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Learning Product published presentations and documents on DocSlides.

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pamella-moone
25 Slides

September 2013 Doc ID 1451 Rev 6 125 TDA2005 20 W...

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4 Slides

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Object Segmentation by Long Term Analysis of Point Trajectories Thomas Brox and Jitendra Malik University of California at Berkeley AlbertLudwigsUniversity of Freiburg Germany broxmalik eecs

giovanna-bartolotta
14 Slides

berkeleyedu Abstract Unsupervised learning require...

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natalia-silvester
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RECENT ADVANCES IN DEEP LEARNING FOR SP EECH RESEARCH AT MIC ROSOFT Li Deng Jinyu Li Jui Ting Huang Kaisheng Yao Dong Yu Frank Seide Michael L

marina-yarberry
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phoebe-click
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All students are expected to achieve the Geometry...

Learning Loworder Models for Enforcing Highorder Statistics Patrick Pletscher Pushmeet Kohli ETH Zurich Zurich Switzerland Microsoft Research Cambridge UK Abstract Models such as pairwise conditional

min-jolicoeur
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However they have limited expressive power and of...

Descriptor Learning for Ecient Retrieval James Philbin MichaelIsard JosefSivic and Andrew Zisserman Visual Geometry Group Department of Engineering Science University of Oxford INRIA WILLOW Laborato

alida-meadow
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Many visual search and matching systems represent...

On Invariance in Hierarchical Models Jake Bouvrie Lorenzo Rosasco and Tomaso Poggio Center for Biological and Computational Learning Massachusetts Institute of Technology Cambridge MA USA jvblrosasco

giovanna-bartolotta
9 Slides

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Largescale Multilabel Learning with Missing Labels HsiangFu Yu ROFUYU CS UTEXAS EDU Department of Computer Science University of Texas at Austin Prateek Jain PRAJAIN MICROSOFT COM Purushottam Kar PUR

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briana-ranney
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Boosting multistep autoregressive forecasts Souhaib Ben Taieb SBENTAIE ULB AC BE Machine Learning Group Computer Science Department Faculty of Sciences Universit e Libre de Bruxelles Brussels Belgium

natalia-silvester
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Learning to parse images of articulated bodies Deva Ramanan Toyota Technological Institute at Chicago Chicago IL ramananttic

pamella-moone
8 Slides

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16 Slides

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Exploiting Unrelated Tasks in MultiTask Learning Bernardino RomeraParedes Andreas Argyriou Nadia BianchiBerthouze Massimiliano Pontil Dept

giovanna-bartolotta
9 Slides

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An Online Spectral Learning Algorithm for Partially Observable Nonlinear Dynamical Systems Byron Boots Machine Learning Department Carnegie Mellon University Pittsburgh Pennsylvania Geoffrey J

cheryl-pisano
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celsa-spraggs
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ENNIE C ENTE FOR EDUCATION RESEARCH POLICY Introduction The vast majority of students in K public education attend schools dened by traditional notions of teaching and learning

olivia-moreira
20 Slides

While there have been signi64257cant efforts in r...

Learning Finegrained Image Similarity with Deep Ranking Jiang Wang Yang Song Thomas Leung Chuck Rosenberg Jingbin Wang James Philbin Bo Chen Ying Wu Northwestern University Google Inc

stefany-barnette
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Learning and Making Decisions When Costs and Pr obabilities are Both Unkno wn Bianca Zadrozn and Char les Elkan Depar tment of Computer Science and Engineer ing Univ ersity of Calif or nia San Diego

pasty-toler
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natalia-silvester
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pasty-toler
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Journal of Machine Learning Research Submitted Published A Neural Probabilistic Language Model Yoshua Bengio BENGIOY IRO UMONTREAL CA Rjean Ducharme DUCHARME IRO UMONTREAL CA Pascal Vincent VINC

alexa-scheidler
19 Slides

This is intrinsically dif64257cult because of the...

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Implementation Xiaojun Qi Choice of Programming Language The language is usually specified in the contract But what if the contract specifies that The product is to be implemented in the most suit

phoebe-click
5 Slides

Which is the most appropriate object oriented la...

Efcient Learning of Sparse Representations with an EnergyBased Model MarcAurelio Ranzato Christopher Poultney Sumit Chopra Yan n LeCun Courant Institute of Mathematical Sciences New York University N

alexa-scheidler
8 Slides

nyuedu Abstract We describe a novel unsupervised m...