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» Sampling Techniques for Kernel Methods
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SIGMOD
2002
ACM
246views Database» more  SIGMOD 2002»
15 years 10 months ago
Hierarchical subspace sampling: a unified framework for high dimensional data reduction, selectivity estimation and nearest neig
With the increased abilities for automated data collection made possible by modern technology, the typical sizes of data collections have continued to grow in recent years. In suc...
Charu C. Aggarwal
SCALESPACE
2007
Springer
15 years 3 months ago
Restoration of Images with Piecewise Space-Variant Blur
We address the problem of space-variant image deblurring, where different parts of the image are blurred by different blur kernels. Assuming a region-wise space variant point spr...
Leah Bar, Nir A. Sochen, Nahum Kiryati
CVPR
2012
IEEE
13 years 7 days ago
Supervised hashing with kernels
Recent years have witnessed the growing popularity of hashing in large-scale vision problems. It has been shown that the hashing quality could be boosted by leveraging supervised ...
Wei Liu, Jun Wang, Rongrong Ji, Yu-Gang Jiang, Shi...
ASPLOS
2012
ACM
13 years 5 months ago
Comprehensive kernel instrumentation via dynamic binary translation
Dynamic binary translation (DBT) is a powerful technique that enables fine-grained monitoring and manipulation of an existing program binary. At the user level, it has been emplo...
Peter Feiner, Angela Demke Brown, Ashvin Goel
STACS
2005
Springer
15 years 3 months ago
Sampling Sub-problems of Heterogeneous Max-cut Problems and Approximation Algorithms
Abstract Abstract. Recent work in the analysis of randomized approximation algorithms for NP-hard optimization problems has involved approximating the solution to a problem by the ...
Petros Drineas, Ravi Kannan, Michael W. Mahoney