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» Contrastive Divergence in Gaussian Diffusions
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CORR
2006
Springer
99views Education» more  CORR 2006»
13 years 4 months ago
PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption
Abstract. We propose and analyze a new vantage point for the learning of mixtures of Gaussians: namely, the PAC-style model of learning probability distributions introduced by Kear...
Jon Feldman, Ryan O'Donnell, Rocco A. Servedio
ICIAP
2001
Springer
13 years 8 months ago
A Neurodynamical Retinal Network Based on Reaction-Diffusion Systems
A dynamical model for retinal processing is presented. The model describes the output of retinal ganglion cells whose receptive field is composed of a center and a surround combi...
Matthias S. Keil, Gabriel Cristóbal, Heiko ...
ICCV
2005
IEEE
13 years 10 months ago
Using Extended Light Sources for Modeling Object Appearance under Varying Illumination
In this study, we demonstrate the effectiveness of using extended light sources for modeling the appearance of an object for varying illumination. Extended light sources have a ra...
Imari Sato, Takahiro Okabe, Yoichi Sato, Katsushi ...
ICIP
2006
IEEE
14 years 6 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
TOG
2002
129views more  TOG 2002»
13 years 4 months ago
Fast bilateral filtering for the display of high-dynamic-range images
We present a new technique for the display of high-dynamic-range images, which reduces the contrast while preserving detail. It is based on a two-scale decomposition of the image ...
Frédo Durand, Julie Dorsey