Nearest neighbors distance ratio open-set classifier

Author:

Mendes Júnior Pedro R.ORCID,de Souza Roberto M.ORCID,Werneck Rafael de O.ORCID,Stein Bernardo V.ORCID,Pazinato Daniel V.ORCID,de Almeida Waldir R.ORCID,Penatti Otávio A. B.ORCID,Torres Ricardo da S.ORCID,Rocha AndersonORCID

Funder

Samsung Eletrônica da Amazônia Ltda.

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Fundação de Amparo à Pesquisa do Estado de São Paulo

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Reference47 articles.

1. Bartlett, P. L., & Wegkamp, M. H. (2008). Classification with a reject option using a hinge loss. Journal of Machine Learning Research, 9, 1823–1840.

2. Bishop, C. M. (2006). Pattern recognition and machine learning (1st ed.). New York: Information Science and Statistics, Springer.

3. Boureau, Y. L., Bach, F., LeCun, Y., & Ponce, J. (2010). Learning mid-level features for recognition. In International conference on computer vision and pattern recognition (pp. 2559–2566). San Francisco, CA: IEEE Press.

4. Cevikalp, H., & Triggs, B. (2012). Efficient object detection using cascades of nearest convex model classifiers. In International conference on computer vision and pattern recognition (pp. 3138–3145). Providence, RI: IEEE Press.

5. Chang, C. C., & Lin, C. J. (2011). LIBSVM: A library for support vector machines. Transactions on Intelligent Systems and Technology, 2(3), 27:1–27:27.

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