Clayton A. Harper

According to our database, Clayton A. Harper authored at least 8 papers between 2020 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Scaling Continuous Kernels with Sparse Fourier Domain Learning.

Clayton A. Harper, Luke Wood, Peter Gerstoft, Mitchell A. Thornton, Eric C. Larson

Proceedings of the Applied Imagery Pattern Recognition, 2025

2024

Scaling Continuous Kernels with Sparse Fourier Domain Learning.

Clayton A. Harper, Luke Wood, Peter Gerstoft, Eric C. Larson

CoRR, 2024

A Photonic Physically Unclonable Function's Resilience to Multiple-Valued Machine Learning Attacks.

Jessie M. Henderson, Elena R. Henderson, Clayton A. Harper, Hiva Shahoei, William V. Oxford, Eric C. Larson, Duncan L. MacFarlane, Mitchell A. Thornton

Proceedings of the 54th IEEE International Symposium on Multiple-Valued Logic, 2024

Learnable Statistical Moments Pooling for Automatic Modulation Classification.

Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson

Proceedings of the IEEE International Conference on Acoustics, 2024

2023

Automatic Modulation Classification with Deep Neural Networks.

Clayton A. Harper, Mitchell A. Thornton, Eric C. Larson

CoRR, 2023

Impacts of Synthetically Generated Data on Trackformer-based Multi-Object Tracking.

Matthew Lee, Clayton A. Harper, William Flinchbaugh, Eric C. Larson, Mitchell A. Thornton

Proceedings of the 52nd IEEE Applied Imagery Pattern Recognition Workshop, 2023

2021

SNR-Boosted Automatic Modulation Classification.

Clayton A. Harper, Aviraj Sinha, Mitchell A. Thornton, Eric C. Larson

Proceedings of the 55th Asilomar Conference on Signals, Systems, and Computers, 2021

2020

Enhanced Automatic Modulation Classification using Deep Convolutional Latent Space Pooling.

Clayton A. Harper, Lauren Lyons, Mitchell A. Thornton, Eric C. Larson

Proceedings of the 54th Asilomar Conference on Signals, Systems, and Computers, 2020