TP8a-2.6

Very Efficient Convolutional Neural Network based on the Discrete Hirschman Transform

Weiwei Wang, Victor DeBrunner, Linda DeBrunner, Florida State University, United States; Dingli Xue, China Academy of Science, China; Hanqing Zhao, Ranran Tao, Florida State University, United States
Session:
TP8a-2: Data Science, Machine Learning, and Adaptive Systems II Poster
Track:
Adaptive Systems, Machine Learning, and Data Analytics
Location:
Poster - Kiln
Presentation Time:
Tue, 29 Oct, 13:30 - 15:10 PT (UTC -7)
Session Co-Chairs:
Tianyi Chen, Rensselaer Polytechnic Institute and Quan Xiao, Rensselaer Polytechnic Institute
Presentation
Discussion
Resources
No resources available.
Session TP8a-2
TP8a-2.1: Coupled Basis Pursuit for 3D Terahertz Video Reconstruction
Miguel Heredia Conde, Abdulraouf Kutaish, Ullrich Pfeiffer, University of Wuppertal, Germany
TP8a-2.2: A Circular Compound Gaussian Least Squares Algorithm for Tomographic Radar Imaging
Raghu Raj, Carter Lyons, U.S. Naval Research Laboratory, United States; Robert Jansen, Jacobs, Inc., United States; Margaret Cheney, Colorado State University, United States
TP8a-2.3: A Single Network for Reconstruction with Dynamic Measurement Rates
Cemre Omer Ayna, Ali Cafer Gurbuz, Mississippi State University, United States
TP8a-2.4: Error Correction Codes for Robust Classification with Neural Networks Under Sparse Noise
Eva Riherd, Weiyu Xu, Raghu Mudumbai, University of Iowa, United States
TP8a-2.5: Robust and Constrained Estimation of State-Space Models: A Majorization-Minimization Approach
Yifan Yu, Shengjie Xiu, Daniel Palomar, Hong Kong University of Science and Technology, Hong Kong SAR of China
TP8a-2.6: Very Efficient Convolutional Neural Network based on the Discrete Hirschman Transform
Weiwei Wang, Victor DeBrunner, Linda DeBrunner, Florida State University, United States; Dingli Xue, China Academy of Science, China; Hanqing Zhao, Ranran Tao, Florida State University, United States
TP8a-2.8: Cardiac Condition Classification Using 12-Lead ECG Recordings
Dorsa Esmaeilpourmoghaddam, Rice University, United States; Mehdi Razavi, Texas Heart Institute, United States; Behnaam Aazhang, Rice University, United States
TP8a-2.9: Track-Cued Radar Point Cloud Target Classification
Lihui Chen, NXP Semiconductors Inc., United States; Mujtaba Hassan, Delft University of Technology, Netherlands; Satish Ravindran, Ryan Wu, NXP Semiconductors Inc., United States
TP8a-2.10: Rotation-Equivariant Neural Networks for Cloud Removal from Satellite Images
Suhas Lohit, Tim K. Marks, Mitsubishi Electric Research Laboratories, United States
TP8a-2.11: A Vision Transformer based Method for Pileup Detection in Pulse Shape Discrimination
Qi Cheng, Oklahoma State University, United States; Jason Hayward, Xianfei Wen, University of Tennessee, United States
TP8a-2.12: Comparison of Explainability Approaches for Reinforcement Learning for Autonomous Flight Maneuvers
Soumyabrata Dey, Swati Kar, Mahesh Banavar, Clarkson University, United States; Allan Salihovic, SUNY Buffalo, United States; Simon Khan, Jason Bryant, Air Force Research Lab, United States
TP8a-2.13: Towards Data-Driven Guarantees for Sparse Signal Recovery
Farhang Yeganegi, Arian Eamaz, Mojtaba Soltanalian, University of Illinois Chicago, United States
Contacts