'Random field' diaporamas de présentation

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Markov Random Field-Based Edge-Centric Image/Video Processing

Markov Random Field-Based Edge-Centric Image/Video Processing. Min Li Advisor: Prof. Truong Nguyen 08/17/07. Outline. Part I: Motivations Contributions Part II: Concepts of MRF models Previous work Applications in image/video processing Used constraints Our work

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Classical Inference ( Thresholding with Random Field Theory & False Discovery Rate methods)

Classical Inference ( Thresholding with Random Field Theory & False Discovery Rate methods). Thomas Nichols, Ph.D. Assistant Professor Department of Biostatistics University of Michigan http://www.sph.umich.edu/~nichols USA SPM Course April 7, 2005. image data. parameter estimates.

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Spatiotemporal Analysis of Surface Water Tetrachloroethene in New Jersey

Spatiotemporal Analysis of Surface Water Tetrachloroethene in New Jersey. Presentation of the project of Yasuyuki Akita Temporal GIS Fall 2004. Agenda. About Tetrachloroethene Monitoring Data Details of BME Method BME Analysis Results of BME Analysis New Criterion Model Comparison

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Inference on SPMs: Random Field Theory & Alternatives

Inference on SPMs: Random Field Theory & Alternatives. Thomas Nichols, Ph.D. Director, Modelling & Genetics GlaxoSmithKline Clinical Imaging Centre http://www.fmrib.ox.ac.uk/~nichols ICN SPM Course May 10, 2007. image data. parameter estimates. design matrix. kernel.

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Inference on SPMs: Random Field Theory & Alternatives

Inference on SPMs: Random Field Theory & Alternatives. Thomas Nichols, Ph.D. Department of Statistics & Warwick Manufacturing Group University of Warwick FIL SPM Course 13 May, 2010. image data. parameter estimates. design matrix. kernel. Thresholding & Random Field Theory.

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Inference on SPMs: Random Field Theory & Alternatives

Inference on SPMs: Random Field Theory & Alternatives. Thomas Nichols, Ph.D. Department of Statistics & Warwick Manufacturing Group University of Warwick FIL SPM Course 17 May, 2012. image data. parameter estimates. design matrix. kernel. Thresholding & Random Field Theory.

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**please note**

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Kalman and Kalman Bucy @ 50: Distributed and Intermittency

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A Broad-band Radio Attenuation Model for Antarctica and its effect on ANITA sensitivity

A Broad-band Radio Attenuation Model for Antarctica and its effect on ANITA sensitivity. By Amir Javaid University of Delaware. Topics. Radio Attenuation in ice and ANITA sensitivity

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Quantum phase transitions in anisotropic dipolar magnets

Quantum phase transitions in anisotropic dipolar magnets. Moshe Schechter. University of British Columbia. In collaboration with: Philip Stamp, Nicolas laflorencie. LiHoY F. x. 1-x. 4. 1. Transverse field Ising model:. LiHoY F. x. 1-x. 4. 1. Transverse field Ising model:.

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Spin correlated dynamics on Bethe lattice

Spin correlated dynamics on Bethe lattice. Alexander Burin. Motivation: to study cooperative dynamics of interacting spins. Three alternative models.

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A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences

A Dynamic Conditional Random Field Model for Object Segmentation in Image Sequences. Paper by Yang Wang and Qiang Ji, Rensselaer Polytechnic Institute, CVPR 2005. Duke University Machine Learning Group Presented by Qiuhua Liu March 23, 2006. Outline. Markov Random Field (MRF)

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Transport of energetic particles in cosmic magnetic fields

Transport of energetic particles in cosmic magnetic fields. Vladimir Ptuskin. particle diffusion in random magnetic field compound diffusion, anomalous diffusion diffusion + convection - cosmic ray transport in intergalactic space. diffusion approximation. intergalactic space. solar

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CWR 6536 Stochastic Subsurface Hydrology

CWR 6536 Stochastic Subsurface Hydrology. Optimal Estimation of Hydrologic Parameters using Kriging. Purpose of Kriging. To estimate regional distribution of a spatially variable parameter To estimate accuracy of regional distribution

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Random Field Ising Model on Small-World Networks

Random Field Ising Model on Small-World Networks. Seung Woo Son , Hawoong Jeong 1 and Jae Dong Noh 2 1 Dept. Physics, Korea Advanced Institute Science and Technology (KAIST) 2 Dept. Physics, Chungnam National University, Daejeon, KOREA. Ising magnet. Quenched Random

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Spatial Smoothing & Multiple Comparisons Correction (for Dummies)

Spatial Smoothing & Multiple Comparisons Correction (for Dummies). Ac knowledgements: Jon Simons, Alexa Morcom, Matthew Brett. Overview. Spatial Smoothing What does it do? Why do you want to do it? How is it done? Correction for Multiple Comparisons Bonferroni correction

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Statics and dynamics of elastic manifolds in media with long-range correlated disorder

CompPhys06, 1st December 2006, Leipzig. Statics and dynamics of elastic manifolds in media with long-range correlated disorder Andrei A. Fedorenko, Pierre Le Doussal and Kay J. Wiese CNRS-Laboratoire de Physique Theorique de l'Ecole Normale Superieure, Paris, France. Outline:

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Ming Ji Department of Computer Science University of Illinois at Urbana-Champaign

Active Learning for Information N etworks A Variance Minimization Criterion. Ming Ji Department of Computer Science University of Illinois at Urbana-Champaign. Information Networks: the Data. Information networks Abstraction: graphs

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Partnership for International Research and Education

National Science. Foundation. Partnership for International Research and Education A Global Living Laboratory for Cyberinfrastructure Application Enablement. Project Title: Multi-type Data Clustering Across Multiple Feature Spaces

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