Sun, 07 Aug 2011 ⊕Category: scikit-learn
#efficient #numpy #omp #orthogonal matching pursuit #scipy #dictionary learning #scikit-learn #python

After intense code optimization work, my implementation of OMP finally beat least-angle regression! This was the primary issue discussed during the pull request, so once performance was taken care of, the code was ready for merge. Orthogonal matching pursuit is now available in scikits.learn as a sparse linear regression …

Sun, 10 Jul 2011 ⊕Category: scikit-learn
#dictionary learning #k-means #scikit-learn #vq #Uncategorized

[![Dictionary learned with K-Means on the LFW dataset with whitening PCA][]][][![Dictionary learned with K-Means on the LFW dataset without whitening PCA][]][]

One of the simplest, and yet most heavily constrained form of matrix factorization, is vector quantization (VQ). Heavily used in image/video compression, the VQ problem is a …

Thu, 07 Jul 2011 ⊕Category: scikit-learn
#denoising #dictionary learning #scikit-learn

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.)

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The dictionary contains 100 atoms …