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 …
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 …
Category: Uncategorized
#Uncategorized
Closing in on the goal of integrating J. Mairal’s dictionary learning in the scikit, I stitched together a couple of examples.
The code is not yet integrated according to our standards, but here is the kind of results you can expect.
Here is how a dictionary obtained from 8x8 …