Creating presentations similar to prezi.com with a #perl and #inkscape - http://github.com/masak/osdc-fr-2010-hardcore-bug-reporting

Creating presentations similar to prezi.com with a #perl and #inkscape - http://github.com/masak/osdc-fr-2010-hardcore-bug-reporting

  • ох, Масак крутой!

  • однозначно.. факт :-)

  • @zag, а как ты сделал анимацию, которую приложил к посту?

  • pdf -> png -> затем ls image-*.png | perl -0ne '$s= join " ",map {$_->[1]." "} sort { $a->[0] <=> $b->[0]} grep {$_->[0] > 73 } map{ /\-(\d+)/; [$1, $_]} split /\n/,$_; print "convert $s -resize 250 ani.gif"' | sh

Building Web Reputation Systems - http://www.amazon.co.uk/dp/059615979X/

Building Web Reputation Systems - http://www.amazon.co.uk/dp/059615979X/

YouTube - Building Web Reputation Systems - http://www.youtube.com/watch?v=Yn7e0J9m6rE

YouTube - Building Web Reputation Systems - http://www.youtube.com/watch?v=Yn7e0J9m6rE

Reputation Systems for Open Collaboration (google) / Репутационные системы http://research.google.com/pubs/archive/36757.pdf

Reputation Systems for Open Collaboration (google) / Репутационные системы http://research.google.com/pubs/archive/36757.pdf

Apache Mahout:: Scalable machine-learning and data-mining library. Mahout currently has: Collaborative Filtering, User and Item based recommenders, K-Means, Fuzzy K-Means clustering, Naive Bayes classifier ...

Apache Mahout:: Scalable machine-learning and data-mining library. Mahout currently has: Collaborative Filtering, User and Item based recommenders, K-Means, Fuzzy K-Means clustering, Naive Bayes classifier ... - link