Results 1 - 10 of 12,341

Brain magnetic resonance imaging with contrast dependent on blood oxygenation.

by S Ogawa , T M Lee , A R Kay , D W Tank - Proc. Natl. Acad. Sci. USA , 1990
"... ABSTRACT Paramagnetic deoxyhemoglobin in venous blood is a naturally occurring contrast agent for magnetic resonance imaging (MRI). By accentuating the effects of this agent through the use of gradient-echo techniques in high fields, we demonstrate in vivo images of brain microvasculature with imag ..."
Abstract - Cited by 648 (1 self) - Add to MetaCart
the vessel wall. This increase in the number of spins affected by deoxyhemoglobin is a form of amplification. When the susceptibility-induced local field differences exist within an imaging voxel, there is a resultant distribution of shifts in water resonance frequencies. In the gradient-echo method, a phase

Boundary Distributions in Te Hypotheses

by unknown authors , 2008
"... Copyright ©2006 by the UTSA College of Business. A without charge for educational purposes from the UTS (business.utsa.edu/wp) without explicit permission, pr the source. The views expressed are those of the indiv positions of UTSA, the College of Business, or any indsting Inequality ..."
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Copyright ©2006 by the UTSA College of Business. A without charge for educational purposes from the UTS (business.utsa.edu/wp) without explicit permission, pr the source. The views expressed are those of the indiv positions of UTSA, the College of Business, or any indsting Inequality

TextTiling: Segmenting text into multi-paragraph subtopic passages

by Marti A. Hearst - Computational Linguistics , 1997
"... TextTiling is a technique for subdividing texts into multi-paragraph units that represent passages, or subtopics. The discourse cues for identifying major subtopic shifts are patterns of lexical co-occurrence and distribution. The algorithm is fully implemented and is shown to produce segmentation t ..."
Abstract - Cited by 458 (2 self) - Add to MetaCart
TextTiling is a technique for subdividing texts into multi-paragraph units that represent passages, or subtopics. The discourse cues for identifying major subtopic shifts are patterns of lexical co-occurrence and distribution. The algorithm is fully implemented and is shown to produce segmentation

INVARIANT BOUNDARY DISTRIBUTIONS FOR FINITE GRAPHS

by Guyan Robertson , 801
"... Abstract. Let Γ be the fundamental group of a finite connected graphG. Let M be an abelian group. A distribution on the boundary ∂ ∆ of the universal covering tree ∆ is an M-valued measure defined on clopen sets. If M has no χ(G)-torsion then the group of Γ-invariant distributions on ∂ ∆ is isomorph ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
Abstract. Let Γ be the fundamental group of a finite connected graphG. Let M be an abelian group. A distribution on the boundary ∂ ∆ of the universal covering tree ∆ is an M-valued measure defined on clopen sets. If M has no χ(G)-torsion then the group of Γ-invariant distributions

Statistical shape influence in geodesic active contours

by Michael E. Leventon, W. Eric, L. Grimson, Olivier Faugeras - In Proc. 2000 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Hilton Head, SC , 2000
"... A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability distribution over the variances of a set of training shapes. The segmentation process embeds an initial curve as the zero l ..."
Abstract - Cited by 396 (4 self) - Add to MetaCart
A novel method of incorporating shape information into the image segmentation process is presented. We introduce a representation for deformable shapes and define a probability distribution over the variances of a set of training shapes. The segmentation process embeds an initial curve as the zero

Communication Analysis of Experimental Grain Boundary Distributions Based on Boundary-Space Metrics

by Krzysztof Glowinski, Adam Morawiec
"... Grain boundary distributions in the space of macro-scopic boundary parameters are basic statistical char-acteristics of boundary networks. To avoid artifacts caused by the currently used computation method, it is proposed to utilize the kernel density estimation tech-nique and to determine boundary ..."
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Grain boundary distributions in the space of macro-scopic boundary parameters are basic statistical char-acteristics of boundary networks. To avoid artifacts caused by the currently used computation method, it is proposed to utilize the kernel density estimation tech-nique and to determine boundary

Measuring the Five Parameter Grain Boundary Distribution From Observations of Planar Sections

by David M. Saylor, Bassem S. El-dasher, Brent L. Adams, Gregory S. Rohrer - Metall. Mater. Trans , 2004
"... A stereological method is described for estimating the distribution of grain boundary types in polycrystalline materials on the basis of observations from a single planar section. The grain boundary distribution is expressed in terms of five macroscopically observable parameters that include: three ..."
Abstract - Cited by 16 (8 self) - Add to MetaCart
A stereological method is described for estimating the distribution of grain boundary types in polycrystalline materials on the basis of observations from a single planar section. The grain boundary distribution is expressed in terms of five macroscopically observable parameters that include: three

Boundary Distributions with Respect to Chebyshev’s Inequality

by Peter Bias, Shawn Hedman, David Rose
"... Abstract: Variables whose distributions achieve the boundary value of Chebyshev’s inequality are characterized and it is found that non-constant variables with this property are symmetric discrete with at most three values. Nevertheless, the bound of Chebyshev’s inequality remains optimal for the cl ..."
Abstract - Cited by 1 (0 self) - Add to MetaCart
Abstract: Variables whose distributions achieve the boundary value of Chebyshev’s inequality are characterized and it is found that non-constant variables with this property are symmetric discrete with at most three values. Nevertheless, the bound of Chebyshev’s inequality remains optimal

Neighbourhood components analysis

by Jacob Goldberger, Sam Roweis, Geoff Hinton, Ruslan Salakhutdinov - Advances in Neural Information Processing Systems 17 , 2004
"... In this paper we propose a novel method for learning a Mahalanobis distance measure to be used in the KNN classification algorithm. The algorithm directly maximizes a stochastic variant of the leave-one-out KNN score on the training set. It can also learn a low-dimensional linear embedding of labele ..."
Abstract - Cited by 346 (9 self) - Add to MetaCart
of labeled data that can be used for data visualization and fast classification. Unlike other methods, our classification model is non-parametric, making no assumptions about the shape of the class distributions or the boundaries between them. The performance of the method is demonstrated on several data

Five-parameter grain boundary distribution in grain boundary engineered brass.

by Chang-Soo Kim , Yan Hu , Gregory S Rohrer , Valerie Randle - Scripta Mater , 2005
"... Abstract We report the first application of a five-parameter determination of grain boundary types to grain boundary engineered alphabrass. The most important findings were that the distribution of planes showed a prevalence of h1 1 0i tilt boundaries, especially asymmetric tilt types, and the pres ..."
Abstract - Cited by 3 (1 self) - Add to MetaCart
Abstract We report the first application of a five-parameter determination of grain boundary types to grain boundary engineered alphabrass. The most important findings were that the distribution of planes showed a prevalence of h1 1 0i tilt boundaries, especially asymmetric tilt types
Results 1 - 10 of 12,341