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95
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AIPS
2006
15 years 3 months ago
Optimal Rectangle Packing: A Meta-CSP Approach
We present a new approach to optimal rectangle packing, an NP-complete problem that can be used to model many simple scheduling tasks. Recent attempts at incorporating artificial ...
Michael D. Moffitt, Martha E. Pollack
EC
2007
167views ECommerce» more  EC 2007»
15 years 2 months ago
Comparison-Based Algorithms Are Robust and Randomized Algorithms Are Anytime
Randomized search heuristics (e.g., evolutionary algorithms, simulated annealing etc.) are very appealing to practitioners, they are easy to implement and usually provide good per...
Sylvain Gelly, Sylvie Ruette, Olivier Teytaud
STOC
2001
ACM
111views Algorithms» more  STOC 2001»
16 years 2 months ago
Optimal outlier removal in high-dimensional
We study the problem of finding an outlier-free subset of a set of points (or a probability distribution) in n-dimensional Euclidean space. As in [BFKV 99], a point x is defined t...
John Dunagan, Santosh Vempala
STOC
2002
ACM
118views Algorithms» more  STOC 2002»
16 years 2 months ago
On the advantage over a random assignment
: We initiate the study of a new measure of approximation. This measure compares the performance of an approximation algorithm to the random assignment algorithm. This is a useful ...
Johan Håstad, Srinivasan Venkatesh
124
Voted
CORR
2008
Springer
167views Education» more  CORR 2008»
15 years 2 months ago
Energy Scaling Laws for Distributed Inference in Random Networks
The energy scaling laws of multihop data fusion networks for distributed inference are considered. The fusion network consists of randomly located sensors independently distributed...
Animashree Anandkumar, Joseph E. Yukich, Lang Tong...