Technical Program

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
 
SPTM-L8.1: MULTIVARIATE STUDENT'S-T MIXTURE MODEL FOR BOUNDED SUPPORT DATA
         Thanh Nguyen; University of Windsor
         Jonathan Wu; University of Windsor
 
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
 
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
 
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
 
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
 
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