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» A Variational Approach to Learning Curves
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SCALESPACE
2009
Springer
14 years 3 months ago
Computational Geometry-Based Scale-Space and Modal Image Decomposition
In this paper a framework for defining scale-spaces, based on the computational geometry concepts of α-shapes, is proposed. In this approach, objects (curves or surfaces) of incr...
Anatole Chessel, Bertrand Cinquin, Sabine Bardin, ...
ICCV
1999
IEEE
14 years 24 days ago
Geodesic Active Regions for Supervised Texture Segmentation
This paper presents a novel variational method for supervised texture segmentation. The textured feature space is generated by filtering the given textured images using isotropic ...
Nikos Paragios, Rachid Deriche
ICIP
2009
IEEE
13 years 6 months ago
Multiregion level-set segmentation of synthetic aperture radar images
Due to the presence of speckle, segmentation of SAR images is generally acknowledged as a difficult problem. A large effort has been done in order to cope with the influence of sp...
Michael Ying Yang
ICML
2008
IEEE
14 years 9 months ago
Gaussian process product models for nonparametric nonstationarity
Stationarity is often an unrealistic prior assumption for Gaussian process regression. One solution is to predefine an explicit nonstationary covariance function, but such covaria...
Ryan Prescott Adams, Oliver Stegle
ICONIP
2010
13 years 7 months ago
Improving Recurrent Neural Network Performance Using Transfer Entropy
Abstract. Reservoir computing approaches have been successfully applied to a variety of tasks. An inherent problem of these approaches, is, however, their variation in performance ...
Oliver Obst, Joschka Boedecker, Minoru Asada