ML Anthology

Image Representation, Annotation and Retrieval with Predictive Clustering Trees

Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, Saso Dzeroski
ECML-PKDD 2017 pp. 363-367
doi:10.1007/978-3-319-71273-4_32 /ecmlpkdd/2017/dimitrovski2017ecmlpkdd-image/

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 ].

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Cite

Text

Dimitrovski et al. "Image Representation, Annotation and Retrieval with Predictive Clustering Trees." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017. doi:10.1007/978-3-319-71273-4_32

Markdown

[Dimitrovski et al. "Image Representation, Annotation and Retrieval with Predictive Clustering Trees." European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 2017.](https://mlanthology.org/ecmlpkdd/2017/dimitrovski2017ecmlpkdd-image/) doi:10.1007/978-3-319-71273-4_32

BibTeX

@inproceedings{dimitrovski2017ecmlpkdd-image,
  title     = {{Image Representation, Annotation and Retrieval with Predictive Clustering Trees}},
  author    = {Dimitrovski, Ivica and Kocev, Dragi and Loskovska, Suzana and Dzeroski, Saso},
  booktitle = {European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases},
  year      = {2017},
  pages     = {363-367},
  doi       = {10.1007/978-3-319-71273-4_32},
  url       = {https://mlanthology.org/ecmlpkdd/2017/dimitrovski2017ecmlpkdd-image/}
}