Wednesday, March 7, 2012

Video Talk on Unsupervised learning by Andrew Ng

Input->low-level features->learning algorithm

Feature learning via sparse coding

ML application:
Activity recognition (Hollywood 2 benchmark);
Sparse coding on audio;
sparse DBN for audio;
phoneme classification (TIMIT benchmark);

http://cs249a.stanford.edu

http://www.youtube.com/watch?v=ZmNOAtZIgIk

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