<--- Back to Details
First PageDocument Content
Computer vision / Quantum field theory / Summability methods / Estimation theory / Image registration / Symmetry / Regularization / Asymmetry / Homogeneous polynomial / Algebra / Mathematics / Mathematical analysis
Date: 2013-01-16 10:29:53
Computer vision
Quantum field theory
Summability methods
Estimation theory
Image registration
Symmetry
Regularization
Asymmetry
Homogeneous polynomial
Algebra
Mathematics
Mathematical analysis

Symmetric Non-Rigid Image Registration via an Adaptive Quasi-Volume-Preserving Constraint

Add to Reading List

Source URL: nmr.mgh.harvard.edu

Download Document from Source Website

File Size: 603,93 KB

Share Document on Facebook

Similar Documents

J. R. Statist. Soc. B, Part 3, pp. 575–589 Bayesian variable selection and regularization for time–frequency surface estimation Patrick J. Wolfe, Simon J. Godsill and Wee-Jing Ng

DocID: 1vqA2 - View Document

A PDE APPROACH TO REGULARIZATION IN DEEP LEARNING ADAM OBERMAN JOINT WORK WITH CHAUDHARI, OSHER, SOATTO AND CARLIER The fundamental tool for training deep neural networks is Stochastic Gradient

DocID: 1vpo0 - View Document

IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, VOL. 23, NO. 11, NOVEMBERSemisupervised Classification With Cluster Regularization

DocID: 1vmvh - View Document

Downloaded by [the Bodleian Libraries of the University of Oxford] at 00:41 03 NovemberOptimization Methods & Software iFirst, 2011, 1–23 Evaluation complexity of adaptive cubic regularization methods

DocID: 1vlOh - View Document

Prior knowledge regularization in statistical medical image tasks Alessandro Crimi1 , Jon Sporring1 , Marleen de Bruijne2 , Martin Lillholm3 , Mads Nielsen1,3 DIKU, University of Copenhagen, Denmark Erasmus University Me

DocID: 1vkIf - View Document