MLSP-P1: Dictionary Learning, Representation Learning and Matrix Completion |
Session Type: Poster |
Time: Tuesday, 5 May, 11:30 - 13:30 |
Location: On-Demand |
Virtual Session: View on Virtual Platform |
Session Chair: Dmitriy Shutin, German Aerospace Center (DLR) |
MLSP-P1.1: LOW MUTUAL AND AVERAGE COHERENCE DICTIONARY LEARNING USING CONVEX APPROXIMATION |
Javad Parsa; Sharif University of Technology |
Mostafa Sadeghi; Inria Grenoble Rhône-Alpes |
Massoud Babaie-Zadeh; Sharif University of Technology |
Christian Jutten; GIPSA-Lab |
MLSP-P1.2: ROBUST ONLINE MATRIX COMPLETION WITH GAUSSIAN MIXTURE MODEL |
Chunsheng Liu; National University of Defense Technology |
Chunlei Chen; Weifang University |
Hong Shan; National University of Defense Technology |
Bin Wang; National University of Defense Technology |
MLSP-P1.3: DEEP NEURAL NETWORK BASED MATRIX COMPLETION FOR INTERNET OF THINGS NETWORK LOCALIZATION |
Sunwoo Kim; Seoul National University |
Luong Trung Nguyen; Seoul National University |
Byonghyo Shim; Seoul National University |
MLSP-P1.4: BRINGING IN THE OUTLIERS: A SPARSE SUBSPACE CLUSTERING APPROACH TO LEARN A DICTIONARY OF MOUSE ULTRASONIC VOCALIZATIONS |
Jiaxi Wang; University of Southern California |
Karel Mundnich; University of Southern California |
Allison Knoll; University of Southern California |
Pat Levitt; University of Southern California |
Shrikanth Narayanan; University of Southern California |
MLSP-P1.5: ONE-BIT COMPRESSED SENSING USING GENERATIVE MODELS |
Geethu Joseph; Syracuse University |
Swatantra Kafle; Syracuse University |
Pramod Varshney; Syracuse University |
MLSP-P1.6: HYBRID DEEP-SEMANTIC MATRIX FACTORIZATION FOR TAG-AWARE PERSONALIZED RECOMMENDATION |
Zhenghua Xu; Hebei University of Technology |
Di Yuan; Hebei University of Technology |
Thomas Lukasiewicz; University of Oxford |
Cheng Chen; China Academy of Electronics and Information Technology |
Yishu Miao; University of Oxford |
Guizhi Xu; Hebei University of Technology |
MLSP-P1.7: SUPERVISED ENCODING FOR DISCRETE REPRESENTATION LEARNING |
Cat Le; Duke University |
Yi Zhou; University of Utah |
Jie Ding; University of Minnesota |
Vahid Tarokh; Duke University |
MLSP-P1.8: LEARNING DATA REPRESENTATION AND EMOTION ASSESSMENT FROM PHYSIOLOGICAL DATA |
Miguel Joaquim; Universidade de Lisboa |
Rita Maçorano; Universidade de Lisboa |
Francisca Canais; Universidade de Lisboa |
Rafael Ramos; Universidade de Lisboa |
Ana Fred; Instituto Superior Técnico, Universidade de Lisboa |
Marco Torrado; Universidade de Lisboa |
Hugo Ferreira; Universidade de Lisboa |
MLSP-P1.9: FEATURE SELECTION UNDER ORTHOGONAL REGRESSION WITH REDUNDANCY MINIMIZING |
Xueyuan Xu; Beijing Normal University |
Xia Wu; Beijing Normal University |
MLSP-P1.10: THE PICASSO ALGORITHM FOR BAYESIAN LOCALIZATION VIA PAIRED COMPARISONS IN A UNION OF SUBSPACES MODEL |
Gregory Canal; Georgia Institute of Technology |
Marissa Connor; Georgia Institute of Technology |
Jihui Jin; Georgia Institute of Technology |
Namrata Nadagouda; Georgia Institute of Technology |
Matthew O'Shaughnessy; Georgia Institute of Technology |
Christopher Rozell; Georgia Institute of Technology |
Mark Davenport; Georgia Institute of Technology |
MLSP-P1.11: LEARNING SEMI-SUPERVISED ANONYMIZED REPRESENTATIONS BY MUTUAL INFORMATION |
Clement Feutry; CentraleSupelec-CNRS-Universite Paris Sud |
Pablo Piantanida; CentraleSupelec-CNRS-Universite Paris Sud |
Pierre Duhamel; CNRS-CentraleSupelec-Universite Paris Sud |
MLSP-P1.12: LEARNING LOCAL STRUCTURE OF REPRESENTATIVE POINTS FOR POINT CLOUD CLASSIFICATION AND SEMANTIC SEGMENTATION |
Xincheng Li; Tianjin University |
Yanwei Pang; Tianjin University |
Yuefeng Wu; Tianjin University |
Yazhao Li; Tianjin University |