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02/14/2023
Horocycle Decision Boundaries for Large Margin Classification in Hyperbolic Space
Hyperbolic spaces have been quite popular in the recent past for represe...
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12/03/2021
Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design
Hyperbolic neural networks have been popular in the recent past due to t...
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10/27/2020
Nested Grassmanns for Dimensionality Reduction
Grassmann manifolds have been widely used to represent the geometry of f...
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09/28/2020
Shrinkage Estimation of the Frechet Mean in Lie groups
Data in non-Euclidean spaces are commonly encountered in many fields of ...
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07/04/2020
An Empirical Bayes Approach to Shrinkage Estimation on the Manifold of Symmetric Positive-Definite Matrices
The James-Stein estimator is an estimator of the multivariate normal mea...
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03/02/2020
MVC-Net: A Convolutional Neural Network Architecture for Manifold-Valued Images With Applications
Geometric deep learning has attracted significant attention in recent ye...
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05/31/2018
A mixture model for aggregation of multiple pre-trained weak classifiers
Deep networks have gained immense popularity in Computer Vision and othe...
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05/29/2018
Statistical Recurrent Models on Manifold valued Data
In a number of disciplines, the data (e.g., graphs, manifolds) to be ana...
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07/13/2016
