SVD: Eigenfaces 2 [Matlab]

SVD: Eigenfaces 2 [Matlab]

Steve Brunton

4 года назад

15,581 Просмотров

This video describes how the singular value decomposition (SVD) can be used to efficiently represent human faces, in the so-called "eigenfaces" (Matlab code, part 2).

Book Website: http://databookuw.com
Book PDF: http://databookuw.com/databook.pdf

These lectures follow Chapter 1 from: "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Brunton and Kutz

Amazon: https://www.amazon.com/Data-Driven-Science-Engineering-Learning-Dynamical/dp/1108422098/

Brunton Website: eigensteve.com

This video was produced at the University of Washington

Тэги:

#Singular_value_decomposition #Matlab #machine_learning #Compression #Data_science #eigenfaces #Linear_algebra #Principal_component_analysis #SVD #PCA
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Комментарии:

babak ghorbani
babak ghorbani - 01.03.2021 08:43

Thank you so much for all the effort. I suppose the fact that you used first 64 columns of U (and not V) while previously you had V in your notes and in your last two examples is because you had different rows and columns in this example [I mean you had features of the same experiment in each row previously while you have features of each experiment in one column here]. Am I right? Sorry if it's a stupid question but it's kind of made my mind so busy. Thanks again Steve for all the effort.

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Maciej Okoń
Maciej Okoń - 13.08.2020 01:44

This awkward moment when profesor Brunton shows the average face and its your face :D
I love this SVD course!!

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Mert Oğuzhan
Mert Oğuzhan - 08.07.2020 20:43

could you share training data set code

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cafemm
cafemm - 06.05.2020 20:54

thanks, you are a legend

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vvviiimmm
vvviiimmm - 10.02.2020 10:33

Steve, thanks for sharing!
Can you please clarify the logic behind subtracting the average face? How the resulting eigen faces will be different?

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Carter Woodson
Carter Woodson - 08.02.2020 08:11

Mindblown

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