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ICASSP
2011
IEEE
8 years 7 months ago
Maximum a posteriori based regularization parameter selection
The 1 norm regularized least square technique has been proposed as an efficient method to calculate sparse solutions. However, the choice of the regularization parameter is still...
Ashkan Panahi, Mats Viberg
CVPR
2011
IEEE
8 years 11 months ago
Bayesian Deblurring with Integrated Noise Estimation
Conventional non-blind image deblurring algorithms involve natural image priors and maximum a-posteriori (MAP) estimation. As a consequence of MAP estimation, separate pre-process...
Uwe Schmidt, Kevin Schelten, Stefan Roth
ICIAR
2010
Springer
9 years 2 months ago
Adaptive Regularization Parameter for Graph Cut Segmentation
Abstract. Graph cut minimization formulates the segmentation problem as the liner combination of data and smoothness terms. The smoothness term is included in the energy formulatio...
Sema Candemir, Yusuf Sinan Akgul
TNN
1998
100views more  TNN 1998»
9 years 3 months ago
A dynamical system perspective of structural learning with forgetting
—Structural learning with forgetting is an established method of using Laplace regularization to generate skeletal artificial neural networks. In this paper we develop a continu...
D. A. Miller, J. M. Zurada
NN
2002
Springer
224views Neural Networks» more  NN 2002»
9 years 3 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
NECO
1998
83views more  NECO 1998»
9 years 3 months ago
Properties of Support Vector Machines
Support Vector Machines (SVMs) perform pattern recognition between two point classes by nding a decision surface determined by certain points of the training set, termed Support V...
Massimiliano Pontil, Alessandro Verri
SIAMSC
2008
179views more  SIAMSC 2008»
9 years 3 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
PRL
2006
127views more  PRL 2006»
9 years 3 months ago
Ho-Kashyap classifier with early stopping for regularization
This paper focuses on linear classification using a fast and simple algorithm known as the Ho
Fabien Lauer, Gérard Bloch
BMCBI
2008
127views more  BMCBI 2008»
9 years 3 months ago
Gene and pathway identification with Lp penalized Bayesian logistic regression
Background: Identifying genes and pathways associated with diseases such as cancer has been a subject of considerable research in recent years in the area of bioinformatics and co...
Zhenqiu Liu, Ronald B. Gartenhaus, Ming Tan, Feng ...
ICASSP
2007
IEEE
9 years 5 months ago
Variable Regularized Fast Affine Projections
This paper introduces a variable regularization method for the fast affine projection algorithm (VR-FAP). It is inspired by a recently introduced technique for variable regulariza...
Deepak Challa, Steven L. Grant, Asif Iqbal Mohamma...
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