A Multiple Instance Learning Algorithm for Color Images Classification-Reference-Cited by-同舟云学术

A Multiple Instance Learning Algorithm for Color Images Classification

Published:2018 Issue: Volume: Page:
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Container-title:Proceedings of the 22nd International Database Engineering & Applications Symposium on - IDEAS 2018
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Author:

Astorino Annabella¹,Fuduli Antonio²,Gaudioso Manlio³,Vocaturo Eugenio³

Affiliation:

1. ICAR-CNR, Rende, Italy

2. Dipartimento di Matematica e Informatica - Università, della Calabria, Rende, Italy

3. DIMES - Università della Calabria, Rende, Italy

Publisher

ACM Press

Reference28 articles.

1. Jaume Amores. 2013. Multiple instance classification: Review, taxonomy and comparative study. Artificial Intelligence 201 (2013), 81 - 105. https://doi.org/10.1016/j.artint.2013.06.003

2. S. Andrews, I. Tsochantaridis, and T. Hofmann. 2003. Support vector machines for multiple-instance learning. In Advances in Neural Information Processing Systems, S. Becker, S. Thrun, and K. Obermayer (Eds.). MIT Press, Cambridge, 561--568.

3. A. Astorino, A. Frangioni, A. Fuduli, and E. Gorgone. 2013. A nonmonotone proximal bundle method with (potentially) continuous step decisions. SIAM Journal on Optimization 23, 3 (2013), 1784--1809. https://doi.org/10.1137/120888867

4. A. Astorino, A. Frangioni, M. Gaudioso, and E. Gorgone. 2011. Piecewise-quadratic approximations in convex numerical optimization. SIAM Journal on Optimization 21, 4 (2011), 1418--1438.

5. A. Astorino, A. Fuduli, and M. Gaudioso. 2017. A Lagrangian relaxation approach for binary multiple instance classification. Submitted for publication (2017).

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