# Compressive Image Classification using Deterministic Sensing Matrices

Source: [Compressive Image Classification using Deterministic Sensing Matrices](<https://www.sota2.com/research/paper/68fa7fc61e209131cea9b0b2>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2025-10-26T06:52:33.836Z

Authors: Sheel Shah, Kushal Kejriwal

Published: 2022-10-15T11:53:40.000Z

## Abstract

We look at the use of deterministic sensing matrices for compressed sensing and provide worst-case bounds on the classification accuracy of SVMs on compressively sensed data.

## Recorded benchmark results

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

## Original sources and implementation

[Original paper](<https://arxiv.org/abs/2210.10777>)

[PDF](<https://arxiv.org/pdf/2210.10777.pdf>)