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Mathematical Representations and Models - Professor Jared Tanner, Oxford University

Offered By: Alan Turing Institute via YouTube

Tags

High-Dimensional Data Analysis Courses Fourier Series Courses Localization Courses Singular Value Decomposition Courses Compressed Sensing Courses Random Matrix Theory Courses

Course Description

Overview

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Explore mathematical representations and models in this 53-minute lecture by Professor Jared Tanner of Oxford University. Delve into topics such as Fourier series, localisation, coherence, match filtering, and random matrix theory. Learn about dictionary learning and singular value decomposition, with practical examples provided. Gain insights from a renowned expert in applied mathematics and information theory, whose research focuses on extracting models from high-dimensional data. Discover how these techniques enable more efficient information acquisition and handling of missing data, with applications in compressed sensing and matrix completion.

Syllabus

Intro
Overview
Fourier series
Localisation
Representation
Coherence
Match filtering
Triangle inequality
Random matrix theory
Dictionary learning
Singular value decomposition
Example


Taught by

Alan Turing Institute

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