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» A Regularization Approach to Metrical Task Systems
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JDA
2006
77views more  JDA 2006»
13 years 5 months ago
On Multi-threaded Metrical Task Systems
Traditionally, on-line problems have been studied under the assumption that there is a unique sequence of requests that must be served. This approach is common to most general mod...
Esteban Feuerstein, Steven S. Seiden, Alejandro St...
MMS
2006
13 years 5 months ago
Collaborative image retrieval via regularized metric learning
In content-based image retrieval (CBIR), relevant images are identified based on their similarities to query images. Most CBIR algorithms are hindered by the semantic gap between ...
Luo Si, Rong Jin, Steven C. H. Hoi, Michael R. Lyu
ICCBR
1999
Springer
13 years 9 months ago
When Experience Is Wrong: Examining CBR for Changing Tasks and Environments
Case-based problem-solving systems reason and learn from experiences, building up case libraries of problems and solutions to guide future reasoning. The expected bene ts of this l...
David B. Leake, David C. Wilson
TVCG
2010
157views more  TVCG 2010»
13 years 3 months ago
Metric-Driven RoSy Field Design and Remeshing
—Designing rotational symmetry fields on surfaces is an important task for a wide range of graphics applications. This work introduces a rigorous and practical approach for auto...
Yu-Kun Lai, Miao Jin, Xuexiang Xie, Ying He 0001, ...
ICCV
2007
IEEE
14 years 7 months ago
Locally Smooth Metric Learning with Application to Image Retrieval
In this paper, we propose a novel metric learning method based on regularized moving least squares. Unlike most previous metric learning methods which learn a global Mahalanobis d...
Dit-Yan Yeung, Hong Chang