Summer School on

Manifold Learning in Image and Signal Analysis

Backfallsbyen, Ven, Sweden, August 17 - 21, 2009 (both days included)

Program

Monday, 17th
9.00 - 12.00 Travelling and check in (boat sails at 9.15)
12.00 - 13.00 Lunch
13.00 - 13.30 Welcome
13.30 - 14.30 DSAGM session 1: Chair Søren Olsen
14.30 - 15.00 Coffee break
15.00 - 16.00 DSAGM session 2: Chair Rasmus Larsen
16.00 - 17.00 DSAGM General Assembly (Members only)
19.00 Dinner
Tuesday, 18th
9.00 - 9.45 Rasmus R. Paulsen From Shapes to Manifolds
9.45 - 10.00 Coffee break
10.00 - 10.45 Ole Winther Principal Component Analysis (PCA) and Independent Component Analysis (ICA)
10.45 - 11.00 Break
11.00 - 12.00 Mikhail Belkin Manifold Learning
12.00 - 13.00 Lunch
13.00 - 14.00 Mikhail Belkin Manifold Learning
14.00 - 14.30 Coffee break
14.30 - 16.00 Session 3: Chair Andreas Bærentzen
19.00 Dinner
Wednesday, 19th
9.00 - 9.45 Francois Lauze Manifolds and Riemannian geometry
9.45 - 10.00 Coffee break
10.00 - 10.45 Thomas Fletcher Statistics on Manifolds
10.45 - 11.00 Break
11.00 - 12.00 Thomas Fletcher Statistics on Manifolds
12.00 - 13.00 Lunch
13.00 - 14.00 Lars Kai Hansen Scientific Visualization with Manifolds
14.00 - 14.30 Coffee break
14.30 - 16.00 Session 4: Chair Mads Nielsen
19.00 Dinner
Thursday, 20th
9.00 - 9.45 Steen Markvorsen The meaning of curvature - A distance geometric approach
9.45 - 10.00 Coffee break
10.00 - 10.45 Rasmus Larsen Sparse Statistical Models for Relating Anatomical Differences to Clinical Outcome
10.45 - 11.00 Break
11.00 - 12.00 Kim Steenstrup Pedersen Human Motion Analysis and Manifolds
11.45 - 13.00 Lunch
13.15 - 15.00 Excursion: The Tycho Brahe Observatory
19.00 Dinner
Friday, 21th
9.00 - 9.45 Jon Sporring Estimating Covariance Matrices
9.45 - 10.00 Coffee break
10.00 - 10.45 Mads Nielsen Applications of shape manifolds in medical image analysis.
10.45 - 11.00 Break
11.00 - 12.00 Session 5: Chair Kim Steenstrup Pedersen
12.00 - 13.00 Lunch
13.00 - 14.00 Session 6: Chair Rasmus R. Paulsen
14.00 - 16.00 Check out and travelling (boat sails at 16.00)

Student Presentations

Each presenter should prepare a 15 minutes presentation. The abstracts can be found here.

DSAGM Session 1
Melanie Ganz Dense Iterative Contextual Pixel Classification using Kriging
Michael Kai Petersen Sparse but emotional decomposition of lyrics
Flemming Møller Quantifying glossiness of yoghurt
DSAGM Session 2
Dennis Levin Herzog Dynamic Warping for Multiple Multivariate Sequences
Ojaswa Sharma Object Reconstruction from Linear Cross Sections
Oline V. Olesen Structured Light 3D Tracking System for Measuring of Movements in PET Brain Imaging
Session 3
Katarzyna Gebal Tracing the structure of manifolds by the Auto Diffusion function
Avinash Sharma Mesh Segmentation Using Laplacian Eigenvectors and Gaussian Mixtures
Vedrana Andersen Height and Tilt Geometric Texture
Ricardo Henao Learning Graphical Model Structure with Bayesian Sparse Linear Factor Models
Session 4
Corné Hoogendoorn A groupwise mutual information metric for cost efficient selection of a suitable reference in cardiac computational atlas construction
Chen Chen Classification in medical images using adaptive metric KNN
Christof Seiler Non-Parametric Image Regression in a Log-Euclidean Framework
Signe Thorup Creating point correspondence for UCLP children undergoing surgery
Session 5
Rasmus Ramsbøl Jensen Human Motion Tracking using a TOF Camera
Morten Engell-Nørregårds Simulating Human Motion in Real-Time
Søren Hauberg Human motion estimation
Session 6
Stefan Sommer Bicycle Chain Shape Models
Gopal Karemore Fractal Analysis : In Application to Breast Cancer Risk assessment
Last update August 20, 2009

Summer School on Manifold Learning in Image and Signal Analysis
Backfallsbyen, Ven, Sweden, August 17 - 21, 2009 (both days included)
Dina Riis Johannessen dinariis@diku.dk