Take the 2-minute tour ×
MathOverflow is a question and answer site for professional mathematicians. It's 100% free, no registration required.

Concretely if I use the first k eigenvectors find by PCA with a point set A,to project another sparse vector b to k dimension subspace, then use L1-magic to recover b. Will this be better than a Random Projecton. L1-magic is a software tool for compress sensing. b is not a vector from A, but possibly have the same distribution of A.

share|improve this question
    
Can you flesh this question out a bit? For example, where does b come from (is it an element of A)? What is L1magic--some kind of compressed sensing software? etc. –  Steve Huntsman Dec 18 '12 at 15:06
    
@Steve Hi Steve I changed my question a little, hope than will help. –  gstar2002 Dec 18 '12 at 15:51
add comment

Your Answer

 
discard

By posting your answer, you agree to the privacy policy and terms of service.

Browse other questions tagged or ask your own question.