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ICIP
2006
IEEE
15 years 11 months ago
Precision-Oriented Active Selection for Interactive Image Retrieval
Active learning methods have been considered with an increased interest in the content-based image retrieval (CBIR) community. Those methods used to be based on classical classifi...
Philippe Henri Gosselin, Matthieu Cord
CLUSTER
2002
IEEE
14 years 9 months ago
Location Selection for Active Services
Active services are application-specified programs that are executed inside the network. The location where the active service is executed plays an important role. The dynamic beha...
Roger Karrer, Thomas R. Gross
BC
2004
133views more  BC 2004»
14 years 9 months ago
Coevolution of active vision and feature selection
We show that complex visual tasks, such as position- and size-invariant shape recognition and navigation in the environment, can be tackled with simple architectures generated by a...
Dario Floreano, Toshifumi Kato, Davide Marocco, Er...
ECIR
2007
Springer
14 years 11 months ago
Active Learning with History-Based Query Selection for Text Categorisation
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obta...
Michael Davy, Saturnino Luz
ICPR
2008
IEEE
15 years 11 months ago
Active query selection for semi-supervised clustering
Semi-supervised clustering allows a user to specify available prior knowledge about the data to improve the clustering performance. A common way to express this information is in ...
Anil K. Jain, Pavan Kumar Mallapragada, Rong Jin