185 search results - page 6 / 37 » Learning with Few Examples by Transferring Feature Relevance |
162
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BDA
2007
14 years 11 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...
124
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CVPR
2009
IEEE
16 years 4 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
2004
IEEE
15 years 10 months ago
2004
IEEE
Text categorization algorithms usually represent documents as bags of words and consequently have to deal with huge numbers of features. Most previous studies found that the major...
SIGCSE
1990
ACM
15 years 1 months ago
1990
ACM
This paper presents a philosophy underlying CS-1 programming projects, and illustrates this philosophy with a concrete example. Integral to the philosophy is the use of Ada packag...
CIKM
2008
Springer
14 years 11 months ago
2008
Springer
In this work we try to bridge the gap often encountered by researchers who find themselves with few or no labeled examples from their desired target domain, yet still have access ...