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» Smooth Optimization with Approximate Gradient
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GECCO
2003
Springer
15 years 2 months ago
Effective Use of Directional Information in Multi-objective Evolutionary Computation
While genetically inspired approaches to multi-objective optimization have many advantages over conventional approaches, they do not explicitly exploit directional/gradient informa...
Martin Brown, Robert E. Smith
APIN
1999
114views more  APIN 1999»
14 years 9 months ago
Evolutionary Approaches to Figure-Ground Separation
The problem of figure-ground separation is tackled from the perspective of combinatorial optimization. Previous attempts have used deterministic optimization techniques based on re...
Suchendra M. Bhandarkar, Xia Zeng
NIPS
2007
14 years 11 months ago
Fast Variational Inference for Large-scale Internet Diagnosis
Web servers on the Internet need to maintain high reliability, but the cause of intermittent failures of web transactions is non-obvious. We use approximate Bayesian inference to ...
John C. Platt, Emre Kiciman, David A. Maltz
CVPR
2010
IEEE
15 years 6 months ago
Estimation of Image Bias Field with Sparsity Constraints
We propose a new scheme to estimate image bias field through introducing two sparsity constraints. One is that the bias-free image has concise representation with image gradients o...
Yuanjie Zheng and James C. Gee
EMMCVPR
2005
Springer
15 years 3 months ago
One-Shot Integral Invariant Shape Priors for Variational Segmentation
Abstract. We match shapes, even under severe deformations, via a smooth reparametrization of their integral invariant signatures. These robust signatures and correspondences are th...
Siddharth Manay, Daniel Cremers, Anthony J. Yezzi,...