MLSP-P69: Conventional Machine Learning Methods and Applications
Poster
Thu, 7 May, 16:30 - 18:30
Location: Poster Area 41
Session Type: Poster
Track: Machine Learning for Signal Processing [ML]
Click the to view the manuscript on IEEE Xplore Open Preview

MLSP-P69.1: ASYMPTOTICALLY OPTIMAL BANDIT ONLINE CLUSTERING FOR SINGLE PARAMETER EXPONENTIAL FAMILY OF DISTRIBUTIONS

Dhinesh Chandran G, Indian Institute of Technology Madras, India; Srinivas Reddy Kota, Indian Institute of Technology Kharagpur, India; Srikrishna Bhashyam, Indian Institute of Technology Madras, India

MLSP-P69.2: Delay Embedding For Differential Graph Learning From Dependent Data

Jitendra Tugnait, Auburn University, United States of America

MLSP-P69.3: SPATIAL RELATIONSHIP-ENHANCED SELF-SUPERVISED TRAJECTORY LEARNING FOR TRIP RECOMMENDATION

Tenghao Zhang, Guangqi Liu, Peipei Wang, Xiaohui Han, Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center, Qilu University of Technology (Shandong Academy of Sciences), China

MLSP-P69.4: CL: PROTOTYPE-CONSTRAINED CONSISTENT LEARNING — TOWARD CONTROLLABLE AND CONSISTENT TRANSFER

Yitian Long, Fudan University, China; Zhongze Wu, Central South University, China; Feng Yang, Southeast University, China; Shan You, SenseTime Research, China; Hongyan Xu, Xiu Su, Central South University, China

MLSP-P69.5: Federated Clustering without k: Adaptive Prototype Aggregation on Heterogeneous Data

guanxiong He, Zheng Wang, Runxin Zhang, Bo Yan, Rong Wang, Feiping Nie, Northwestern Polytechnical University, Xian 710072, P.R. China, China

MLSP-P69.6: LEARNING TO CASCADE: A POMDP APPROACH TO SEQUENTIAL MODEL SELECTION

Ali Salehi Darjani, Daphney-Stavroula Zois, University at Albany, SUNY, Albany, NY, USA, United States of America

MLSP-P69.7: WICON: A LIGHTWEIGHT CONTINUAL LEARNING APPROACH FOR WIFI-BASED HUMAN ACTIVITY RECOGNITION VIA MASK-ADAPTIVE CLASSIFIER EXPANSION

Yimiao Deng, Tao Deng, Rong Li, Soochow University, China; Yi Zhao, Uppsala University, Sweden; Juncheng Jia, Soochow University, China; Sangsha Fang, Wenzhou Business College, China; Di Yuan, Uppsala University, Sweden

MLSP-P69.8: Risk level dependent Minimax Quantile lower bounds for Interactive Statistical Decision Making

Raghav Bongole, Amirreza Zamani, Tobias J. Oechtering, Mikael Skoglund, KTH Royal Institute of Technology, Sweden

MLSP-P69.9: DEEP FUZZY CLUSTERING WITH ANCHOR GRAPH PRESERVATION AND MEMBERSHIP ALIGNMENT

Jie Zhou, School of Artificial Intelligence, Shenzhen University, Shenzhen 518060,School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha 410114, China, China; Yuxi Chen, School of Artificial Intelligence, Shenzhen University, Shenzhen 518060, China, China; Guangming Lang, School of Mathematics and Statistics, Changsha University of Science and Technology, Changsha 410114, China, China; Can Gao, College of Computer Science and Software Engineering, Shenzhen University, Shenzhen 518060, China, China; Yue Guo, College of Electronic and Information Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 211106, China, China

MLSP-P69.10: ADAPTIVELY WEIGHTED MULTI-MODAL JOINT ENTROPY WITH DYNAMIC ALLOCATION AND FAULT-TOLERANT FUSION FOR INDUSTRIAL DIAGNOSTICS

Yan Niu, Yiling Wang, Jingyan Li, Wenxi Wang, Mengni Zhou, Jie Xiang, Xin Wen, Yidi Li, Taiyuan University of Technology, China

MLSP-P69.11: CLUSTERING OF MULTISOURCE REMOTE SENSING DATA VIA LOW-RANK TENSOR LEARNING WITH SPATIAL CONSTRAINTS

Zhe Cao, Ting Wang, Zihua Zhao, Haonan Xin, Bo Yan, Runxin Zhang, Rong Wang, Northwestern Polytechnical University, China

MLSP-P69.12: GRASP: GRoup-shApley feature Selection for Patients

Yuheng Luo, Chinese Academy of Medical Sciences and Peking Union Medical College, China; Shuyan Li, Queen's University Belfast, United Kingdom of Great Britain and Northern Ireland; Zhong Cao, Heidelberg University, Germany

MLSP-P69.13: l0-ESP: EFFICIENT STRUCTURED PRUNING FOR CONVOLUTIONAL NEURAL NETWORK COMPRESSION BASED ON l0-NORM OPTIMIZATION

Ping-Ze Zheng, Shenzhen University, China; Zhang-Lei Shi, China University of Petroleum (East China), China; Xiao-Peng Li, Shenzhen University, China

MLSP-P69.14: SCALABLE BAYESIAN FINE-TUNING OF LLMS FOR MULTI-OBJECTIVE BAYESIAN OPTIMIZATION

Haotian Xiang, Heng Zhang, Qin Lu, University of Georgia, United States of America

MLSP-P69.16: ACTIVE JAMMER LOCALIZATION VIA ACQUISITION-AWARE PATH PLANNING

Luis Gonzalez-Gudiño, University of Massachusetts Boston, United States of America; Mariona Jaramillo-Civill, Pau Closas, Northeastern University, United States of America; Tales Imbiriba, University of Massachusetts Boston, United States of America