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» A Model Selection Approach for Local Learning
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IJCV
2008
241views more  IJCV 2008»
14 years 12 months ago
Object Class Recognition and Localization Using Sparse Features with Limited Receptive Fields
We investigate the role of sparsity and localized features in a biologically-inspired model of visual object classification. As in the model of Serre, Wolf, and Poggio, we first a...
Jim Mutch, David G. Lowe
COLING
2010
14 years 6 months ago
A Comparison of Models for Cost-Sensitive Active Learning
Active Learning (AL) is a selective sampling strategy which has been shown to be particularly cost-efficient by drastically reducing the amount of training data to be manually ann...
Katrin Tomanek, Udo Hahn
ICANNGA
2009
Springer
212views Algorithms» more  ICANNGA 2009»
15 years 6 months ago
Evolutionary Regression Modeling with Active Learning: An Application to Rainfall Runoff Modeling
Many complex, real world phenomena are difficult to study directly using controlled experiments. Instead, the use of computer simulations has become commonplace as a feasible alte...
Ivo Couckuyt, Dirk Gorissen, Hamed Rouhani, Eric L...
PCM
2004
Springer
99views Multimedia» more  PCM 2004»
15 years 5 months ago
An Online Learning Framework for Sports Video View Classification
Sports videos have special characteristics such as well-defined video structure, specialized sports syntax, and some canonical view types. In this paper, we proposed an online lear...
Jun Wu, Xian-Sheng Hua, Jianmin Li, Bo Zhang, Hong...
PPOPP
2009
ACM
16 years 12 days ago
Mapping parallelism to multi-cores: a machine learning based approach
The efficient mapping of program parallelism to multi-core processors is highly dependent on the underlying architecture. This paper proposes a portable and automatic compiler-bas...
Zheng Wang, Michael F. P. O'Boyle