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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