Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

RICA exercise: what should "sane results" look like? #13

Open
ypeels opened this issue Feb 18, 2015 · 4 comments
Open

RICA exercise: what should "sane results" look like? #13

ypeels opened this issue Feb 18, 2015 · 4 comments

Comments

@ypeels
Copy link

ypeels commented Feb 18, 2015

Does anybody have an example of the "sane results" mentioned in runSoftICA.m? Looks like image captions aren't supported, so I'll limit things to one image per post for legibility... For completeness, here is my source code...

Here's what I am getting for the default parameter values (10000 patches). normalized

@ypeels
Copy link
Author

ypeels commented Feb 18, 2015

Default parameter values (10000 patches) but without "Step 3) Normalize each patch", instead just setting x = patches. The reason for doing this is given 2 posts below.
unnormalized

@ypeels
Copy link
Author

ypeels commented Feb 18, 2015

200,000 patches + 32 filters (as in stlExercise.m) + normalization. Things look "over-regularized"...
stock-normalized

@ypeels
Copy link
Author

ypeels commented Feb 18, 2015

200,000 patches + 32 filters (as in stlExercise.m) + no normalization.

This was the only way I've found so far to obtain filters resembling the tutorial's (Step 2). I can get them to look somewhat more (qualitatively) like the tutorial's by tweaking lambda, but the result shown below is for default parameter values. stock-unnormalized

@ypeels ypeels changed the title RICA exercise: results? RICA exercise: what should "sane results" look like? Feb 18, 2015
@ypeels
Copy link
Author

ypeels commented Feb 19, 2015

An alternative? 200,000 patches + 32 filters + normalization + epsilon = 0.1 in zca2.m:
untitled

Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
None yet
Projects
None yet
Development

No branches or pull requests

1 participant