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AAAI
2000
13 years 9 months ago
Selective Sampling with Redundant Views
Selective sampling, a form of active learning, reduces the cost of labeling training data by asking only for the labels of the most informative unlabeled examples. We introduce a ...
Ion Muslea, Steven Minton, Craig A. Knoblock
CORR
2011
Springer
174views Education» more  CORR 2011»
13 years 2 months ago
Hide-and-Seek with Directional Sensing
: We consider a game played between a hider, who hides a static object in one of several possible positions in a bounded planar region, and a searcher who wishes to reach the objec...
Alessandro Borri, Shaunak Dattaprasad Bopardikar, ...
ICDE
2010
IEEE
167views Database» more  ICDE 2010»
13 years 8 months ago
Top-k pipe join
Abstract—In the context of service composition and orchestration, service invocation is typically scheduled according to execution plans, whose topology establishes whether diffe...
Davide Martinenghi, Marco Tagliasacchi
EPIA
2005
Springer
14 years 1 months ago
Adapting Peepholing to Regression Trees
This paper presents an adaptation of the peepholing method to regression trees. Peepholing was described as a means to overcome the major computational bottleneck of growing classi...
Luís Torgo, Joana Marques
CIVR
2003
Springer
107views Image Analysis» more  CIVR 2003»
14 years 1 months ago
Fast Video Retrieval under Sparse Training Data
Feature selection for video retrieval applications is impractical with existing techniques, because of their high time complexity and their failure on the relatively sparse trainin...
Yan Liu, John R. Kender