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» Modeling non-gaussian noise for robust image analysis
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GLOBECOM
2008
IEEE
14 years 2 months ago
Robustness Analysis of Source Localization Using Gaussianity Measure
Nowadays, the source localization has been widely applied for wireless sensor networks. The Gaussian mixture model has been adopted for maximum-likelihood (ML) source localization ...
Kun Yan, Hsiao-Chun Wu, S. S. Iyengar
ICCV
2001
IEEE
14 years 9 months ago
Robust Principal Component Analysis for Computer Vision
Principal Component Analysis (PCA) has been widely used for the representation of shape, appearance, and motion. One drawback of typical PCA methods is that they are least squares...
Fernando De la Torre, Michael J. Black
IJCV
2008
123views more  IJCV 2008»
13 years 7 months ago
Nonlocal Image and Movie Denoising
Neighborhood filters are nonlocal image and movie filters which reduce the noise by averaging similar pixels. The first object of the paper is to present a unified theory of these...
Antoni Buades, Bartomeu Coll, Jean-Michel Morel
ICIP
1994
IEEE
14 years 9 months ago
Robust B-Spline Image Smoothing
In this work we present a new approach to two - dimensional robust spline smoothing. The proposed method is based on M-estimator algorithms but unlike in other M-estimator based i...
Marta Karczewicz, Moncef Gabbouj, Jaakko Astola
CIVR
2005
Springer
183views Image Analysis» more  CIVR 2005»
14 years 1 months ago
Automated Image Annotation Using Global Features and Robust Nonparametric Density Estimation
This paper describes a simple framework for automatically annotating images using non-parametric models of distributions of image features. We show that under this framework quite ...
Alexei Yavlinsky, Edward Schofield, Stefan M. R&uu...