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CORR
2012
Springer
232views Education» more  CORR 2012»
12 years 3 months ago
Smoothing Proximal Gradient Method for General Structured Sparse Learning
We study the problem of learning high dimensional regression models regularized by a structured-sparsity-inducing penalty that encodes prior structural information on either input...
Xi Chen, Qihang Lin, Seyoung Kim, Jaime G. Carbone...
MP
2010
157views more  MP 2010»
13 years 6 months ago
Newton's method for generalized equations: a sequential implicit function theorem
In the extension of Newton’s method to generalized equations, applying to variational inequalities as a special case, convergence analysis relates to a corresponding implicit fun...
Asen L. Dontchev, R. Tyrrell Rockafellar
NA
2008
297views more  NA 2008»
13 years 7 months ago
Generalized fast marching method: applications to image segmentation
In this paper, we propose a segmentation method based on the Generalized Fast Marching Method (GFMM) developed by Carlini et al.([6]). The classical Fast Marching Method (FMM) is a...
Nicolas Forcadel, Carole Le Guyader, Christian Gou...
ICCVW
1999
Springer
13 years 12 months ago
A General Method for Feature Matching and Model Extraction
Abstract. Popular algorithms for feature matching and model extraction fall into two broad categories, generate-and-test and Hough transform variations. However, both methods su er...
Clark F. Olson
ICCV
2007
IEEE
13 years 11 months ago
Efficient Generic Calibration Method for General Cameras with Single Centre of Projection
Generic camera calibration is a non-parametric calibration technique that is applicable to any type of vision sensor. However, the standard generic calibration method was develope...
Aubrey K. Dunne, John Mallon, Paul F. Whelan