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» On multivariate estimation by thresholding
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ICCV
2003
IEEE
16 years 5 months ago
Robust Regression with Projection Based M-estimators
The robust regression techniques in the RANSAC family are popular today in computer vision, but their performance depends on a user supplied threshold. We eliminate this drawback ...
Haifeng Chen, Peter Meer
IVC
2002
85views more  IVC 2002»
15 years 2 months ago
Multi-modal gray-level histogram modeling and decomposition
In this paper, we present a novel multi-modal histogram thresholding method in which no a priori knowledge about the number of clusters to be extracted is needed. The proposed met...
Jeng-Horng Chang, Kuo-Chin Fan, Yang-Lang Chang
SIAMCO
2008
98views more  SIAMCO 2008»
15 years 3 months ago
Kernel Density Estimation and Goodness-of-Fit Test in Adaptive Tracking
We investigate the asymptotic properties of a recursive kernel density estimator associated with the driven noise of a linear regression in adaptive tracking. We provide an almost ...
Bernard Bercu, Bruno Portier
ICIP
2009
IEEE
16 years 4 months ago
Image Deconvolution By Stein Block Thresholding
In this paper, we propose a fast image deconvolution algorithm that combines adaptive block thresholding and Vaguelet-Wavelet Decomposition. The approach consists in first denoisi...
SIP
2007
15 years 4 months ago
A variational segmentation framework using active contours and thresholding
Segmentation involves separating distinct regions in an image. In this note, we present a novel variational approach to perform this task. We propose an energy functional that nat...
Samuel Dambreville, Marc Niethammer, Anthony J. Ye...