2 citations · 3 across the 5 of their papers we have counts for
5 papers
Exploring the Limitations of Structured Orthogonal Dictionary Learning
Anirudh Dash, Aditya Siripuram
This work is motivated by recent applications of structured dictionary learning, in particular when the dictionary is assumed to be the product of a few Householder atoms. We inves…
A Graph Theoretic Approach to Analyze the Developing Metaverse
Anirudh Dash
Despite staggering growth over the past couple of decades, the concept of the metaverse is still in its early stages. Eventually, it is expected to become a common medium connectin…
Fast Structured Orthogonal Dictionary Learning using Householder Reflections
Anirudh Dash, Aditya Siripuram
In this paper, we propose and investigate algorithms for the structured orthogonal dictionary learning problem. First, we investigate the case when the dictionary is a Householder…
Column Bound for Orthogonal Matrix Factorization
Anirudh Dash
This article explores the intersection of the Coupon Collector's Problem and the Orthogonal Matrix Factorization (OMF) problem. Specifically, we derive bounds on the minimum number…
Efficient Matrix Factorization Via Householder Reflections
Anirudh Dash, Aditya Siripuram
Motivated by orthogonal dictionary learning problems, we propose a novel method for matrix factorization, where the data matrix is a product of a Householder matrix $\…