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VLDB
1994
ACM
114views Database» more  VLDB 1994»
14 years 1 months ago
Including Group-By in Query Optimization
In existing relational database systems, processing of group-by and computation of aggregate functions are always postponed until all joins are performed. In this paper, we presen...
Surajit Chaudhuri, Kyuseok Shim
NN
2008
Springer
201views Neural Networks» more  NN 2008»
13 years 9 months ago
Learning representations for object classification using multi-stage optimal component analysis
Learning data representations is a fundamental challenge in modeling neural processes and plays an important role in applications such as object recognition. In multi-stage Optima...
Yiming Wu, Xiuwen Liu, Washington Mio
VLDB
2004
ACM
97views Database» more  VLDB 2004»
14 years 2 months ago
Progressive Optimization in Action
Progressive Optimization (POP) is a technique to make query plans robust, and minimize need for DBA intervention, by repeatedly re-optimizing a query during runtime if the cardina...
Vijayshankar Raman, Volker Markl, David E. Simmen,...
CISS
2008
IEEE
14 years 3 months ago
Achievable rates and training optimization for fading relay channels with memory
—In this paper, transmission over time-selective, flat fading relay channels is studied. It is assumed that channel fading coefficients are not known a priori. Transmission tak...
Sami Akin, Mustafa Cenk Gursoy
ICASSP
2008
IEEE
14 years 3 months ago
Blind optimization of algorithm parameters for signal denoising by Monte-Carlo SURE
We consider the problem of optimizing the parameters of an arbitrary denoising algorithm by minimizing Stein’s Unbiased Risk Estimate (SURE) which provides a means of assessing ...
Sathish Ramani, Thierry Blu, Michael Unser