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» Discrete Denoising with Shifts
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PR
2007
293views more  PR 2007»
13 years 6 months ago
Mean shift-based clustering
In this paper, a mean shift-based clustering algorithm is proposed. The mean shift is a kernel-type weighted mean procedure. Herein, we first discuss three classes of Gaussian, C...
Kuo-Lung Wu, Miin-Shen Yang
CVPR
2005
IEEE
14 years 9 months ago
Bayesian Image Segmentation Using Wavelet-Based Priors
This paper introduces a formulation which allows using wavelet-based priors for image segmentation. This formulation can be used in supervised, unsupervised, or semisupervised mod...
Mário A. T. Figueiredo
WCE
2007
13 years 8 months ago
X-Ray Image Restoration in the Wavelet Domain
–—Wavelet expansions and wavelet transforms have proven to be very efficient and effective in analyzing a very wide class of signals and phenomena. Wavelet expansion allows a m...
Y. Laib dit leksir, H. Bendjama, A. Allag
ICASSP
2011
IEEE
12 years 11 months ago
Angular regularization of vector-valued signals
—A new class of pair-wise regularizers is proposed for vector-valued signals, including several new regularizers that penalize the angular difference between neighboring vectors....
Kevin M. Holt
ICA
2007
Springer
13 years 11 months ago
Conjugate Gamma Markov Random Fields for Modelling Nonstationary Sources
In modelling nonstationary sources, one possible strategy is to define a latent process of strictly positive variables to model variations in second order statistics of the underly...
Ali Taylan Cemgil, Onur Dikmen