Browsing Computational Science and Engineering Seminar Series by Subject "Learning"
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(Georgia Institute of Technology, 2010-09-17)Principal Component Analysis is the most widely used technique for high-dimensional or large data. For typical applications (nearest neighbor, clustering, learning), it is not hard to build examples on which PCA "fails." ...