Applied harmonic analysis and data processing. Abstracts from the workshop held March 25--31, 2018
type: Item
instance of: scholarly article
title: Applied harmonic analysis and data processing. Abstracts from the workshop held March 25--31, 2018
zbMATH Open document ID: 1409.00083
DOI: 10.4171/OWR/2018/14
published in: Oberwolfach Reports
publication date: 2019-03-15T00:00:00Z
review text: Summary: Massive data sets have their own architecture. Each data source has an inherent structure, which we should attempt to detect in order to utilize it for applications, such as denoising, clustering, anomaly detection, knowledge extraction, or classification. Harmonic analysis revolves around creating new structures for decomposition, rearrangement and reconstruction of operators and functions -- in other words inventing and exploring new architectures for information and inference. Two previous very successful workshops on applied harmonic analysis and sparse approximation have taken place in 2012 and in 2015. This workshop was the an evolution and continuation of these workshops and intended to bring together world leading experts in applied harmonic analysis, data analysis, optimization, statistics, and machine learning to report on recent developments, and to foster new developments and collaborations.
Mathematics Subject Classification ID: 00B05
Mathematics Subject Classification ID: 00B25
Mathematics Subject Classification ID: 65Txx
Mathematics Subject Classification ID: 15B52
Mathematics Subject Classification ID: 42-06
Mathematics Subject Classification ID: 42Cxx
Mathematics Subject Classification ID: 94A20
zbMATH DE Number: 7036472
describes a project that uses: k-means++
describes a project that uses: NEWUOA
describes a project that uses: PcGets
describes a project that uses: LASSO
describes a project that uses: MedTree
describes a project that uses: BEGAN
describes a project that uses: CometBoards
describes a project that uses: COBYLA2
describes a project that uses: MNIST
describes a project that uses: REPSN
describes a project that uses: MONC
describes a project that uses: OpenGeoProver
describes a project that uses: GitHub
MaRDI profile type: Publication
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Applied harmonic analysis and data processing. Abstracts from the workshop held March 25--31, 2018 (full work available at URL)
full work available at URL: https://doi.org/10.4171/owr/2018/14

Applied harmonic analysis and data processing. Abstracts from the workshop held March 25--31, 2018 (OpenAlex ID)
OpenAlex ID: W2907444416

Applied harmonic analysis and data processing. Abstracts from the workshop held March 25--31, 2018 (Wikidata QID)
Wikidata QID: Q128638806