Nice. Have you used it with success for real image classification tasks?
I see you have been involved in the cats vs dogs kaggle competition. Is learning a linear model, if so we might consider including the such KMeansCoder as part of the sklearn.feature_extraction.image module and write an example for that dataset. Many people ask us how to use scikit-learn for image classification and we have no getting started example to point them at. If the KMeans patch encoder proves to be a reasonable baseline I would be +1 for having it as part of scikit-learn. Do you do some max pooling + normalization on the output? -- Olivier ------------------------------------------------------------------------------ Rapidly troubleshoot problems before they affect your business. Most IT organizations don't have a clear picture of how application performance affects their revenue. With AppDynamics, you get 100% visibility into your Java,.NET, & PHP application. Start your 15-day FREE TRIAL of AppDynamics Pro! http://pubads.g.doubleclick.net/gampad/clk?id=84349831&iu=/4140/ostg.clktrk _______________________________________________ Scikit-learn-general mailing list Scikit-learn-general@lists.sourceforge.net https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
