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164
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ICML
1998
IEEE
16 years 4 months ago
Employing EM and Pool-Based Active Learning for Text Classification
This paper shows how a text classifier's need for labeled training documents can be reduced by taking advantage of a large pool of unlabeled documents. We modify the Query-by...
Andrew McCallum, Kamal Nigam
173
Voted
ICIP
2009
IEEE
15 years 1 months ago
Optimization on active learning strategy for object category retrieval
Active learning is a framework that has attracted a lot of research interest in the content-based image retrieval (CBIR) in recent years. To be effective, an active learning syste...
David Gorisse, Matthieu Cord, Frédér...
127
Voted
ICCV
2009
IEEE
16 years 8 months ago
A Theory of Active Object Localization
We present some theoretical results related to the problem of actively searching for a target in a 3D environment, under the constraint of a maximum search time. We define the o...
Alexander Andreopoulos, John K. Tsotsos
146
Voted
SARA
2007
Springer
15 years 9 months ago
Active Learning of Dynamic Bayesian Networks in Markov Decision Processes
Several recent techniques for solving Markov decision processes use dynamic Bayesian networks to compactly represent tasks. The dynamic Bayesian network representation may not be g...
Anders Jonsson, Andrew G. Barto
ICIP
2002
IEEE
15 years 8 months ago
Representation of motion activity in hierarchical levels for video indexing and filtering
A method for video indexing and filtering based on motion activity characteristics in hierarchical levels is proposed. To extract motion activity information, an MPEG (MPEG-1/2) v...
Xinding Sun, Ajay Divakaran, B. S. Manjunath