Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks

Experiments of Image Classification Using Dissimilarity Spaces Built with Siamese Networks

Traditionally, classifiers are trained to predict patterns within a feature space. The image classification system presented here trains classifiers to predict patterns within a vector space by combining the dissimilarity spaces generated by a large set of Siamese Neural Networks (SNNs). A set of ce...

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Bibliographic Details
Main Authors: Loris Nanni, Giovanni Minchio, Sheryl Brahnam, Gianluca Maguolo, Alessandra Lumini
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
audio sound classification
image classification
clustering
prototype selection
siamese network
dissimilarity space
Online Access:https://www.mdpi.com/1424-8220/21/5/1573

Internet

https://www.mdpi.com/1424-8220/21/5/1573

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