مؤتمر
Noise Boosted Neural Receptive Fields
العنوان: | Noise Boosted Neural Receptive Fields |
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المؤلفون: | Federico Andrea Galatolo, Mario Giovanni Cosimo Antonio Cimino, Alessandro Marincioni, Gigliola Vaglini |
المساهمون: | Galatolo, FEDERICO ANDREA, Cimino, MARIO GIOVANNI COSIMO ANTONIO, Marincioni, Alessandro, Vaglini, Gigliola |
بيانات النشر: | IEEE Computer Society USA Washington |
سنة النشر: | 2021 |
المجموعة: | ARPI - Archivio della Ricerca dell'Università di Pisa |
مصطلحات موضوعية: | neural network, supervised learning, boosting, receptive field, image classification |
الوصف: | Conventional neural networks (NNs) for image classification make use of a convolutional layer and a feedforward (FF) classification layer. This paper presents a novel classification layer architecture and a training paradigm, in which the FF layer is split into small and specialized FF nets called Noise Boosted Receptive Fields (NBRFs), one per class. Each i-th NBRF provides three membership degrees: to the i-th class, to the super class made by its complementary classes, and to an extra class representing out-of-classes images. The training process artificially generates extra-class samples, via image transformation and noise addition. Experimental results, carried out on MNIST, KMNIST and FMNIST datasets show that, with respect to an FF layer, the NBRF layer improves robustness and accuracy of classification. The repository with the source code and experimental data has been publicly released to facilitate reproducibility and widespread adoption. |
نوع الوثيقة: | conference object |
وصف الملف: | STAMPA |
اللغة: | English |
العلاقة: | info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-9048-8; info:eu-repo/semantics/altIdentifier/wos/WOS:000824464300367; ispartofbook:2021 IEEE Symposium Series on Computational Intelligence (SSCI) Proceedings; 2021 IEEE Symposium Series on Computational Intelligence (SSCI); firstpage:1; lastpage:6; numberofpages:6; http://hdl.handle.net/11568/1122136Test; info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-85125794662; https://ieeexplore.ieee.org/document/9660191Test |
الإتاحة: | http://hdl.handle.net/11568/1122136Test https://ieeexplore.ieee.org/document/9660191Test |
حقوق: | info:eu-repo/semantics/openAccess |
رقم الانضمام: | edsbas.E74FE207 |
قاعدة البيانات: | BASE |
الوصف غير متاح. |