mlsanityData to 14 Oct 2026

Content-based image retrieval tutorial

arXiv 1608.03811 ↗First posted 12 Aug 2016stat.ML cs.IR cs.LGcited by 1

Not on the map. Why?

Abstract (arXiv)

This paper functions as a tutorial for individuals interested to enter the field of information retrieval but wouldn't know where to begin from. It describes two fundamental yet efficient image retrieval techniques, the first being k - nearest neighbors (knn) and the second support vector machines(svm). The goal is to provide the reader with both the theoretical and practical aspects in order to acquire a better understanding. Along with this tutorial we have also developed the equivalent software1 using the MATLAB environment in order to illustrate the techniques, so that the reader can have a hands-on experience.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). First posted on arXiv 12 Aug 2016.

Builds on

No reference list yet.

Built on by

Cited by year

Citing papers per year: 2025: 1.

1 paper.