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NIPS
2008
13 years 10 months ago
2008
In kernel-based regression learning, optimizing each kernel individually is useful when the data density, curvature of regression surfaces (or decision boundaries) or magnitude of...
NIPS
2008
13 years 10 months ago
2008
It has been shown that the problem of 1-penalized least-square regression commonly referred to as the Lasso or Basis Pursuit DeNoising leads to solutions that are sparse and there...
SIMUTOOLS
2008
13 years 10 months ago
2008
Optical Burst Switching (OBS) has been proposed as a costeffective paradigm for supporting, with adequate flexibility, the increasingly high transmission capacity required by the ...
SODA
2008
ACM
13 years 10 months ago
2008
ACM
We consider a problem known as the restricted assignment version of the max-min allocation problem with indivisible goods. There are n items of various nonnegative values and m pl...
VMV
2008
13 years 10 months ago
2008
In this paper we address the problem of reconstructing a structurally simple surface representation from point datasets of scanned scenes as they occur for instance in city scanni...