963 search results - page 52 / 193 » Active Learning by Labeling Features |
CVPR
2009
IEEE
15 years 4 months ago
2009
IEEE
In this paper, we present a multi-label sparse coding
framework for feature extraction and classification within
the context of automatic image annotation. First, each image
is ...
ICPR
2004
IEEE
14 years 10 months ago
2004
IEEE
In this paper, a new selective sampling method for the active learning framework is presented. Initially, a small training set ? and a large unlabeled set ? are given. The goal is...
AAAI
2011
12 years 9 months ago
2011
A common approach in machine learning is to use a large amount of labeled data to train a model. Usually this model can then only be used to classify data in the same feature spac...
GFKL
2007
Springer
14 years 3 months ago
2007
Springer
Abstract. A central task when integrating data from different sources is to detect identical items. For example, price comparison websites have to identify offers for identical p...
CORR
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. We tackle the problem of multi-class relational sequence learning using relevant patterns discovered from a set of labelled sequences. To deal with this problem, firstly...