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 |