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» Local Regression Based Statistical Model Fitting
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94
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ICIP
2009
IEEE
16 years 1 months ago
Context-based Bias Removal Of Statistical Models Of Wavelet Coefficients For Image Denoising
Existing wavelet-based image denoising techniques all assume a probability model of wavelet coefficients that has zero mean, such as zero-mean Laplacian, Gaussian, or generalized ...
117
Voted
CVPR
2007
IEEE
16 years 2 months ago
Model-Guided Segmentation of 3D Neuroradiological Image Using Statistical Surface Wavelet Model
This paper proposes a novel model-guided segmentation framework utilizing a statistical surface wavelet model as a shape prior. In the model building process, a set of training sh...
Yang Li, Tiow Seng Tan, Ihar Volkau, Wieslaw L. No...
118
Voted
IJCV
2010
206views more  IJCV 2010»
14 years 11 months ago
From Local Kernel to Nonlocal Multiple-Model Image Denoising
Abstract We review the evolution of the nonparametric regression modeling in imaging from the local Nadaraya-Watson kernel estimate to the nonlocal means and further to transform-d...
Vladimir Katkovnik, Alessandro Foi, Karen Egiazari...
134
Voted
CGF
2010
161views more  CGF 2010»
15 years 16 days ago
HyperMoVal: Interactive Visual Validation of Regression Models for Real-Time Simulation
During the development of car engines, regression models that are based on machine learning techniques are increasingly important for tasks which require a prediction of results i...
Harald Piringer, Wolfgang Berger, J. Krasser
138
Voted
TSP
2010
14 years 7 months ago
Distributed sparse linear regression
The Lasso is a popular technique for joint estimation and continuous variable selection, especially well-suited for sparse and possibly under-determined linear regression problems....
Gonzalo Mateos, Juan Andrés Bazerque, Georg...