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SDM
2012
SIAM
322views Data Mining» more  SDM 2012»
13 years 6 days ago
Adaptive Multi-task Sparse Learning with an Application to fMRI Study
In this paper, we consider the multi-task sparse learning problem under the assumption that the dimensionality diverges with the sample size. The traditional l1/l2 multi-task lass...
Xi Chen, Jingrui He, Rick Lawrence, Jaime G. Carbo...
PR
2006
141views more  PR 2006»
14 years 9 months ago
Relaxational metric adaptation and its application to semi-supervised clustering and content-based image retrieval
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
Hong Chang, Dit-Yan Yeung, William K. Cheung
ISORC
1999
IEEE
15 years 2 months ago
An Adaptive Scheduling Approach in Real-Time CORBA
CORBA is an emerging middleware infrastructure with open standardization that is receiving a good acceptance since it makes easier to program distributed objects. CORBA is being e...
Carlos Montez, Joni da Silva Fraga, Jean-Marie Far...
TJS
2010
117views more  TJS 2010»
14 years 4 months ago
Adaptive service scheduling for workflow applications in Service-Oriented Grid
When the workflow application is executed in Service-Oriented Grid (SOG), performance issues such as service scheduling should be considered, to achieve high and stable performance...
Sung-Ho Chin, Taeweon Suh, Heon-Chang Yu
INFOCOM
2000
IEEE
15 years 2 months ago
Multimedia Proxy Caching Mechanism for Quality Adaptive Streaming Applications in the Internet
— The Internet has witnessed a rapid growth in deployment of Web-based streaming applications during recent years. In these applications, server should be able to perform end-to-...
Reza Rejaie, Haobo Yu, Mark Handley, Deborah Estri...