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ECCV
2006
Springer
14 years 11 months ago
Unsupervised Patch-Based Image Regularization and Representation
A novel adaptive and patch-based approach is proposed for image regularization and representation. The method is unsupervised and based on a pointwise selection of small image patc...
Charles Kervrann, Jérôme Boulanger
KDD
2004
ACM
117views Data Mining» more  KDD 2004»
14 years 9 months ago
Regularized multi--task learning
Past empirical work has shown that learning multiple related tasks from data simultaneously can be advantageous in terms of predictive performance relative to learning these tasks...
Theodoros Evgeniou, Massimiliano Pontil
MICCAI
2010
Springer
13 years 7 months ago
Model-Free, Regularized, Fast, and Robust Analytical Orientation Distribution Function Estimation
High Angular Resolution Imaging (HARDI) can better explore the complex micro-structure of white matter compared to Diffusion Tensor Imaging (DTI). Orientation Distribution Functio...
Jian Cheng, Aurobrata Ghosh, Rachid Deriche, Tianz...
ICIP
2008
IEEE
14 years 10 months ago
Consistent and regularized magnification of images
Because more output data must be created than is available from the input, magnification is an ill-posed problem. Traditional magnification relies on resampling an interpolation mo...
Aurélien Bourquard, Katarina Balac, Michael...
MICCAI
2009
Springer
14 years 10 months ago
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity
High angular resolution diffusion imaging (HARDI) has become an important magnetic resonance technique for in vivo imaging. Current techniques for estimating the diffusion orientat...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...