Deep Learning Using Isotroping, Laplacing, Eigenvalues Interpolative Binding, and Convolved Determinants with Normed Mapping for Large-Scale Image Retrieval

Deep Learning Using Isotroping, Laplacing, Eigenvalues Interpolative Binding, and Convolved Determinants with Normed Mapping for Large-Scale Image Retrieval

Convolutional neural networks (CNN) are relational with grid-structures and spatial dependencies for two-dimensional images to exploit location adjacencies, color values, and hidden patterns. Convolutional neural networks use sparse connections at high-level sensitivity with layered connection compl...

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Bibliographic Details
Main Authors: Khadija Kanwal, Khawaja Tehseen Ahmad, Rashid Khan, Naji Alhusaini, Li Jing
Format: Article
Language:English
Published: MDPI AG 2021-02-01
Series:Sensors
Subjects:
deep learning
CNN
image retrieval
image content analysis
BoW
color image retrieval
Online Access:https://www.mdpi.com/1424-8220/21/4/1139

Internet

https://www.mdpi.com/1424-8220/21/4/1139

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