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CSDA
2007
128views more  CSDA 2007»
13 years 7 months ago
Regularized linear and kernel redundancy analysis
Redundancy analysis (RA) is a versatile technique used to predict multivariate criterion variables from multivariate predictor variables. The reduced-rank feature of RA captures r...
Yoshio Takane, Heungsun Hwang
JMIV
2007
83views more  JMIV 2007»
13 years 7 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
MICCAI
2002
Springer
14 years 8 months ago
Regularized Stochastic White Matter Tractography Using Diffusion Tensor MRI
The development of Diffusion Tensor MRI has raised hopes in the neuro-science community for in vivo methods to track fiber paths in the white matter. A number of approaches have be...
Mats Björnemo, Anders Brun, Ron Kikinis, Carl...
ICIP
1997
IEEE
14 years 9 months ago
Super-Resolution with Adaptive Regularization
Multi-channel super-resolution is a means of recovering high frequency information by trading off the temporal bandwidth. Almost all the methods proposed in the literature are bas...
Anne Lorette, Hassan Shekarforoush, Josiane Zerubi...
IDEAS
2007
IEEE
148views Database» more  IDEAS 2007»
14 years 2 months ago
Boundedness of Regular Path Queries in Data Integration Systems
In this paper we study the problem of deciding whether a regular path query over views in data-integration systems can be re-expressed without recursion. The problem becomes chall...
Gösta Grahne, Alex Thomo