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Indication of Electron Neutrino Appearance from an Accelerator-produced Off-axis Muon Neutrino Beam

[PDF] from arxiv.orgK Abe, N Abgrall, Y Ajima, H Aihara… - Arxiv preprint arXiv: …, 2011 - arxiv.org
Page 1. Preprint submitted to PRL Indication of Electron Neutrino Appearance from an
Accelerator-produced Off-axis Muon Neutrino Beam ... Page 6. Abstract The T2K experiment
observes indications of νµ → νe appearance in data accumulated with 1.43 × 1020 protons on ...
Cited by 64 - Related articles - All 2 versions

Association between tanning bed use and appearance related behaviours in a cohort of United States adolescent females

Check for Full TextD O'Riordan, A Field, A Geller… - International …, 2011 - espace.library.uq.edu.au
O'Riordan, D., Field, A., Geller, A., Frazier, A. and Colditz, G. (2002) Association between tanning
bed use and appearance related behaviours in a cohort of United States adolescent
females. International Journal of Behavioral Medicine, 9 Supplement 1: 208.
Cached - All 2 versions

A combined manifold learning analysis of shape and appearance to characterize neonatal brain development.

Check for Full TextP Aljabar, R Wolz, L Srinivasan… - IEEE transactions on …, 2011 - ncbi.nlm.nih.gov
Large medical image datasets form a rich source of anatomical descriptions for research into
pathology and clinical biomarkers. Many features may be extracted from data such as MR images
to provide, through manifold learning methods, new representations of the populations ...

[PDF] Geometric and Appearance Modeling of Vascular Structures in CT and MR

[PDF] from umn.eduQ Bai, B Farmer, E Foxall, XM Fu, S Joshi… - 2011 - ima.umn.edu
Medical imaging devices such as CT and MRI scanners allows doctors to view their patient's
internal organs noninvasively. However, it can be difficult to see the structure of organs and tissues
in the raw intensity data. Segmen- tation of the intensity data can be helpful for describing ...
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Learning a generative model of images by factoring appearance and shape

[PDF] from microsoft.comN Le Roux, N Heess, J Shotton… - Neural Computation, 2011 - MIT Press
Computer vision has grown tremendously in the past two decades. Despite all efforts, existing
attempts at matching parts of the human visual system's extraordinary ability to understand visual
scenes lack either scope or power. By combining the advantages of general low-level ...
Cited by 4 - Related articles - Check for Full Text - All 5 versions

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