Training Data Augmentation with Data Distilled by the Principal Component Analysis: New manuscript preprint

Summary

Our manuscript preprint on data augmentation with PCA for deep learning is published online.

Our manuscript preprint (co-authored by Dr. Nikolay Sirakov, Ms. Tahsin Shahnewaz, and Dr. Arie Nakhmani) on data augmentation with PCA for deep learning is published online:

https://www.preprints.org/manuscript/202312.0821/v1

Published by

anry

Arie Nakhmani is an associate professor of Electrical and Computer Engineering at the University of Alabama at Birmingham (UAB). He joined UAB in 2013. Prior to that, he completed his postdoctoral training at Georgia Tech and Boston University. He is an Associate Scientist in the Comprehensive Cancer Center and director of the ANRY lab at UAB. He is the author of over 120 peer-reviewed research publications and book chapters on robust control, machine learning, signal and image analysis. He is also an author of "Modern Control: State-Space Analysis and Design Methods" textbook published by McGraw Hill in 2020.

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