SPTM-L8: Classification and Pattern Recognition |
Session Type: Lecture |
Time: Friday, May 31, 15:20 - 17:20 |
Location: Room 211 |
Session Chair: Venu Veeravalli, University of Illinois, Urbana-Champain
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SPTM-L8.1: MULTIVARIATE STUDENT'S-T MIXTURE MODEL FOR BOUNDED SUPPORT DATA |
Thanh Nguyen; University of Windsor |
Jonathan Wu; University of Windsor |
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SPTM-L8.2: MINIMAX SPARSE DETECTION BASED ON ONE-CLASS CLASSIFIERS |
Raja Fazliza Raja Suleiman; Laboratoire Lagrange, UMR 7293, Université de Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur |
David Mary; Laboratoire Lagrange, UMR 7293, Université de Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur |
André Ferrari; Laboratoire Lagrange, UMR 7293, Université de Nice Sophia-Antipolis, CNRS, Observatoire de la Côte d'Azur |
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SPTM-L8.3: RELIABLE CLASSIFICATION BY UNRELIABLE CROWDS |
Aditya Vempaty; Syracuse University |
Lav Varshney; IBM T.J. Watson Research Center |
Pramod K. Varshney; Syracuse University |
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SPTM-L8.4: AUTHORSHIP ATTRIBUTION USING FUNCTION WORDS ADJACENCY NETWORKS |
Santiago Segarra; University of Pennsylvania |
Mark Eisen; University of Pennsylvania |
Alejandro Ribeiro; University of Pennsylvania |
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SPTM-L8.5: A NEW GEOMETRIC APPROACH TO LATENT TOPIC MODELING AND DISCOVERY |
Weicong Ding; Boston University |
Mohammad Hossein Rohban; Boston University |
Prakash Ishwar; Boston University |
Venkatesh Saligrama; Boston University |
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SPTM-L8.6: A CONTROLLED SENSING APPROACH TO GRAPH CLASSIFICATION |
Jonathan Ligo; University of Illinois at Urbana-Champaign |
George Atia; University of Central Florida |
Venugopal V. Veeravalli; University of Illinois at Urbana-Champaign |
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