MLSP-L12.5
AI-AIDED CONSENSUS KALMAN TRACKING IN PARTIALLY-KNOWN STATE-SPACE MODELS
Aviv Golan, Nir Shlezinger, Ben-Gurion University of the Negev, Israel
Session:
MLSP-L12: Graph Neural Networks for Structured Signal Processing Oral
Track:
Machine Learning for Signal Processing [ML]
Location:
Room 113
Presentation Time:
Wed, 6 May, 15:20 - 15:40
Presentation
Discussion
Resources
No resources available.
Session MLSP-L12
MLSP-L12.1: OCCLUSION AWARE GRAPH TRANSFOREMR FOR 3D MULTI-OBJECT TRACKING
Jielong Wei, Hao Gao, Jianhui Nie, Ziyun Cai, Ye Liu, Nanjing University of Posts and Telecommunications, China
MLSP-L12.2: ADAPTIVE DISTILLATION FOR LM-GNN ALIGNMENT IN SEMI-SUPERVISED TEXT-ATTRIBUTED GRAPH NODE CLASSIFICATION
Xingyu Wu, Jintao Chen, Xuanye Zheng, Chenkai pan, Yuxiang Cai, Zhejiang University, China; SUN Bing, National Certification Technology (Hangzhou) Co., Ltd, China; Ge Su, Zhejiang University, China; Shengye Pang, Shanghai University, China; Xuhong Zhang, Zhejiang University, China
MLSP-L12.3: ENHANCED GRAPH TRANSFORMER WITH SERIALIZED GRAPH TOKENS
Ruixiang Wang, Yuyang Hong, Shiming Xiang, Chunhong Pan, Institute of Automation, Chinese Academy of Sciences, China
MLSP-L12.4: NEDGCN: HIGH-QUALITY SAMPLE SELECTION AND NOISE-TOLERANT GRAPH NEURAL NETWORK VIA DIFFERENTIATED EDGE WEIGHTING
Yucong Zhang, JunHang Wu, Yabo Yin, 新疆大学, China
MLSP-L12.5: AI-AIDED CONSENSUS KALMAN TRACKING IN PARTIALLY-KNOWN STATE-SPACE MODELS
Aviv Golan, Nir Shlezinger, Ben-Gurion University of the Negev, Israel
MLSP-L12.6: QUERY-SPECIFIC CONTEXT-ENHANCED REPRESENTATION LEARNING FOR TEMPORAL KNOWLEDGE GRAPH REASONING
Yu Gao, Qingtian Zeng, Weijian Ni, Cheng Cheng, Hua Duan, Shandong University of Science and Technology, China; Minghao Zou, Cardiff University, United Kingdom of Great Britain and Northern Ireland; Ziyang Wang, Aston University, United Kingdom of Great Britain and Northern Ireland
Contacts