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pro vyhledávání: '"Baba Fakruddin Ali B H"'
Publikováno v:
Applied Sciences, Vol 12, Iss 14, p 6881 (2022)
The majority of digital images are stored in compressed form. Generally, image classification using convolution neural network (CNN) is done in uncompressed form rather than compressed one. Training the CNN in the compressed domain eliminates the req
Externí odkaz:
https://doaj.org/article/03a1f76d832f4379baeeac3c395b0557
Publikováno v:
IEEE Access, Vol 11, Pp 35567-35578 (2023)
Using a novel Genetic Algorithm-based Compressive Learning (GACL), a compressed domain-learning framework is proposed that is implemented on the Haar wavelet approximation coefficient images of the standard kaggle RGB cat dog dataset with every image
Externí odkaz:
https://doaj.org/article/3028df6d31d84a509f54d2564c1f9910
Autor:
Baba Fakruddin Ali B H, Prakash R
Publikováno v:
2021 Innovations in Power and Advanced Computing Technologies (i-PACT).