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238
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TMI
2002
248views more  TMI 2002»
15 years 7 months ago
Adaptive Elastic Segmentation of Brain MRI via Shape Model Guided Evolutionary Programming
This paper presents a fully automated segmentation method for medical images. The goal is to localize and parameterize a variety of types of structure in these images for subsequen...
Alain Pitiot, Arthur W. Toga, Paul M. Thompson
ATAL
2011
Springer
14 years 7 months ago
Incentive design for adaptive agents
We consider a setting in which a principal seeks to induce an adaptive agent to select a target action by providing incentives on one or more actions. The agent maintains a belief...
Yiling Chen, Jerry Kung, David C. Parkes, Ariel D....
231
Voted
WSDM
2012
ACM
259views Data Mining» more  WSDM 2012»
14 years 3 months ago
Learning recommender systems with adaptive regularization
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
Steffen Rendle
347
Voted
ICDE
2009
IEEE
182views Database» more  ICDE 2009»
16 years 9 months ago
Adaptive Parallelization of Queries over Dependent Web Service Calls
We have developed a system to process database queries over composed data providing web services. The queries are transformed into execution plans containing an operator that invok...
Manivasakan Sabesan, Tore Risch
243
Voted
KDD
2007
ACM
276views Data Mining» more  KDD 2007»
16 years 8 months ago
Nonlinear adaptive distance metric learning for clustering
A good distance metric is crucial for many data mining tasks. To learn a metric in the unsupervised setting, most metric learning algorithms project observed data to a lowdimensio...
Jianhui Chen, Zheng Zhao, Jieping Ye, Huan Liu