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MVA
1996
13 years 10 months ago
Inductive Learning of Primitive Shape Features of Closed Contours
A method for inductivelearningof primitive features is proposed. Primitive features are well investigated and they are extracted in bottom-up manner fiom training set of patterns ...
Ichiro Murase, Shun'ichi Kaneko, Satoru Igarashi
EWCBR
2008
Springer
13 years 10 months ago
Recognizing the Enemy: Combining Reinforcement Learning with Strategy Selection Using Case-Based Reasoning
This paper presents CBRetaliate, an agent that combines Case-Based Reasoning (CBR) and Reinforcement Learning (RL) algorithms. Unlike most previous work where RL is used to improve...
Bryan Auslander, Stephen Lee-Urban, Chad Hogg, H&e...
CVPR
2008
IEEE
14 years 11 months ago
Filtering Internet image search results towards keyword based category recognition
In this work we aim to capitalize on the availability of Internet image search engines to automatically create image training sets from user provided queries. This problem is part...
Kamil Wnuk, Stefano Soatto
ACL
2010
13 years 7 months ago
A Framework for Figurative Language Detection Based on Sense Differentiation
Various text mining algorithms require the process of feature selection. High-level semantically rich features, such as figurative language uses, speech errors etc., are very prom...
Daria Bogdanova
TC
2008
13 years 9 months ago
A Novel Distributed Sensor Positioning System Using the Dual of Target Tracking
As one of the fundamental issues in wireless sensor networks (WSNs), the sensor localization problem has recently received extensive attention. In this work, we investigate this pr...
Liqiang Zhang, Qiang Cheng, Yingge Wang, Sherali Z...