2012/7/4 Buddy Rich <[email protected]> > > Hi, > I have a simple black image with three kinds of white objects in it (circle, > vertical rectangle and horizontal rectangle). > > I learn a dictionary with k atoms, then I would like to recombine the > "correct" atoms for rebuilding my three objects. > > Is there a method for this task?
If you put a sparsity constraint on the number of "active" atoms to use for each reconstruction then this is typically named "sparse coding". For instance : http://scikit-learn.org/dev/auto_examples/decomposition/plot_sparse_coding.html Otherwise this is just a (multi-output) regression problem. It can be solved with RidgeRegression, (soon) random forests or multiple single output regression model such as SVR trained independently. -- Olivier http://twitter.com/ogrisel - http://github.com/ogrisel ------------------------------------------------------------------------------ Live Security Virtual Conference Exclusive live event will cover all the ways today's security and threat landscape has changed and how IT managers can respond. Discussions will include endpoint security, mobile security and the latest in malware threats. http://www.accelacomm.com/jaw/sfrnl04242012/114/50122263/ _______________________________________________ Scikit-learn-general mailing list [email protected] https://lists.sourceforge.net/lists/listinfo/scikit-learn-general
