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Tuesday, August 13 • 3:00pm - 4:30pm
Research Session 11: Scalable methods for big data

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773 Comparing Apples to Oranges: A Scalable Solution with Heterogeneous Hashing
Authors: Mingdong Ou, Tsinghua University; Peng Cui, Tsinghua University; Fei Wang, IBM T. J. Watson Research Lab; Jun Wang, IBM Research

166 Fast and Scalable Polynomial Kernels via Explicit Feature Maps
Authors: Ninh Pham, IT University of Copenhagen; Rasmus Pagh, IT University of Copenhagen

434 Indexed Block Coordinate Descent for Large-Scale Linear Classification with Limited Memory
Authors: En-Hsu Yen, National Taiwan University; Chun-Fu Chang, National Taiwan University; Ting-Wei Lin, National Taiwan University; Shan-Wei Lin, National Taiwan University; Shou-De Lin, National Taiwan University

577 Recursive Regularization for Large-scale Classification with Hierarchical and Graphical Dependencies
Authors: Siddharth Gopal, CMU; Yiming Yang, CMU

Tuesday August 13, 2013 3:00pm - 4:30pm CDT
Chicago 8

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