# TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks

Source: [TDAsweep: A Novel Dimensionality Reduction Method for Image Classification Tasks](<https://www.sota2.com/research/paper/68fa68ba1e209131cea1dd40>)

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

Data updated: 2025-10-28T13:56:45.312Z

Authors: Yu-Shih Chen, Melissa Goh, Norm Matloff

Published: 2020-11-14T06:55:31.000Z

## Abstract

One of the most celebrated achievements of modern machine learning technology is automatic classification of images. However, success is typically achieved only with major computational costs. Here we introduce TDAsweep, a machine learning tool aimed at improving the efficiency of automatic classification of images.

## 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/2011.07230>)

[PDF](<https://arxiv.org/pdf/2011.07230.pdf>)