90 search results - page 8 / 18 » Semi-Supervised Learning with Very Few Labeled Training Exam... |
CVPR
2009
IEEE
15 years 2 months ago
2009
IEEE
We study the problem of object classification when training
and test classes are disjoint, i.e. no training examples of
the target classes are available. This setup has hardly be...
ICML
2008
IEEE
14 years 8 months ago
2008
IEEE
Finding good representations of text documents is crucial in information retrieval and classification systems. Today the most popular document representation is based on a vector ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Supervised learning is difficult with high dimensional input spaces and very small training sets, but accurate classification may be possible if the data lie on a low-dimensional ...
AAAI
2004
13 years 8 months ago
2004
Traditionally, text classifiers are built from labeled training examples. Labeling is usually done manually by human experts (or the users), which is a labor intensive and time co...
CVPR
2007
IEEE
14 years 9 months ago
2007
IEEE
We present an unsupervised method for learning a hierarchy of sparse feature detectors that are invariant to small shifts and distortions. The resulting feature extractor consists...