202 search results - page 9 / 41 » Privacy-preservation for gradient descent methods |
108
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ICIP
2008
IEEE
16 years 1 months ago
2008
IEEE
Semi-supervised image segmentation is an important issue in many image processing applications, and has been a popular research area recently, the most popular are graph-based met...
ISCAS
2006
IEEE
15 years 5 months ago
2006
IEEE
A robust system architecture to achieve optical coherency free optimization. Several methods that had been proposed in the in multiple-beam free-space laser communication links wit...
101
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ICML
2008
IEEE
16 years 8 days ago
2008
IEEE
We show how the regularizer of Transductive Support Vector Machines (TSVM) can be trained by stochastic gradient descent for linear models and multi-layer architectures. The resul...
241
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EMMCVPR
2011
Springer
13 years 11 months ago
2011
Springer
Abstract. The Mumford-Shah model has been one of the most powerful models in image segmentation and denoising. The optimization of the multiphase Mumford-Shah energy functional has...
103
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IJCV
2011
14 years 2 months ago
2011
We examine the underlying structure of popular algorithms for variational methods used in image processing. We focus here on operator splittings and Bregman methods based on a uniï...