SPTM-P4.4

Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection

Yiran Yang, Liyan Xie, The Chinese University of Hong Kong, Shenzhen, China

Session:
SPTM-P4: Machine learning, detection and classification Poster

Track:
Signal Processing Theory and Methods

Location:
Poster Zone 4B
Poster Board PZ-4B.4

Presentation Time:
Tue, 16 Apr, 16:30 - 18:30 (UTC +9)

Session Chair:
Victor Elvira, University of Edinburgh, UK
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Presentation
Discussion
Resources
Session SPTM-P4
SPTM-P4.1: CROSS BRANCH FEATURE FUSION DECODER FOR CONSISTENCY REGULARIZATION-BASED SEMI-SUPERVISED CHANGE DETECTION
Yan Xing, Qi'ao Xu, JingCheng Zeng, Rui Huang, Sihua Gao, Civil Aviation University of China, China; Weifeng Xu, North China Electric Power University, China; YuXiang Zhang, Wei Fan, Civil Aviation University of China, China
SPTM-P4.2: A SALIENCY ENHANCED FEATURE FUSION BASED MULTISCALE RGB-D SALIENT OBJECT DETECTION NETWORK
Rui Huang, Qingyi Zhao, Yan Xing, Sihua Gao, Civil Aviation University of China, China; Weifeng Xu, North China Electric Power University, China; Yuxiang Zhang, Wei Fan, Civil Aviation University of China, China
SPTM-P4.3: IFNET: INTEGRATING DATA AUGMENTATION AND DECOUPLED ATTENTION FUSION FOR 3D OBJECT DETECTION
Zhenchang Xia, Guanqun Zheng, Shengwu Xiong, Wuhan University of Technology, China; Jia Wu, Macquarie University, Australia; Junyin Wang, Chenghu Du, Wuhan University of Technology, China
SPTM-P4.4: Sequential Wasserstein Uncertainty Sets for Minimax Robust Online Change Detection
Yiran Yang, Liyan Xie, The Chinese University of Hong Kong, Shenzhen, China
SPTM-P4.5: CAG-FPN: CHANNEL SELF-ATTENTION GUIDED FEATURE PYRAMID NETWORK FOR OBJECT DETECTION
Jie Chang, Huhe Dai, Yuan Zheng, Inner Mongolia University, China
SPTM-P4.6: SELF KNOWLEDGE DISTILLATION BASED ON LAYER-WISE WEIGHTED FEATURE IMITATION FOR EFFICIENT OBJECT DETECTION
liangqi zhong, shengye yan, Nanjing University of Information Science and Technology, China, China
SPTM-P4.7: AN UNSUPERVISED SEGMENTATION OF VOCAL BREATH SOUNDS
SHIVANI YADAV, DIPANJAN GOPE, Indian Institute of Science, India; UMA MAHESWARI K., St. Johns National Academy of Health Sciences, India; PRASANTA KUMAR GHOSH, Indian Institute of Science, India
SPTM-P4.8: Parameter Estimation via Expectation Maximization - Expectation Consistent Algorithm
Fangqing Xiao, Dirk Slock, EURECOM, France
SPTM-P4.9: REVERSIBLE JUMP MARKOV CHAIN MONTE CARLO FOR PULSE FITTING
Fred Goodyer, Bashar Ahmad, Simon Godsill, University of Cambridge, United Kingdom of Great Britain and Northern Ireland
SPTM-P4.10: FEDERATED QUANTUM MACHINE LEARNING WITH DIFFERENTIAL PRIVACY
Rod Rofougaran, Cornell University, United States of America; Shinjae Yoo, Huan-Hsin Tseng, Brookhaven National Laboratory, United States of America; Samuel Yen-Chi Chen, Wells Fargo, United States of America
SPTM-P4.11: NEURAL NETWORK-BASED SYMBOLIC REGRESSION FOR EMPIRICAL MODELING OF THE BEHAVIOR OF A PLANETARY GEARBOX
Nacer Yousfi, Safran Tech, Safran SA, France; Karim Abed-Meraim, Orléans university, France; Yosra Marnissi, Safran Tech, Safran SA, France; Maxime Leiber, Safran Tech, France; Mohammed El-Badaoui, Safran Tech, Safran SA, France
Contacts