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» Solving Demodulation as an Optimization Problem
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GECCO
2005
Springer
196views Optimization» more  GECCO 2005»
15 years 10 months ago
Breeding swarms: a new approach to recurrent neural network training
This paper shows that a novel hybrid algorithm, Breeding Swarms, performs equal to, or better than, Genetic Algorithms and Particle Swarm Optimizers when training recurrent neural...
Matthew Settles, Paul Nathan, Terence Soule
ECCV
2010
Springer
15 years 7 months ago
Optimum Subspace Learning and Error Correction for Tensors
Confronted with the high-dimensional tensor-like visual data, we derive a method for the decomposition of an observed tensor into a low-dimensional structure plus unbounded but spa...
ICIP
2009
IEEE
16 years 5 months ago
Improved Global Cardiac Tractography With Simulated Annealing
We propose a new fibre tracking algorithm for cardiac DTMRI that parts with the locally "greedy" paradigm intrinsic to conventional tracking algorithms. We formulate the...
FUZZIEEE
2007
IEEE
15 years 11 months ago
Nonlinear Classification by Genetic Algorithm with Signed Fuzzy Measure
—In this paper, we propose a new nonlinear classier based on a generalized Choquet integral with signed fuzzy measures to enhance the classification power by capturing all possib...
Honggang Wang, Hua Fang, Hamid Sharif, Zhenyuan Wa...
IEEEPACT
2007
IEEE
15 years 10 months ago
A Loop Correlation Technique to Improve Performance Auditing
Performance auditing is an online optimization strategy that empirically measures the effectiveness of an optimization on a particular code region. It has the potential to greatly...
Jeremy Lau, Matthew Arnold, Michael Hind, Brad Cal...