[PDF][PDF] SnJulia: A Julia toolkit for Harmonic analysis on the Symmetric group

G Plumb, D Pachauri, R Kondor, V Singh - 2014 - pages.cs.wisc.edu
SnJulia is an easy to use software library written in the Julia language to facilitate harmonic
analysis on the symmetric group of degree n, denoted Sn and make it more easily …

[PDF][PDF] SnFFT: a Julia toolkit for Fourier analysis of functions over permutations

G Plumb, D Pachauri, R Kondor, V Singh - The Journal of Machine Learning …, 2015 - jmlr.org
SnFFT is an easy to use software library written in the Julia language to facilitate Fourier
analysis on the symmetric group (set of permutations) of degree n, denoted Sn and make it …

Topics in Harmonic Analysis, Sparse Representations, and Data Analysis

W Li - 2018 - search.proquest.com
Classical harmonic analysis has traditionally focused on linear and invertible
transformations. Motivated by modern applications, there is a growing interest in non-linear …

Clustering rankings in the Fourier domain

S Clémençon, R Gaudel, J Jakubowicz - Joint European Conference on …, 2011 - Springer
It is the purpose of this paper to introduce a novel approach to clustering rank data on a set
of possibly large cardinality n∈ ℕ*, relying upon Fourier representation of functions defined …

How to Group: From Time Series to Manifold

R Cosentino-Faugere - 2021 - search.proquest.com
This thesis addresses the problem of data representation for pattern recognition by focusing
on three fundamental properties: the efficiency, adaptivity, and interpretability of the …

Applied Harmonic Analysis and Data Science

I Daubechies, G Kutyniok, H Rauhut, T Strohmer - Oberwolfach Reports, 2022 - ems.press
Data science has become a field of major importance for science and technology nowadays
and poses a large variety of challenging mathematical questions. The area of applied …

[PDF][PDF] Applied Harmonic Analysis, Massive Data Sets, Machine Learning, and Signal Processing

E Candes, R Coifman, A Singer, T Strohmer - 2016 - archytas.birs.ca
Advances in technology and the ever-growing role of digital sensors and computers in
science have led to an exponential growth in the amount and complexity of data we collect …

[图书][B] Harmonic analysis

PET Jorgensen - 2018 - books.google.com
There is a recent and increasing interest in harmonic analysis of non-smooth geometries.
Real-world examples where these types of geometry appear include large computer …

Exploring Rawlsian fairness for k-means clustering

S Simoes, P Deepak, M MacCarthaigh - Responsible Data Science: Select …, 2022 - Springer
We conduct an exploratory study that looks at incorporating John Rawls' ideas on fairness
into existing unsupervised machine learning algorithms. Our focus is on the task of …

On Invariance, Equivariance, Correlation and Convolution of Spherical Harmonic Representations for Scalar and Vectorial Data

J Keuper - arXiv preprint arXiv:2307.03311, 2023 - arxiv.org
The mathematical representations of data in the Spherical Harmonic (SH) domain has
recently regained increasing interest in the machine learning community. This technical …