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IDA
2003
Springer
14 years 3 months ago
Regularization Methods for Additive Models
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform var...
Marta Avalos, Yves Grandvalet, Christophe Ambroise
CLASSIFICATION
2007
105views more  CLASSIFICATION 2007»
13 years 10 months ago
Bayesian Regularization for Normal Mixture Estimation and Model-Based Clustering
Normal mixture models are widely used for statistical modeling of data, including cluster analysis. However maximum likelihood estimation (MLE) for normal mixtures using the EM al...
Chris Fraley, Adrian E. Raftery
MICCAI
2010
Springer
13 years 8 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...
TMI
2010
148views more  TMI 2010»
13 years 8 months ago
General Retinal Vessel Segmentation Using Regularization-Based Multiconcavity Modeling
—Detecting blood vessels in retinal images with the presence of bright and dark lesions is a challenging unsolved problem. In this paper, a novel multiconcavity modeling approach...
Benson S. Y. Lam, Yongsheng Gao, Alan Wee-Chung Li...
CONCUR
2007
Springer
14 years 1 months ago
Checking Coverage for Infinite Collections of Timed Scenarios
We consider message sequence charts enriched with timing constraints between pairs of events. As in the untimed setting, an infinite family of time-constrained message sequence cha...
S. Akshay, Madhavan Mukund, K. Narayan Kumar