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Akshay Rangamani

Showing results (1-10 of 4) with videos related to

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Research (Washington, D.C.)|May 24, 2023
Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization BoundsMengjia Xu, Akshay Rangamani, Qianli Liao, et al.
Journal of Imaging|August 30, 2021
Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture MeasurementsChiman Kwan, David Gribben, Akshay Rangamani, et al.
Sensors (Basel, Switzerland)|August 29, 2019
Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture CamerasChiman Kwan, Bryan Chou, Jonathan Yang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Predicting local field potentials with recurrent neural networksLouis Kim, Jacob Harer, Akshay Rangamani, et al.
Pageof 1

Showing results (1-10 of 4) with videos related to

Sort By:
Pageof 1
Research (Washington, D.C.)|May 24, 2023
Dynamics in Deep Classifiers Trained with the Square Loss: Normalization, Low Rank, Neural Collapse, and Generalization BoundsMengjia Xu, Akshay Rangamani, Qianli Liao, et al.
Journal of Imaging|August 30, 2021
Detection and Confirmation of Multiple Human Targets Using Pixel-Wise Code Aperture MeasurementsChiman Kwan, David Gribben, Akshay Rangamani, et al.
Sensors (Basel, Switzerland)|August 29, 2019
Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture CamerasChiman Kwan, Bryan Chou, Jonathan Yang, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|March 9, 2017
Predicting local field potentials with recurrent neural networksLouis Kim, Jacob Harer, Akshay Rangamani, et al.
Pageof 1