Lecture

SVD: Singular Value Decomposition

Description

This lecture covers the concept of Singular Value Decomposition (SVD), which is used to compress information. The instructor explains how SVD can be applied to matrices, particularly in the context of compressing image data. The lecture delves into the mathematical foundations of SVD, discussing the properties of orthogonal matrices and diagonal matrices. Various examples are provided to illustrate the application of SVD in compressing information and its relevance in different scenarios.

About this result
This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.