Time-regularized versus framewise reconstruction (a) A = 2 . 8 cps - PowerPoint PPT Presentation

Aug 13, 2022 •361 likes •401 views

Time-regularized versus framewise reconstruction (a) A = 2 . 8 cps (c) A = 5 . 7 cps (e) A = 5 . 7 cps t y x (b) A = 4 . 3 cps (d) A = 8 . 3 cps (f) A = 8 . 3 cps Tuning of scattering/regularization parameters p , 7 1 . 0 12 A = 2 . 8 cps A

Time-regularized versus framewise reconstruction (a) A = 2 . 8 cps (c) A = 5 . 7 cps (e) A = 5 . 7 cps t y x (b) A = 4 . 3 cps (d) A = 8 . 3 cps (f) A = 8 . 3 cps
Tuning of scattering/regularization parameters p , β 7 1 . 0 12 A = 2 . 8 cps A = 3 . 5 cps 6 10 A = 4 . 3 cps 0 . 8 A = 5 . 7 cps 5 scattering ratio A = 8 . 3 cps 8 A = 8 . 3 cps, M = 129 0 . 6 err / mm err / mm 4 6 3 0 . 4 4 2 0 . 2 2 1 0 0 . 0 0 10 − 1 10 0 10 − 4 10 − 3 10 − 4 10 − 3 s β/ p p mm 2

Recommend

Primal-dual interior-point optimization for a regularized reconstruction of NMR relaxation time

Primal-dual interior-point optimization for a regularized reconstruction of NMR relaxation time distributions ome Idier 2 and Fran Emilie Chouzenoux 1 , Sa d Moussaoui 2 , J cois Mariette 3 er 1 Universit 2 Ecole Centrale de Nantes 3

189 views • 15 slides

3D RECONSTRUCTION Reconstruction method Reconstruction from images Reconstruction from video

3D RECONSTRUCTION Reconstruction method Reconstruction from images Reconstruction from video Using Kinect Raw Depth Image Infrared laser projector Monochrome CMOS sensor Demo Kinect Raw data Real-time Reconstruction Pipeline Measurement

508 views • 34 slides

Who Really Needs ACL Reconstruction? I Have the Answers - Fact versus Fiction Lynn

Who Really Needs ACL Reconstruction? I Have the Answers - Fact versus Fiction Lynn Snyder-Mackler ScD, PT, SCS, ATC, FAPTA University of Delaware Newark, DE University of Delaware Disclosure: I DO NOT have a financial relationship with any

510 views • 40 slides

Repairing the Posterolateral Corner Versus Reconstruction: Acute and Chronic CAPT Matthew T.

Repairing the Posterolateral Corner Versus Reconstruction: Acute and Chronic CAPT Matthew T. Provencher, MD, MC USNR Shoulder, Knee and Sports Surgery The Steadman Clinic & Steadman Philippon Research Institute Professor of Surgery, USUHS

372 views • 33 slides

Digital versus semi-digital readout Simulation and energy reconstruction First trial on

Digital versus semi-digital readout Simulation and energy reconstruction First trial on SDHCAL-RPC TB data 07/02/2013 Simulation Geometry 100 Micromegas layers of 1x1 m2 SDHCAL absorbers Data set 10000 pion events from 10 to

264 views • 24 slides

Framewise Phoneme Classification with Bidirectional LSTM Networks Alex Graves and Jurgen

Framewise Phoneme Classification with Bidirectional LSTM Networks Alex Graves and Jurgen Schmidhuber IJCNN 2005 conference proceedings Chase Duncan Overview 1. Bidirectional LSTM overview 2. What sort of tasks are they appropriate for? 3.

336 views • 15 slides

Regularized generalized CCA (RGCCA) Arthur Tenenhaus (SUPELEC) Michel Tenenhaus (HEC Paris) 1

Regularized generalized CCA (RGCCA) Arthur Tenenhaus (SUPELEC) Michel Tenenhaus (HEC Paris) 1 Regularized generalized CCA A generalization to more than two blocks of regularized canonical correlation analysis 2 References Paper Arthur

307 views • 27 slides

k Antennas Shower propagation Only time dependant No need to take the amplitudes into account t

Angular reconstruction study from Toy-Model simulations - Plane reconstruction model : - Principles - Motivations - Method - Reconstructions results so far : - Simulations used - Zenith, Azimuth errors Valentin Decoene Plane reconstruction model

590 views • 8 slides

1 last time arrays versus pointers left shift arithmetic and logical left/right shift

1 last time arrays versus pointers left shift arithmetic and logical left/right shift versus multiply/divide by power of two bitwise and/or/xor 2 topics today some other C details interlude: using the command line then, doing

1.38k views • 118 slides

A L2-Norm Regularized Pseudo-Code for Change Analysis in Satellite Image Time Series A. Radoi 1 M.

