Technical Program

MLSP-P5: Classification and Pattern Recognition

Session Type: Poster
Time: Thursday, May 30, 10:30 - 12:30
Location: Poster Area E
Session Chair: Raviv Raich, Oregon State University
 
MLSP-P5.1: RECOGNIZING HUMAN ACTIONS BY BP-ADABOOST ALGORITHM UNDER A HIERARCHICAL RECOGNITION FRAMEWORK
         Nijun Li; Southeast University
         Xu Cheng; Southeast University
         Suofei Zhang; Southeast University
         Zhenyang Wu; Southeast University
 
MLSP-P5.2: MULTIRESOLUTION CLASSIFICATION WITH SEMI-SUPERVISED LEARNING FOR INDIRECT BRIDGE STRUCTURAL HEALTH MONITORING
         Siheng Chen; Carnegie Mellon University
         Fernando Cerda; Universidad de Concepción
         Jia Guo; Carnegie Mellon University
         Joel B. Harley; Carnegie Mellon University
         Qing Shi; Carnegie Mellon University
         Piervincenzo Rizzo; University of Pittsburgh
         Jacobo Bielak; Carnegie Mellon University
         James Garrett; Carnegie Mellon University
         Jelena Kovačević; Carnegie Mellon University
 
MLSP-P5.3: MAXIMUM DISCRIMINANT MARGIN TRANSFORM OF DISCRIMINANT FUNCTIONS
         Fabian Schmieder; University of Stuttgart
         Bin Yang; University of Stuttgart
 
MLSP-P5.4: LARGE-SCALE MALWARE CLASSIFICATION USING RANDOM PROJECTIONS AND NEURAL NETWORKS
         George Dahl; University of Toronto
         Jack W. Stokes; Microsoft Research
         Li Deng; Microsoft Research
         Dong Yu; Microsoft Research
 
MLSP-P5.5: DISCRIMINATIVE AND COMPACT DICTIONARY DESIGN FOR HYPERSPECTRAL IMAGE CLASSIFICATION USING LEARNING VQ FRAMEWORK
         Zhaowen Wang; University of Illinois at Urbana-Champaign
         Nasser Nasrabadi; US Army Research Lab
         Thomas Huang; University of Illinois at Urbana-Champaign
 
MLSP-P5.6: HIERARCHICAL CLASSIFICATION FUSION FRAMEWORK
         Asmar Azar Khan; Lancaster University
         Costas Xydeas; Lancaster University
         Hassan Ahmed; Lancaster University
 
MLSP-P5.7: PERFORMANCE OF LINEAR DISCRIMINANT ANALYSIS IN STOCHASTIC SETTINGS
         Amin Zollanvari; Texas A&M University
         Jianping Hua; Translational Genomics Research Institute (TGEN)
         Edward R. Dougherty; Texas A&M University
 
MLSP-P5.8: HIERARCHICAL BAYESIAN LEARNING FOR ELECTRICAL TRANSIENT CLASSIFICATION
         Matthieu Sanquer; GIPSA-Lab
         Florent Chatelain; GIPSA-Lab
         Mabrouka El-Guedri; EDF R&D
         Nadine Martin; GIPSA-Lab
 
MLSP-P5.9: MULTIMODAL MUSIC EMOTION CLASSIFICATION USING ADABOOST WITH DECISION STUMPS
         Dan Su; Hong Kong University of Science and Technology
         Pascale Fung; Hong Kong University of Science and Technology
         Nicolas Auguin; Hong Kong University of Science and Technology
 
MLSP-P5.10: COMPETITIVE AND ONLINE PIECEWISE LINEAR CLASSIFICATION
         Huseyin Ozkan; Bilkent University
         Mehmet Donmez; Koc University
         Ozgun Pelvan; Turk Telekom Group
         Arda Akman; Turk Telekom Group
         Suleyman Kozat; Bilkent University
 
MLSP-P5.11: EFFICIENT MONTE CARLO OPTIMIZATION FOR MULTI-LABEL CLASSIFIER CHAINS
         Jesse Read; Universidad Carlos III de Madrid
         Luca Martino; Universidad Carlos III de Madrid
         David Luengo; Universidad Politécnica de Madrid
 
MLSP-P5.12: CLASSIFICATION WITH MINIMUM EXPECTED ERROR OVER AN UNCERTAINTY CLASS OF GAUSSIAN DISTRIBUTIONS
         Lori Dalton; The Ohio State University
 
MLSP-P5.13: IMAGE RECOGNITION BASED ON SEPARABLE LATTICE TRAJECTORY 2-D HMMS
         Akira Tamamori; Nagoya Institute of Technology
         Yoshihiko Nankaku; Nagoya Institute of Technology
         Keiichi Tokuda; Nagoya Institute of Technology
 
MLSP-P5.14: A HETEROGENEOUS DICTIONARY MODEL FOR REPRESENTATION AND RECOGNITION OF HUMAN ACTIONS
         Rushil Anirudh; Arizona State University
         Karthikeyan Ramamurthy; Arizona State University
         Jayaraman J. Thiagarajan; Arizona State University
         Pavan Turaga; Arizona State University
         Andreas Spanias; Arizona State University