MLSP-P9.9
CONVOLUTIONAL FILTERING WITH RKHS ALGEBRAS
Alejandro Parada Mayorga, University of Colorado Denver, United States of America; Leopoldo Agorio, University of Pittsburgh, United States of America; Alejandro Ribeiro, University of Pennsylvania, United States of America; Juan Bazerque, University of Pittsburgh, United States of America
Session:
MLSP-P9: Deep Learning Model for Signal Processing III Poster
Track:
Machine Learning for Signal Processing [ML]
Location:
Poster Area 4
Presentation Time:
Tue, 5 May, 16:30 - 18:30
Presentation
Discussion
Resources
No resources available.
Session MLSP-P9
MLSP-P9.1: DEEP LARGE-MARGIN LP-SVDD WITH CNN FEATURE LEARNING FOR NOVELTY DETECTION
Alireza Dastmalchi Saei, Shervin Rahimzadeh Arashloo, Bilkent University, Türkiye
MLSP-P9.2: REINFORCEMENT LEARNING DRIVEN FUSION: INTEGRATING VISUAL SEGMENTATION AND TEXTUAL SEMANTICS FOR SENTIMENT ANALYSIS
Yuhao Han, Haoxiang Wang, Zhiyuan Chang, Tingting Xu, South China University of Technology, China
MLSP-P9.3: UNROLLED GRAPH NEURAL NETWORKS FOR CONSTRAINED OPTIMIZATION
Samar Hadou, Alejandro Ribeiro, University of Pennsylvania, United States of America
MLSP-P9.4: PAGE: A PHYSICS-AWARE GENERATIVE NETWORK FOR PRESSURE MAP SYNTHESIS
Yunkang Zhang, Quan Wan, Changhai Ma, Ziyu Wu, Chenfang Fang, Xiaohui Cai, University of Science and Technology of China, China
MLSP-P9.5: ADAPTIVE-VOCO: COMPLEXITY-AWARE VISUAL TOKEN COMPRESSION FOR VISION-LANGUAGE MODELS
Xiaoyang Guo, Jusheng Zhang, Keze Wang, Sun Yat-sen University, China
MLSP-P9.6: Dataset-Driven Channel Masks in Transformers for Multivariate Time Series
Seunghan Lee, Taeyoung Park, Kibok Lee, Yonsei University, Korea, Republic of
MLSP-P9.7: CARE-AGENT: MULTI-AGENT COLLABORATION WITH CONFLICT-AWARE ROUTING MECHANISM FOR DIAGNOSIS PREDICTION
Pengxiang Zhan, Binteng Cai, Jinxu Zhang, Hang Lv, Yanchao Tan, Fuzhou University, China; Zhigang Lin, The First Affiliated Hospital of Fujian Medical University, China; Xiping Chen, Hangzhou Bywin Technology Co., Ltd., China; Carl Yang, Emory University, United States of America
MLSP-P9.8: PAM-COAT: PHYSICS-AWARE MULTIMODAL COATNET FOR IMBALANCED PULSAR CANDIDATE CLASSIFICATION
mingyue jia, zhiyuan ma, yixin qin, Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250013, P. R. China, China; anjun liu, Jinan Institute of Supercomputing Technology, Jinan, Shandong 250103, P. R. China, China; meng guo, Key Laboratory of Computing Power Network and Information Security, Ministry of Education, Shandong Computer Science Center (National Supercomputing Center in Jinan), Qilu University of Technology (Shandong Academy of Sciences), Jinan, Shandong 250013, P. R. China, China
MLSP-P9.9: CONVOLUTIONAL FILTERING WITH RKHS ALGEBRAS
Alejandro Parada Mayorga, University of Colorado Denver, United States of America; Leopoldo Agorio, University of Pittsburgh, United States of America; Alejandro Ribeiro, University of Pennsylvania, United States of America; Juan Bazerque, University of Pittsburgh, United States of America
Contacts