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IPCV
2007
13 years 10 months ago
Nonconvex Regularization for Image Segmentation
Abstract - We propose a new method for image segmentation based on a variational regularization algorithm for image denoising. We modify the Rudin-Osher-Fatemi (ROF) model in [1] b...
Rick Chartrand, Valentina Staneva
CORR
2008
Springer
79views Education» more  CORR 2008»
13 years 9 months ago
Free Distance Bounds for Protograph-Based Regular LDPC Convolutional Codes
In this paper asymptotic methods are used to form lower bounds on the free distance to constraint length ratio of several ensembles of regular, asymptotically good, protographbased...
David G. M. Mitchell, Ali Emre Pusane, Norbert Goe...
ICCV
2009
IEEE
15 years 2 months ago
Structure- and Motion-adaptive Regularization for High Accuracy Optic Flow
The accurate estimation of motion in image sequences is of central importance to numerous computer vision applications. Most competitive algorithms compute flow fields by minimi...
Andreas Wedel, Daniel Cremers, Thomas Pock, Horst ...
ICPR
2008
IEEE
14 years 10 months ago
Bregman distance to L1 regularized logistic regression
In this work we investigate the relationship between Bregman distances and regularized Logistic Regression model. We present a detailed study of Bregman Distance minimization, a f...
Mithun Das Gupta, Thomas S. Huang
NIPS
1996
13 years 10 months ago
Radial Basis Function Networks and Complexity Regularization in Function Learning
In this paper we apply the method of complexity regularization to derive estimation bounds for nonlinear function estimation using a single hidden layer radial basis function netwo...
Adam Krzyzak, Tamás Linder