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QRE
2008
140views more  QRE 2008»
13 years 9 months ago
Discrete mixtures of kernels for Kriging-based optimization
: Kriging-based exploration strategies often rely on a single Ordinary Kriging model which parametric covariance kernel is selected a priori or on the basis of an initial data set....
David Ginsbourger, Céline Helbert, Laurent ...
KDD
2009
ACM
192views Data Mining» more  KDD 2009»
14 years 10 months ago
Learning optimal ranking with tensor factorization for tag recommendation
Tag recommendation is the task of predicting a personalized list of tags for a user given an item. This is important for many websites with tagging capabilities like last.fm or de...
Steffen Rendle, Leandro Balby Marinho, Alexandros ...
CASES
2005
ACM
14 years 4 days ago
Optimizing stream programs using linear state space analysis
Digital Signal Processing (DSP) is becoming increasingly widespread in portable devices. Due to harsh constraints on power, latency, and throughput in embedded environments, devel...
Sitij Agrawal, William Thies, Saman P. Amarasinghe
SIGMETRICS
2010
ACM
217views Hardware» more  SIGMETRICS 2010»
13 years 10 months ago
Optimal recovery of single disk failure in RDP code storage systems
Modern storage systems use thousands of inexpensive disks to meet the storage requirement of applications. To enhance the data availability, some form of redundancy is used. For e...
Liping Xiang, Yinlong Xu, John C. S. Lui, Qian Cha...
CVPR
2009
IEEE
1626views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Coded Exposure Deblurring: Optimized Codes for PSF Estimation and Invertibility
We consider the problem of single image object motion deblurring from a static camera. It is well known that deblurring of moving objects using a traditional camera is ill-posed, d...
Amit K. Agrawal, Yi Xu