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» Approximation Algorithms for Quickest Spanning Tree Problems
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ECSQARU
2009
Springer
15 years 9 months ago
Probability Density Estimation by Perturbing and Combining Tree Structured Markov Networks
To explore the Perturb and Combine idea for estimating probability densities, we study mixtures of tree structured Markov networks derived by bagging combined with the Chow and Liu...
Sourour Ammar, Philippe Leray, Boris Defourny, Lou...
ICML
2008
IEEE
16 years 3 months ago
ManifoldBoost: stagewise function approximation for fully-, semi- and un-supervised learning
We introduce a boosting framework to solve a classification problem with added manifold and ambient regularization costs. It allows for a natural extension of boosting into both s...
Nicolas Loeff, David A. Forsyth, Deepak Ramachandr...
ICCAD
1994
IEEE
67views Hardware» more  ICCAD 1994»
15 years 7 months ago
The reproducing placement problem with applications
We study a new placement problem: the reproducing placement problem (RPP). In each phase a module (or gate) is decomposed into two (or more) simpler modules. The goal is nd a \go...
Wei-Liang Lin, Majid Sarrafzadeh, Chak-Kuen Wong
DCC
2001
IEEE
16 years 2 months ago
Towards Compressing Web Graphs
We consider the problem of compressing graphs of the link structure of the World Wide Web. We provide efficient algorithms for such compression that are motivated by recently prop...
Micah Adler, Michael Mitzenmacher
TROB
2008
112views more  TROB 2008»
15 years 3 months ago
A Complete and Scalable Strategy for Coordinating Multiple Robots Within Roadmaps
Abstract--This paper addresses the challenging problem of finding collision-free trajectories for many robots moving toward individual goals within a common environment. Most popul...
Mike Peasgood, Christopher M. Clark, John McPhee