| Full text | |
| Author(s): |
Mendes Junior, Pedro R.
;
de Souza, Roberto M.
;
Werneck, Rafael de O.
;
Stein, Bernardo V.
;
Pazinato, Daniel V.
;
de Almeida, Waldir R.
;
Penatti, Otavio A. B.
;
Torres, Ricardo da S.
;
Rocha, Anderson
Total Authors: 9
|
| Document type: | Journal article |
| Source: | MACHINE LEARNING; v. 106, n. 3, p. 359-386, MAR 2017. |
| Web of Science Citations: | 8 |
| Abstract | |
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. (AU) | |
| FAPESP's process: | 10/05647-4 - Digital forensics: collection, organization, classification and analysis of digital evidences |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Research Grants - Young Investigators Grants |
| FAPESP's process: | 13/50155-0 - Combining new technologies to monitor phenology from leaves to ecosystems |
| Grantee: | Leonor Patricia Cerdeira Morellato |
| Support Opportunities: | Research Program on Global Climate Change - University-Industry Cooperative Research (PITE) |
| FAPESP's process: | 15/19222-9 - DejaVu: social media forensics for interpreting criminal events |
| Grantee: | Anderson de Rezende Rocha |
| Support Opportunities: | Scholarships abroad - Research |
| FAPESP's process: | 13/50169-1 - Towards an understanding of tipping points within tropical South American biomes |
| Grantee: | Ricardo da Silva Torres |
| Support Opportunities: | Research Grants - Research Partnership for Technological Innovation - PITE |