314 search results - page 19 / 63 » Active Learning with Irrelevant Examples |
128
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CVPR
2007
IEEE
15 years 3 months ago
2007
IEEE
Interactively learning from a small sample of unlabeled examples is an enormously challenging task, one that often arises in vision applications. Relevance feedback and more recen...
101
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ICANN
2007
Springer
15 years 3 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
ECIR
2008
Springer
15 years 1 months ago
2008
Springer
Concept indexing in multimedia libraries is very useful for users searching and browsing but it is a very challenging research problem as well. Beyond the systems' implementat...
ICITA
2005
IEEE
15 years 5 months ago
2005
IEEE
Small-sample learning in image retrieval is a pertinent and interesting problem. Relevance feedback is an active area of research that seeks to find algorithms that are robust wi...
ECML
2005
Springer
15 years 5 months ago
2005
Springer
Active selection of good training examples is an important approach to reducing data-collection costs in machine learning; however, most existing methods focus on maximizing classi...