'Euler characteristic' diaporamas de présentation

The Geometry of Generalized Hyperbolic Random Field

Yarmouk University Faculty of Science . The Geometry of Generalized Hyperbolic Random Field. Hanadi M. Mansour. Supervisor: Dr. Mohammad AL-Odat. Abstract. Random Field Theory. The Generalized Hyperbolic Random Field. Simulation Study. Conclusions and Future Work. Abstract.

978 views • 74 slides

Topology, DNA, and Quantum Computing

Topology, DNA, and Quantum Computing. Hsin-hao Su 2007.2.7. What? Topology?. I heard about geometry, numbers, trigonometry, statistics, and probability (Las Vegas, hehehe!). But, what did you say? Topology?. Topology.

941 views • 58 slides

euler calculus & data

euler calculus & data. robert ghrist university of pennsylvania depts. of mathematics & electrical/systems engineering. motivation. tools. euler calculus. ? = ? (-1) k # { k-cells }. ? = ? (-1) k rank H k. k. k. euler calculus. ?. ?. ?. ?. ?. = 7.

701 views • 51 slides

Keith Worsley, Math + Stats, Arnaud Charil, Montreal Neurological Institute, McGill

Detecting connectivity between images: MS lesions, cortical thickness, and the 'bubbles' task in an fMRI experiment. Keith Worsley, Math + Stats, Arnaud Charil, Montreal Neurological Institute, McGill Philippe Schyns, Fraser Smith, Psychology, Glasgow Jonathan Taylor ,

632 views • 51 slides

Statistical Inference Rik Henson With thanks to:

Statistical Inference Rik Henson With thanks to: Karl Friston, Andrew Holmes, Stefan Kiebel, Will Penny. Statistical Parametric Map. Design matrix. fMRI time-series. kernel. Motion correction. Smoothing. General Linear Model. Spatial normalisation. Parameter Estimates. Standard

620 views • 47 slides

Statistical Inference and Random Field Theory

Statistical Inference and Random Field Theory. Will Penny SPM short course, London, May 2003. M.Brett et al. Introduction to Random Field Theory, To appear in HBF, 2 nd Edition. image data. parameter estimates. design matrix. kernel. General Linear Model model fitting statistic image.

482 views • 41 slides

Statistical Inference and Random Field Theory

Statistical Inference and Random Field Theory. Will Penny SPM short course, London, May 2003. M.Brett et al. Introduction to Random Field Theory, To appear in HBF, 2 nd Edition. image data. parameter estimates. design matrix. kernel. General Linear Model model fitting statistic image.

424 views • 41 slides

LCDM vs. SUGRA

LCDM vs. SUGRA. Betti Numbers : Dark Energy models. On the Alpha and Betti of the Cosmos Topology and Homology of the Cosmic Web. Pratyush Pranav Warsaw 12 th -17 th July.

455 views • 37 slides

Multiple comparison correction

Multiple comparison correction. Klaas Enno Stephan Translational Neuromodeling Unit (TNU) Institute for Biomedical Engineering, University of Zurich & ETH Zurich Laboratory for Social & Neural Systems Research (SNS), University of Zurich

478 views • 32 slides

Statistical Inference and Random Field Theory

Statistical Inference and Random Field Theory. Will Penny SPM short course, Kyoto, Japan, 2002. image data. parameter estimates. design matrix. kernel. General Linear Model model fitting statistic image. realignment & motion correction. Random Field Theory. smoothing. normalisation.

317 views • 31 slides

444 views • 30 slides

Homology of Planar Polygon Spaces

399 views • 29 slides

Multiple comparison correction

Multiple comparison correction. Klaas Enno Stephan Laboratory for Social and Neural Systems Research Institute for Empirical Research in Economics University of Zurich Functional Imaging Laboratory (FIL) Wellcome Trust Centre for Neuroimaging University College London.

374 views • 28 slides

Multiple testing

Multiple testing. Justin Chumbley Laboratory for Social and Neural Systems Research University of Zurich. With many thanks for slides & images to: FIL Methods group. Detect an effect of unknown extent & location. Design matrix. Statistical parametric map (SPM). Image time-series. Kernel.

377 views • 25 slides

Lower Bounds on the Distortion of Embedding Finite Metric Spaces in Graphs

Lower Bounds on the Distortion of Embedding Finite Metric Spaces in Graphs. Y. Rabinovich R. Raz DCG 19 (1998) Iris Reinbacher COMP 670P 26.04.2007. Main Question. Given: Finite metric space X of size n and a graph G.

337 views • 24 slides

Random shapes in brain mapping and astrophysics using an idea from geostatistics

270 views • 19 slides

Random shapes in brain mapping and astrophysics using an idea from geostatistics

275 views • 19 slides

Random shapes in brain mapping and astrophysics using an idea from geostatistics

292 views • 19 slides

CS 39, 2017

460 views • 16 slides

Automated Topological Correction of Cortical Surfaces

Automated Topological Correction of Cortical Surfaces. Monica K. Hurdal Department of Mathematics, Florida State University, Tallahassee, U.S.A. Introduction.

253 views • 13 slides