Mayur Dhanaraj

According to our database, Mayur Dhanaraj authored at least 7 papers between 2018 and 2022.

Collaborative distances:

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

2022

On the Asymptotic L1-PC of Elliptical Distributions.

Mayur Dhanaraj, Panos P. Markopoulos

IEEE Signal Process. Lett., 2022

Robust Stochastic Principal Component Analysis via Barron Loss.

Mayur Dhanaraj, Panos P. Markopoulos

Proceedings of the 56th Asilomar Conference on Signals, Systems, and Computers, ACSSC 2022, Pacific Grove, CA, USA, October 31, 2022

2021

YOLOrs: Object Detection in Multimodal Remote Sensing Imagery.

Manish Sharma, Mayur Dhanaraj, Srivallabha Karnam, Dimitris G. Chachlakis, Raymond W. Ptucha, Panos P. Markopoulos, Eli Saber

IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2021

Dynamic L1-Norm Tucker Tensor Decomposition.

Dimitris G. Chachlakis, Mayur Dhanaraj, Ashley Prater-Bennette, Panos P. Markopoulos

IEEE J. Sel. Top. Signal Process., 2021

2019

Stochastic Principal Component Analysis Via Mean Absolute Projection Maximization.

Mayur Dhanaraj, Panos P. Markopoulos

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

2018

Adaptive L1-Norm Principal-Component Analysis With Online Outlier Rejection.

Panos P. Markopoulos, Mayur Dhanaraj, Andreas E. Savakis

IEEE J. Sel. Top. Signal Process., 2018

Novel Algorithm for Incremental L1-Norm Principal-Component Analysis.

Mayur Dhanaraj, Panos P. Markopoulos

Proceedings of the 26th European Signal Processing Conference, 2018