Abstract | ||
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In this paper, we propose a novel multiclass classifier for the open-set recognition scenario. This scenario is the one in which there are no a priori training samples for some classes that might appear during testing. Usually, many applications are inherently open set. Consequently, successful closed-set solutions in the literature are not always suitable for real-world recognition problems. The proposed open-set classifier extends upon the Nearest-Neighbor (NN) classifier. Nearest neighbors are simple, parameter independent, multiclass, and widely used for closed-set problems. The proposed Open-Set NN (OSNN) method incorporates the ability of recognizing samples belonging to classes that are unknown at training time, being suitable for open-set recognition. In addition, we explore evaluation measures for open-set problems, properly measuring the resilience of methods to unknown classes during testing. For validation, we consider large freely-available benchmarks with different open-set recognition regimes and demonstrate that the proposed OSNN significantly outperforms their counterparts in the literature. |
Year | DOI | Venue |
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2017 | 10.6084/m9.figshare.1097614.v4 | Machine Learning |
Keywords | Field | DocType |
Open-set recognition,Nearest neighbor classifier,Open-set nearest-neighbor classifier,Nearest neighbors distance ratio,Open-set evaluation measures | Pattern recognition,A priori and a posteriori,Artificial intelligence,Classifier (linguistics),Margin classifier,Mathematics,Machine learning,Nearest neighbor classifier,Open set | Journal |
Volume | Issue | Citations |
106 | 3 | 1 |
PageRank | References | Authors |
0.35 | 0 | 9 |
Name | Order | Citations | PageRank |
---|---|---|---|
Pedro Ribeiro Mendes-Junior | 1 | 15 | 3.84 |
Roberto Souza | 2 | 72 | 9.78 |
Rafael de Oliveira Werneck | 3 | 20 | 3.58 |
Bernardo V. Stein | 4 | 9 | 1.65 |
Daniel V. Pazinato | 5 | 9 | 1.65 |
Waldir R. de Almeida | 6 | 9 | 1.65 |
Otávio A. B. Penatti | 7 | 398 | 18.12 |
torres ricardo | 8 | 1 | 0.35 |
Anderson Rocha | 9 | 913 | 69.11 |