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ALENEX
2010
117views Algorithms» more  ALENEX 2010»
13 years 8 months ago
Untangling the Braid: Finding Outliers in a Set of Streams
Monitoring the performance of large shared computing systems such as the cloud computing infrastructure raises many challenging algorithmic problems. One common problem is to trac...
Chiranjeeb Buragohain, Luca Foschini, Subhash Suri
SIAMSC
2008
97views more  SIAMSC 2008»
13 years 7 months ago
Improvement of Space-Invariant Image Deblurring by Preconditioned Landweber Iterations
The Landweber method is a simple and flexible iterative regularization algorithm, whose projected variant provides nonnegative image reconstructions. Since the method is usually v...
Paola Brianzi, Fabio Di Benedetto, Claudio Estatic...
CVPR
2011
IEEE
13 years 2 months ago
Blind Deconvolution Using A Normalized Sparsity Measure
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image prior used in this setting have a major drawback in th...
Dilip Krishnan, Rob Fergus
JMLR
2012
11 years 9 months ago
Algorithms for Learning Kernels Based on Centered Alignment
This paper presents new and effective algorithms for learning kernels. In particular, as shown by our empirical results, these algorithms consistently outperform the so-called uni...
Corinna Cortes, Mehryar Mohri, Afshin Rostamizadeh
COMPUTER
2002
79views more  COMPUTER 2002»
13 years 7 months ago
A Practical Architecture for Reliable Quantum Computers
wever, by using a simple model of abstract building blocks: quantum bits, gates, and algorithms, and the available implementation technologies--in all their imperfections.7 The bas...
Mark Oskin, Frederic T. Chong, Isaac L. Chuang