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SDM
2009
SIAM
167views Data Mining» more  SDM 2009»
16 years 3 months ago
Parallel Pairwise Clustering.
Given the pairwise affinity relations associated with a set of data items, the goal of a clustering algorithm is to automatically partition the data into a small number of homogen...
Elad Yom-Tov, Noam Slonim
CVPR
2010
IEEE
16 years 2 months ago
Parallel and Distributed Graph Cuts by Dual Decomposition
Graph cuts methods are at the core of many state-of-theart algorithms in computer vision due to their efficiency in computing globally optimal solutions. In this paper, we solve t...
Petter Strandmark, Fredrik Kahl
ICCS
2009
Springer
16 years 1 months ago
Experience with Approximations in the Trust-Region Parallel Direct Search Algorithm
Recent years have seen growth in the number of algorithms designed to solve challenging simulation-based nonlinear optimization problems. One such algorithm is the Trust-Region Par...
S. M. Shontz, V. E. Howle, P. D. Hough
GECCO
2007
Springer
300views Optimization» more  GECCO 2007»
16 years 20 days ago
A NSGA-II, web-enabled, parallel optimization framework for NLP and MINLP
Engineering design increasingly uses computer simulation models coupled with optimization algorithms to find the best design that meets the customer constraints within a time con...
David J. Powell, Joel K. Hollingsworth
IWANN
2005
Springer
16 years 10 hour ago
Balanced Boosting with Parallel Perceptrons
Boosting constructs a weighted classifier out of possibly weak learners by successively concentrating on those patterns harder to classify. While giving excellent results in many ...
Iván Cantador, José R. Dorronsoro