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NC
2002
210views Neural Networks» more  NC 2002»
13 years 8 months ago
Recent approaches to global optimization problems through Particle Swarm Optimization
This paper presents an overview of our most recent results concerning the Particle Swarm Optimization (PSO) method. Techniques for the alleviation of local minima, and for detectin...
Konstantinos E. Parsopoulos, Michael N. Vrahatis
MICCAI
2010
Springer
13 years 7 months ago
Reconstructing Geometrically Consistent Tree Structures from Noisy Images
Abstract. We present a novel approach to fully automated reconstruction of tree structures in noisy 2D images. Unlike in earlier approaches, we explicitly handle crossovers and bif...
Engin Türetken, Christian Blum, Germán...
JMLR
2010
109views more  JMLR 2010»
13 years 3 months ago
Matrix Completion from Noisy Entries
Given a matrix M of low-rank, we consider the problem of reconstructing it from noisy observations of a small, random subset of its entries. The problem arises in a variety of app...
Raghunandan H. Keshavan, Andrea Montanari, Sewoong...
GECCO
2010
Springer
160views Optimization» more  GECCO 2010»
14 years 1 months ago
Benchmarking a weighted negative covariance matrix update on the BBOB-2010 noisy testbed
In a companion paper, we presented a weighted negative update of the covariance matrix in the CMA-ES—weighted active CMA-ES or, in short, aCMA-ES. In this paper, we benchmark th...
Nikolaus Hansen, Raymond Ros
CORR
2007
Springer
110views Education» more  CORR 2007»
13 years 8 months ago
Information-theoretic limits on sparsity recovery in the high-dimensional and noisy setting
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
Martin J. Wainwright