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my programming and machine learning blog gsoc 2011 student about rss subscribe rss feed my programming and machine learning blog gsoc 2011 student the nasty bug crawling in my orthogonal matching pursuit code november 18 2011 1 a while back bob l sturm blogged about a similar implementation of omp to the one in scikit learn instead of using the cholesky decomposition like we did his matlab code uses the qr decomposition to a similar or maybe even identical outcome in theory so lucky that alejandro pointed out to him the existence of tagged bug omp orthogonal matching pursuit posted in dictionary learning scikits learn sampling gamma random variates through the ratio of uniforms method october 9 2011 0 one year ago i had the chance to take a class on monte carlo simulation with prof ion văduva and my assignment for the class was to implement exactly what it says in the title of the blog post i am going to walk you through the idea behind this general formulation the ratio of uniforms is tagged monte carlo numpy random sampling ratio of uniforms scipy posted in python ranlp 2011 in hissar bg september 20 2011 1 last week was marked by the international ranlp recent advances in natural language processing conference taking place in a nice spa in hissar bulgaria the excellent folks from the computational linguistics group at the university of wolverhampton were behind it together with the institute of information and communication technologies from the bulgarian academy of sciences posted in conferences nlp dictionary learning in scikit learn 0 9 september 19 2011 0 thanks to olivier gaël and alex who reviewed the code heavily the last couple of days and with apologies for my lack of activity during a sequence of conferences dictionary learning has officially been merged into scikit learn master and just in time for the new scikit learn 0 9 release here are some glimpses of the examples posted in dictionary learning scikits learn long overdue update euroscipy and sslst 2011 september 5 2011 2 anybody reading my blog should have expected me to blog about the end of my gsoc sorry to disappoint but i simply did not experience anything similar to an ending on the contrary i feel like things have barely started also i apologize for one of the few posts here without pretty pictures for posted in uncategorized optimizing orthogonal matching pursuit code in numpy part 2 august 11 2011 2 edit there was a bug in the final version of the code presented here it is fixed now for its backstory check out my blog post on it when we last saw our hero he was fighting with the dreaded implementation of least angle regression knowing full well that it was his destiny to be faster tagged blas efficient lapack numpy omp orthogonal matching pursuit potrs scipy posted in dictionary learning python scikits learn optimizing orthogonal matching pursuit code in numpy part 1 august 7 2011 3 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 model omp is a key building tagged efficient numpy omp orthogonal matching pursuit scipy posted in dictionary learning python scikits learn progress on orthogonal matching pursuit august 2 2011 0 since orthogonal matching pursuit omp is an important part of signal processing and therefore crucial to the image processing aspect of dictionary learning i am currently focusing on optimizing the omp code and making sure it is stable omp is a forward method like least angle regression so it is natural to bench them against one tagged omp orthogonal matching pursuit posted in scikits learn sparsepca in scikits learn git july 19 2011 0 i am happy to announce that the sparse pca code has been reviewed and merged into the main scikits learn repository you can use it if you install the bleeding edge scikits learn git version by first downloading the source code as explained in the user s guide and then running python setup py install to see what code tagged pca principal components analysis scikits learn sparse pca sparsepca spca posted in scikits learn k means for dictionary learning july 10 2011 6 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 factorization where our dictionary is called the codebook and is designed to cover the cloud of data points effectively and each line of is a unit vector this tagged dictionary learning k means scikits learn vq posted in dictionary learning scikits learn uncategorized older posts about me i am a master s student at the university of bucharest interested in machine learning and natural language processing i am a contributor to the python machine learning library scikit learn archives november 2011 october 2011 september 2011 august 2011 july 2011 june 2011 may 2011 april 2011 march 2011 categories conferences dictionary learning nlp python scikits learn uncategorized blogroll bob l strum pursuits in the null space fabian pedregosa gaël varoquaux mathieu blondel my github profile nuit blanche scikits learn blog at wordpress com my programming and machine learning blog blog at wordpress com subscribe subscribed my programming and machine learning blog sign me up already have a wordpress com account log in now privacy my programming and machine learning blog subscribe subscribed sign up log in report this content view site in reader manage subscriptions collapse this bar loading comments write a comment email required name required website design a site like this with wordpress com get started