Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis NIKOSK MICROSOFT COM Paul Mineiro PMINEIRO MICROSOFT COM Microsoft CISL  Microsoft Way Redmond WA  USA Abstract Representing
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Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis NIKOSK MICROSOFT COM Paul Mineiro PMINEIRO MICROSOFT COM Microsoft CISL Microsoft Way Redmond WA USA Abstract Representing

In this paper we investigate scalable techniques for inducing discriminative features by taking ad vantage of simple second order structure in the data We focus on multiclass classi64257cation and show that features extracted from the generalized ei

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Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis NIKOSK MICROSOFT COM Paul Mineiro PMINEIRO MICROSOFT COM Microsoft CISL Microsoft Way Redmond WA USA Abstract Representing




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Presentation on theme: "Discriminative Features via Generalized Eigenvectors Nikos Karampatziakis NIKOSK MICROSOFT COM Paul Mineiro PMINEIRO MICROSOFT COM Microsoft CISL Microsoft Way Redmond WA USA Abstract Representing"— Presentation transcript: