Sparse Representation (for classification) with examples!

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Information Sparse Representation (for classification) with examples!

Title	:	Sparse Representation (for classification) with examples!
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Thank you Professor
Comment from : Chenghung Chou

Very good explanations sir Thank you
Comment from : Enes Kütükcü

the code links on the website doesnt work please help me with that they just direct to the corresponding video
Comment from : Osman Bulut

Thanks for such a great explanation
Comment from : Hamid

Thank you so much for this fantastic introduction to the concept, I was lost before this video, but now at least I have some footing
Comment from : Mantidream

Wait, does it mean, if CSI have a HUGEEEE database (the library of faces) and good computation power, they can actually get my face from the low definition security cameras? Like in theory
Comment from : long hui

Can't express how grateful I am for this wonderful content! Thank you for all the effort!
Comment from : Stoyanov Asparuh

Love the content and the explanations! 👏
Comment from : Dario Cazzani

yea!! matlab! nice thanks 4 the opportunity 2 examine this project! my mustache man, want have highlight's! brthe flow field's, remind's me of a fellow's theory that dark mater, could just be instrument correlation's!! or something like that!!forgot nowwow! this will be great!!
Comment from : *Future Innovation Five*

can you please help us in coding fft method to compute difference equation and stimulate using matlab
Comment from : 4NM19EC133 RAKSHITHA K SHET

Disturbed by how robust this is I'm concerned about companies selling this tech to the police/government, to allow them to identify people who are unhappy and protest, and assume that a mask or glasses will keep them safebrbrIs there any use for this that isn't dystopian? Honest question Most of my engineering/science cases have been reasonable, and nothing close to the @1:50 bottom row noise case I get that noisy signal detection and restoration is important, but this seems extreme
Comment from : asdfasdf1331

I've been reading your book / online material and watching your presentations, which are great! Thank you for all you do! I do have a question that I keep wondering, how could one construct a data collection policy that would provide the well-labelled data required for these kinds of algorithms? I know deep learning has it's place, but when I was working on mass data sets in the past for keystroke identification, we had massive data collection plans for supporting the collection of well-structured data sets when we were using classical machine learning techniques Obviously, labelled data is a challenge in all supervised learning models, but it seems SVD derived techniques are highly sensitive to pre-structured data collection How can proper feature engineering overcome real-world application, eg, like with a robust data collection policy?
Comment from : Aaron E

Thank you so much sir
Comment from : mbero akoko

I read this in your book some months ago This explanation help me to round the idea Thank You!
Comment from : Jair Condori

Love this series, but at the end of the talk I notice that you haven't completely erased your clear-board Still a few letters ghosting in the upper left
Comment from : Derek Woolverton