Workshop program
09:00-09:15 Welcome and Opening
09:15-10 Keynote talk 1: "Classifying Object Manifolds: Statistical Mechanics and Conic Geometry", Daniel Lee (The University of Pennsylvania)
10:00-10:30 Coffee break
10:30-11:15 Keynote talk 2: "Barycentric Subspace Analysis: an extension of PCA to Manifolds", Xavier Pennec (INRIA, Sophia Antipolis, France)
Oral Session 1 (11:15 – 11h55)
. 11:15-11:35 The Square Root Velocity Framework for Curves in a Homogeneous Space, Zhe Su;
Martin Bauer; Eric Klassen
. 11:35-11:55 Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization, Peer-Timo Bremer; Jayaraman J. Thiagarajan; Rushil Anirudh; Bhavya Kailkhura
11:55-13:30 Lunch break
13:30-14:15 Keynote talk 3: "Group Action Induced Distances for Averaging and Clustering Linear Dynamical Systems", Rene Vidal (The Johns Hopkins University)
Oral Session 2 (14:15 – 15:35)
. 14:15-14:35 Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests
on Manifold-valued data, Viskas Singh; Ligang Zheng; Hyunwoo J Kim; Michael Newton; Nagesh Adluru
. 14:35-14:55 Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape
Analysis, Qiao Wang; Pavan Turaga; Chaitanya P Potaraju
. 14:55-15:15 Learning Shape Trends: Parameter Estimation in Diffusions on Shape Manifolds, Valentina Staneva
. 15:15-15:35 A Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes, Susovan Pal; Katherine Narr; Elizabeth Sowell; Suchit
Panjiyar; Roger Woods; Shantanu Joshi
15:35-16:00 Coffee break
16:00-16:45 Keynote talk 4: "Stochastic Models and Lie Groups in Robotics", Gregory Chirikjian (The Johns Hopkins University)
16:45 -18:30 Poster Session
. 16:45 -18:30 Signal Classification in Quotient Spaces via Globally Optimal Variational Calculus, Gregory S. Chirikjian
. 16:45 -18:30 Manifold Guided Label Transfer for Deep Domain Adaptation, Breton Minnehan, Andreas Savakis
. 16:45 -18:30 The Square Root Velocity Framework for Curves in a Homogeneous Space, Zhe Su;
Martin Bauer; Eric Klassen
. 16:45 -18:30 Poisson Disk Sampling on the Grassmannnian: Applications in Subspace Optimization, Peer-Timo Bremer; Jayaraman J. Thiagarajan; Rushil Anirudh; Bhavya Kailkhura
. 16:45 -18:30 Riemannian Variance Filtering: An Independent Filtering Scheme for Statistical Tests
on Manifold-valued data, Viskas Singh; Ligang Zheng; Hyunwoo J Kim; Michael Newton; Nagesh Adluru
. 16:45 -18:30 Measuring Glide-Reflection Symmetry in Human Movements Using Elastic Shape
Analysis, Qiao Wang; Pavan Turaga; Chaitanya P Potaraju
. 16:45 -18:30 Learning Shape Trends: Parameter Estimation in Diffusions on Shape Manifolds, Valentina Staneva
. 16:45 -18:30 A Riemannian Framework for Linear and Quadratic Discriminant Analysis on the Tangent Space of Shapes, Susovan Pal; Katherine Narr; Elizabeth Sowell; Suchit
Panjiyar; Roger Woods; Shantanu Joshi
18:30-18:45 Best Paper Award and Closing Remarks
