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» Parameterized Complexity and Approximation Algorithms
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FOCS
2005
IEEE
15 years 9 months ago
Mechanism Design via Machine Learning
We use techniques from sample-complexity in machine learning to reduce problems of incentive-compatible mechanism design to standard algorithmic questions, for a wide variety of r...
Maria-Florina Balcan, Avrim Blum, Jason D. Hartlin...
139
Voted
COMPGEOM
2005
ACM
15 years 5 months ago
The skip quadtree: a simple dynamic data structure for multidimensional data
We present a new multi-dimensional data structure, which we call the skip quadtree (for point data in R2) or the skip octree (for point data in Rd, with constant d > 2). Our da...
David Eppstein, Michael T. Goodrich, Jonathan Z. S...
GECCO
2008
Springer
363views Optimization» more  GECCO 2008»
15 years 4 months ago
Towards high speed multiobjective evolutionary optimizers
One of the major difficulties when applying Multiobjective Evolutionary Algorithms (MOEA) to real world problems is the large number of objective function evaluations. Approximate...
A. K. M. Khaled Ahsan Talukder
FOCM
2008
100views more  FOCM 2008»
15 years 3 months ago
Meshfree Thinning of 3D Point Clouds
An efficient data reduction scheme for the simplification of a surface given by a large set X of 3D point-samples is proposed. The data reduction relies on a recursive point remov...
Nira Dyn, Armin Iske, Holger Wendland
108
Voted
ICASSP
2008
IEEE
15 years 9 months ago
A factor graph approach to joint iterative data detection and channel estimation in pilot-assisted IDMA transmissions
We consider a pilot-assisted interleave-division multiple access (IDMA) system transmitting over block-fading channels. We describe this system in terms of a factor graph and use ...
Clemens Novak, Gerald Matz, Franz Hlawatsch