مقالات بحثية تمّ التفويض بإتاحتها للجميع - Akshay Rangamaniمزيد من المعلومات
عدد المقالات البحثية المتاحة للجميع في موقع ما: 15
Feature learning in deep classifiers through intermediate neural collapse
A Rangamani, M Lindegaard, T Galanti, TA Poggio
International conference on machine learning, 28729-28745, 2023
التفويضات: US National Science Foundation
Dynamics in Deep Classifiers trained with the Square Loss: normalization, low rank, neural collapse and generalization bounds
M Xu, A Rangamani, Q Liao, T Galanti, T Poggio
Research, 2023
التفويضات: US National Science Foundation, US Department of Defense
Deep learning-based target tracking and classification for low quality videos using coded aperture cameras
C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ...
Sensors 19 (17), 3702, 2019
التفويضات: US Department of Defense
Real-time and deep learning based vehicle detection and classification using pixel-wise code exposure measurements
C Kwan, D Gribben, B Chou, B Budavari, J Larkin, A Rangamani, T Tran, ...
Electronics 9 (6), 1014, 2020
التفويضات: US Department of Defense
Sparse coding and autoencoders
A Rangamani, A Mukherjee, A Basu, A Arora, T Ganapathi, S Chin, ...
2018 IEEE International Symposium on Information Theory (ISIT), 36-40, 2018
التفويضات: US National Science Foundation, US Department of Defense
Target tracking and classification using compressive measurements of MWIR and LWIR coded aperture cameras
C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ...
Journal of Signal and Information Processing 10 (3), 73-95, 2019
التفويضات: US Department of Defense
Target tracking and classification using compressive sensing camera for SWIR videos
C Kwan, B Chou, J Yang, A Rangamani, T Tran, J Zhang, ...
Signal, Image and Video Processing 13 (8), 1629-1637, 2019
التفويضات: US Department of Defense
Detection and confirmation of multiple human targets using pixel-wise code aperture measurements
C Kwan, D Gribben, A Rangamani, T Tran, J Zhang, R Etienne-Cummings
Journal of Imaging 6 (6), 40, 2020
التفويضات: US Department of Defense
Predicting local field potentials with recurrent neural networks
L Kim, J Harer, A Rangamani, J Moran, PD Parks, A Widge, E Eskandar, ...
2016 38th Annual International Conference of the IEEE Engineering in …, 2016
التفويضات: US National Science Foundation
For interpolating kernel machines, minimizing the norm of the erm solution minimizes stability
A Rangamani, L Rosasco, T Poggio
arXiv preprint arXiv:2006.15522, 2020
التفويضات: US National Science Foundation, US Department of Defense
Skip connections increase the capacity of associative memories in variable binding mechanisms
Y Xie, Y Li, A Rangamani
Center for Brains, Minds and Machines (CBMM), 2023
التفويضات: US National Science Foundation
Reconstruction-free deep convolutional neural networks for partially observed images
A Nair, L Liu, A Rangamani, P Chin, MAL Bell, TD Tran
2018 IEEE Global Conference on Signal and Information Processing (GlobalSIP …, 2018
التفويضات: US National Science Foundation
The janus effects of sgd vs gd: high noise and low rank
M Xu, T Galanti, L Rosasco, A Rangamani, A Pinto, T Poggio
Center for Brains, Minds and Machines (CBMM), 2024
التفويضات: US National Science Foundation
A Greedy Pursuit Algorithm for Separating Signals from Nonlinear Compressive Observations
S Chin, TD Tran, D Tran, A Rangamani
2018 IEEE International Conference on Acoustics, Speech and Signal …, 2018
التفويضات: US National Science Foundation, US Department of Defense
Understanding the Role of Recurrent Connections in Assembly Calculus
A Rangamani, Y Xie
Center for Brains, Minds and Machines (CBMM) Memo 137, 2022
التفويضات: US National Science Foundation
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