I am presenting an image denoising example that fully runs under my
local scikits-learn fork. Coming soon near you!
The 400 square pixels area covering Lena’s face was distorted by
additive gaussian noise with a standard deviation of 50 (pixel values
are ranged 0-256.)
After a little busy while, I have graduated and entered the summer
vacation, which means time for serious GSoC work.
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So we had a little conference in order to discuss what will be done and
when. We gathered quite a few code snippets since the official start of
the project …
I am working on implementing the Orthogonal Matching Pursuit (OMP)
algorithm for the scikit. It is an elegant algorithm (that almost writes
itself in Numpy!) to compute a greedy approximation to the solution of a
sparse coding problem:
$$ \text{argmin} \big|\big|\gamma\big|\big|_0 \text{ subject
to }\big …