Deep one-class probability learning for end-to-end image classification.

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Bibliographic Details
Title: Deep one-class probability learning for end-to-end image classification.
Authors: Liu J; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China., Zhang W; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China. Electronic address: whzhang@njust.edu.cn., Liu F; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China., Yang J; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China., Xiao L; School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, 210094, China.
Source: Neural networks : the official journal of the International Neural Network Society [Neural Netw] 2025 May; Vol. 185, pp. 107201. Date of Electronic Publication: 2025 Jan 27.
Publication Type: Journal Article
Journal Info: Publisher: Pergamon Press Country of Publication: United States NLM ID: 8805018 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1879-2782 (Electronic) Linking ISSN: 08936080 NLM ISO Abbreviation: Neural Netw Subsets: MEDLINE
Database: MEDLINE Ultimate
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