data prior to discrimination. Thi...
ICIP
2007
IEEE
14 years 1 months ago
2007
IEEE
In relevance feedback, active learning is often used to alleviate the burden of labeling by selecting only the most informative data. Traditional data selection strategies often c...
TIP
2010
13 years 5 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...