Image Representation, Annotation and Retrieval with Predictive Clustering Trees

0Citations
Citations of this article
11Readers
Mendeley users who have this article in their library.

This article is free to access.

Abstract

In this paper, we summarize our work on using the predictive clustering framework for image analysis. More specifically, we have used predictive clustering trees to generate image representations, that can then be used to perform image retrieval and/or image annotation. We have evaluated the proposed method for performing image retrieval on general purpose images [6], and annotation of general purpose images [5], medical images [3] and diatom images [4].

Cite

CITATION STYLE

APA

Dimitrovski, I., Kocev, D., Loskovska, S., & Džeroski, S. (2017). Image Representation, Annotation and Retrieval with Predictive Clustering Trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10536 LNAI, pp. 363–367). Springer Verlag. https://doi.org/10.1007/978-3-319-71273-4_32

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free