Sun, Y., Xue, B., Zhang, M. and Yen, G.G. (2019) A Particle Swarm Optimization-Based Flexible Convolutional Autoencoder for Image Classification. IEEE Transactions on ...

The diagram in Figure 2 illustrates a neural autoencoder. The autoencoder has the same number of inputs and outputs (9) as the demo program, but for simplicity the illustrated autoencoder has ...

Fingerprint recognition systems have been applied widely to adopt accurate and reliable biometric identification between individuals. Deep learning, especially Convolutional Neural Network (CNN) has ...

The convolutional layer is replaced by the basic structure diagram marked by the gray box in Figure 2 without the scaling vector shown in red. In this way, the intrinsic autoencoder functionality is ...

An autoencoder is a technique, which is able to replicate data in the images. The advantage of convolutional neural networks makes it suitable for feature extraction. Four datasets of fingerprint ...

Three-Dimensional Convolutional Autoencoder Extracts Features of Structural ... A schematic diagram is shown. 3D images of the Kyoto dataset were ... to reproduce the input as close as possible to the ...