30 search results - page 6 / 6 » Sub-Sampled Newton Methods I: Globally Convergent Algorithms |
GECCO
2007
Springer
13 years 11 months ago
2007
Springer
In multiobjective particle swarm optimization (MOPSO) methods, selecting the local best and the global best for each particle of the population has a great impact on the convergen...
GECCO
2010
Springer
13 years 9 months ago
2010
Springer
Differential evolution (DE) is a simple yet powerful evolutionary algorithm for global numerical optimization. Different strategies have been proposed for the offspring generation...
EMMCVPR
2007
Springer
13 years 11 months ago
2007
Springer
Classic mosaic is one of the oldest and most durable art forms. There has been a growing interest in simulating classic mosaics from digital images recently. To be visually pleasin...
IROS
2007
IEEE
13 years 11 months ago
2007
IEEE
— We present a Graph-based method for low-level segmentation of unfiltered 3D data. The core of this approach is based on the construction of a local neighborhood structure and ...
KDD
2010
ACM
13 years 8 months ago
2010
ACM
Feature selection is an important task in order to achieve better generalizability in high dimensional learning, and structure learning of Markov random fields (MRFs) can automat...