Algorithmic Advances in Riemannian Geometry and Applications: For Machine Learning, Computer Vision,

Introduction
Hà Quang Minh and Vittorio Murino

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

Sampling Constrained Probability Distributions using Spherical Augmentation
Shiwei Lan and Babak Shahbaba

Geometric Optimization in Machine Learning
Suvrit Sra and Reshad Hosseini

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

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

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

Regression on Lie Groups and its Application to Affine Motion Tracking
Fatih Porikli