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MICCAI
2009
Springer
14 years 6 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, ...
COLT
2004
Springer
13 years 10 months ago
Performance Guarantees for Regularized Maximum Entropy Density Estimation
Abstract. We consider the problem of estimating an unknown probability distribution from samples using the principle of maximum entropy (maxent). To alleviate overfitting with a v...
Miroslav Dudík, Steven J. Phillips, Robert ...
MICCAI
2010
Springer
13 years 3 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...
SASN
2005
ACM
13 years 11 months ago
A key pre-distribution scheme for secure sensor networks using probability density function of node deployment
Pairwise key establishment is a fundamental service provided in secure sensor networks. However, due to resource constraints, establishing pairwise keys is not a trivial task. Rec...
Takashi Ito, Hidenori Ohta, Nori Matsuda, Takeshi ...
MICCAI
2009
Springer
14 years 6 months ago
A Riemannian Framework for Orientation Distribution Function Computing
Compared with Diffusion Tensor Imaging (DTI), High Angular Resolution Imaging (HARDI) can better explore the complex microstructure of white matter. Orientation Distribution Functi...
Jian Cheng, Aurobrata Ghosh, Tianzi Jiang, Rachid ...