collaborators

5 papers

cs.LG2026

Topology-Informed Neural Networks for Flood Detection in Optical and Synthetic Aperture Radar Imagery

Sophia Li, Max Zhao, Raghu G. Raj +1

Floods frequently impact regions around the world. Rapid and accurate flood detection is crucial for emergency response and timely mitigation of human and economic loss. The expand…

cs.CV2025

A Dynamic Mode Decomposition Approach to Morphological Component Analysis

Owen T. Huber, Raghu G. Raj, Tianyu Chen +1

This paper introduces a novel methodology of adapting the representation of videos based on the dynamics of their scene content variation. In particular, we demonstrate how the clu…

eess.SP2025

Robust and tractable multidimensional exponential analysis

H. N. Mhaskar, S. Kitimoon, Raghu G. Raj

Motivated by a number of applications in signal processing, we study the following question. Given samples of a multidimensional signal of the form $$ f(\boldsymbol\ell)=\sum_{k=1}…

eess.SP2025

Data-Driven Calibration Technique for Quantitative Radar Imaging

Zacharie Idriss, Raghu Raj

Quantitative inversion algorithms allow for the reconstruction of electrical properties (such as permittivity, and conductivity) for every point in a scene. However, they are chall…

math.ST2025

Aspects of a Generalized Theory of Sparsity based Inference in Linear Inverse Problems

Ryan O'Dowd, Raghu G. Raj, Hrushikesh N. Mhaskar +1

Linear inverse problems are ubiquitous in various science and engineering disciplines. Of particular importance in the past few decades, is the incorporation of sparsity based prio…