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GECCO
2007
Springer
185views Optimization» more  GECCO 2007»
14 years 1 months ago
An informed convergence accelerator for evolutionary multiobjective optimiser
A novel optimisation accelerator deploying neural network predictions and objective space direct manipulation strategies is presented. The concept of directing the search through ...
Salem F. Adra, Ian Griffin, Peter J. Fleming
SIAMJO
2008
112views more  SIAMJO 2008»
13 years 7 months ago
Parallel Space Decomposition of the Mesh Adaptive Direct Search Algorithm
This paper describes a Parallel Space Decomposition (PSD) technique for the Mesh Adaptive Direct Search (MADS) algorithm. MADS extends Generalized Pattern Search for constrained n...
Charles Audet, J. E. Dennis, Sébastien Le D...
TNN
1998
132views more  TNN 1998»
13 years 7 months ago
Synthesis of fault-tolerant feedforward neural networks using minimax optimization
—In this paper we examine a technique by which fault tolerance can be embedded into a feedforward network leading to a network tolerant to the loss of a node and its associated w...
Dipti Deodhare, M. Vidyasagar, S. Sathiya Keerthi
ISVC
2009
Springer
14 years 1 months ago
Deconvolving Active Contours for Fluorescence Microscopy Images
Abstract. We extend active contours to constrained iterative deconvolution by replacing the external energy function with a model-based likelihood. This enables sub-pixel estimatio...
Jo A. Helmuth, Ivo F. Sbalzarini
TIP
2010
113views more  TIP 2010»
13 years 2 months ago
Multiplicative Noise Removal Using Variable Splitting and Constrained Optimization
Multiplicative noise (also known as speckle noise) models are central to the study of coherent imaging systems, such as synthetic aperture radar and sonar, and ultrasound and laser...
José M. Bioucas-Dias, Mário A. T. Fi...