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1
Intro
2
Outline
3
Vectors - use
4
Vector operations
5
Matrix - use
6
Matrix operation
7
Transformation - scaling
8
Transformation - rotation
9
Linear independence
10
Intuition
11
Matrix factorization
12
Singular value decomposition
13
SVD application
Description:
Dive into essential linear algebra concepts in this comprehensive lecture from the University of Central Florida's CAP5415 course. Explore vector and matrix operations, transformations including scaling and rotation, linear independence, and matrix factorization. Gain intuition on these fundamental topics and discover the applications of singular value decomposition (SVD) in computer vision and machine learning.

Linear Algebra Basics for Computer Vision - Lecture 2

University of Central Florida
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