Matyas A. Sustik and Brian Kulis - Free people check

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master - GitHub

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... Low-Rank Kernel Matrices by Brian Kulis, Matyas Sustik, Inderjit Dhillon. › wwcohen › blob › master › sched

Transcript of INDERJIT S. DHILLON - Department of Computer ...

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Brian Kulis in (Assistant Professor, Boston University), Prateek Jain in2009 (Researcher, Microsoft Research, Bangalore), Matyas Sustik in › amp › document › inderjit-s-dhi...

video analytics with spatio-temporal - UNT Digital Library

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[67] Brian Kulis, Matyas Sustik, and Inderjit Dhillon, Learning low-rank kernel matrices, Inter- national Conference on Machine Learning (ICML), 2006, pp. › ark: › dissertation

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How to minimize the Bregman divergence on a convex hull ...

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and can also be found in many papers, such as "Brian Kulis, Matyas Sustik, & Inderjit Dhillon. Low-Rank Kernel Learning with Bregman Matrix Divergences. › questions › how-to-minimize...

Thesis Reference - Archive ouverte UNIGE

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by TTH Do · · Cited by 4 — Brian Kulis, Matyas Sustik, and Inderjit Dhillon. Learning low-rank kernel matrices. In International. Conference on Machine Learning, › ATTACHMENT01

Workshop on Algorithms for Modern Massive Datasets ...

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Joint work with Brian Kulis, Matyas Sustik and Joel Tropp. Inderjit Dhillon Department of Computer Sciences University of Texas, Austin 2:00-3:00 AN ... › Workshop-on-algorit...

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Matyas A. Sustik and Brian Kulis Free People Check