Algorithmic Advances in Riemannian Geometry and Applications

1. Bayesian Statistical Shape Analysis on the Manifold of Diffeomorphisms
Miaomiao Zhang, P. Thomas Fletcher

2. Sampling Constrained Probability Distributions Using Spherical Augmentation
Shiwei Lan, Babak Shahbaba

3. Geometric Optimization in Machine Learning
Suvrit Sra, Reshad Hosseini

4. Positive Definite Matrices:
Data Representation
and Applications to Computer Vision
Anoop Cherian, Suvrit Sra

5. From Covariance Matrices to Covariance Operators: Data Representation from Finite to Infinite-Dimensional Settings
Hà Quang Minh, Vittorio Murino

6. Dictionary Learning on Grassmann Manifolds
Mehrtash Harandi, Richard Hartley, Mathieu Salzmann, Jochen Trumpf

7. Regression on Lie Groups and Its Application to Affine Motion Tracking
Fatih Porikli

8. An Elastic Riemannian Framework for Shape Analysis
of Curves and Tree-Like Structures
Adam Duncan, Zhengwu Zhang, Anuj Srivastava

Avainsanat: Computer Science, Pattern Recognition, Computational Intelligence, Statistics and Computing/Statistics Programs, Mathematical Applications in Computer Science, Artificial Intelligence (incl. Robotics), Probability and Statistics in Computer Science