Results 161 to 170 of about 5,285,158 (212)

C-CNN: Contourlet Convolutional Neural Networks

IEEE Transactions on Neural Networks and Learning Systems, 2021
Extracting effective features is always a challenging problem for texture classification because of the uncertainty of scales and the clutter of textural patterns. For texture classification, spectral analysis is traditionally employed in the frequency domain.
Mengkun Liu   +5 more
openaire   +3 more sources

Convolutional Neural Networks (CNN)

2021
Convolutional neural networks (CNN or ConvNet) are a specific type of neural networks for processing grid-like data such as images and time series. In healthcare applications, the CNN models are widely used in automatic feature learning and disease classification from medical images, for example, automatic classification of skin lesions, detection of ...
Cao Xiao, Jimeng Sun
openaire   +1 more source

Cellular neural network friendly convolutional neural networks — CNNs with CNNs

Design, Automation & Test in Europe Conference & Exhibition (DATE), 2017, 2017
This paper discusses the development and evaluation of a Cellular Neural Network (CeNN) friendly deep learning network for solving the MNIST digit recognition problem. Prior work has shown that CeNNs leveraging emerging technologies such as tunnel transistors can improve energy or EDP of CeNNs, while simultaneously offering richer/more complex ...
András Horváth   +4 more
openaire   +2 more sources

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