Motivation & Aim Traditional Change Analysis Techniques Pseudo-code for Change Analysis in SITS Experiments Conclusions A L2-Norm Regularized Pseudo-Code for Change Analysis in Satellite Image Time Series A. Radoi 1 M. Datcu 2 1 Research

312 views • 16 slides

Data from the Si Target-Recoil Tracker - (using r3broot) Time stamp reconstruction Run

Dr. Marc Labiche More on S438 experiment Data from the Si Target-Recoil Tracker - (using r3broot) Time stamp reconstruction Run 280-3364: 12 C target Si data roughly ordered in time but still some time ordering to do ! Si data

260 views • 7 slides

Real time reconstruction of the equilibrium of the plasma in a Tokamak and identification of the

Real time reconstruction of the equilibrium of the plasma in a Tokamak and identification of the current density profile with the EQUINOX code Jacques Blum Cedric Boulbe Blaise Faugeras in collaboration with IRFM CEA and JET Universit e

378 views • 25 slides

Regularized Estimation in High-dimensional Time Series Models Sumanta Basu Cornell University

Regularized Estimation in High-dimensional Time Series Models Sumanta Basu Cornell University IMA Workshop on Forecasting from Complexity April 27, 2018 Sumanta Basu (Cornell) High-dimensional Time Series April 27, 2018 1 / 33 Outline

688 views • 68 slides

Real-Time 3D volumetric human body reconstruction from single view RGB-D capture device n . N

Real-Time 3D volumetric human body reconstruction from single view RGB-D capture device n . N Rafael Diniz and Mylne C.Q. Farias University of Braslia, Brazil http://www.ene.unb.br/mylene EI-3DMP, January 16, 2019, California Real-Time 3D

286 views • 25 slides

Regularized Least Squares Charlie Frogner 1 MIT 2012 1 Slides mostly stolen from Ryan Rifkin

Regularized Least Squares Charlie Frogner 1 MIT 2012 1 Slides mostly stolen from Ryan Rifkin (Google). C. Frogner Regularized Least Squares Summary In RLS, the Tikhonov minimization problem boils down to solving a linear system (and this is

709 views • 39 slides

Regularized Least Squares Charlie Frogner 1 MIT 2011 1 Slides mostly stolen from Ryan Rifkin

Regularized Least Squares Charlie Frogner 1 MIT 2011 1 Slides mostly stolen from Ryan Rifkin (Google). C. Frogner Regularized Least Squares Summary In RLS, the Tikhonov minimization problem boils down to solving a linear system (and this is

518 views • 39 slides

Design of Geofoam Embankment for the I-15 Reconstruction I 15 Reconstruction Steven F. Bartlett,

Design of Geofoam Embankment for the I-15 Reconstruction I 15 Reconstruction Steven F. Bartlett, Ph.D., P.E. Research Project Manager, UDOT I-15 Reconstruction - Quick Facts Si Single Largest Highway Contract in U.S. l L t Hi h C t t i

950 views • 47 slides

2012-07-24 Last Time We introduced the idea of graphs and their associated terminology Key

2012-07-24 Last Time We introduced the idea of graphs and their associated terminology Key terms included: Directed versus Undirected CSE 332 Data Abstractions: Weighted versus Unweighted Graphs and Graph Traversals Cyclic or

234 views • 19 slides

Model Selection and Fast Rates for Regularized Least-Squares Andrea Caponnetto 1 Plan

DISI, Universit` a di Genova Genova, October 30 2004 CBCL, Massachusetts Institute of Technology Model Selection and Fast Rates for Regularized Least-Squares Andrea Caponnetto 1 Plan Regularized least-squares (RLS) in statistical

355 views • 19 slides

Evolving Technique An Algorithm for 1-Stage Versus 2-Stage Exchange: Here are the Rules Michael

ADULT RECONSTRUCTION AND JOINT REPLACEMENT Evolving Technique An Algorithm for 1-Stage Versus 2-Stage Exchange: Here are the Rules Michael B. Cross, MD Assistant Attending Orthopaedic Surgeon Disclosures Consultant: Smith &

322 views • 17 slides

Order Recursion Introduction Introduction Rc = d Order versus Time Updates There are

Order Recursion Introduction Introduction Rc = d Order versus Time Updates There are many ways to solve the normal equations Matrix Inversion by Partitioning Lemma Solutions are mathematically equivalent Levinson Algorithm

99 views • 7 slides

CSI5180. MachineLearningfor BioinformaticsApplications Regularized Linear Models by Marcel

CSI5180. MachineLearningfor BioinformaticsApplications Regularized Linear Models by Marcel Turcotte Version November 6, 2019 Preamble Preamble 2/42 Preamble Regularized Linear Models In this lecture, we introduce the concept of

1.73k views • 89 slides

THE DAY RECONSTRUCTION METHOD Linking Time-Use with Emotional Well-Being Michael Ingenhaag

THE DAY RECONSTRUCTION METHOD Linking Time-Use with Emotional Well-Being Michael Ingenhaag Institute of Health Economics and Management Michael Ingenhaag 1 / 25 INTRODUCTION RESEARCH ON SUBJECTIVE WELL-BEING Introduced by psychologists

732 views • 26 slides

Phase Transition for the mixing time of Glauber Dynamics on Regular Trees at Reconstruction:

Phase Transition for the mixing time of Glauber Dynamics on Regular Trees at Reconstruction: Colorings and Independent Sets. Juan Vera Tilburg University, Netherlands J OINT WORK WITH Ricardo Restrepo , Daniel Stefankovic , Eric Vigoda

840 views • 44 slides