News

Algorithm maps the connections between the brain's structure and function
Using an algorithm they call the Krakencoder, researchers at Weill Cornell Medicine are a step closer to unraveling how the ...
IEEE1mon
Prediction of Transmission Spectrum From Photonic Energy Band via Autoencoder Network
It integrates a transmission spectrum autoencoder and a photonic energy band autoencoder, processing energy band data to predict the corresponding transmission spectrum. The results indicate that ...
Scientific Research Publishing3mon
A Combination Method of Stacked Convolutional Auto-Encoder and Selective Kernel Attention Mechanism for Image Classification ()
The stacked convolutional autoencoder with fusion selection kernel attention ... Figure 2. (a) Network structure diagram; (b) Convolution module and deconvolution module. Encoder: In the network ...
Visual Studio Magazine10mon
Data Dimensionality Reduction Using a Neural Autoencoder with C#
Understanding Neural Autoencoders 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 ...
Frontiers2y
Trainable Communication Systems Based on the Binary Neural Network
With the autoencoder structure, we binarized the three separate convolutional layers in both the encoder and decoder and kept other structures unchanged. The convolutional layer is replaced by the ...
Frontiers3y
Three-Dimensional Convolutional Autoencoder Extracts Features of Structural Brain Images With a “Diagnostic Label-Free” Approach: Application to Schizophrenia Datasets
CAE training: A schematic diagram is shown. 3D images of the Kyoto dataset ... 3D, three-dimensional; CAE, convolutional autoencoder; COBRE, Center for Biomedical Research Excellence; CPZE, dose of ...
IEEE4y
Human activity classification with radar signal processing and machine learning
and Cadence Velocity Diagram. From those, salient features can be extracted and classified using Support Vector Machine, Stacked AutoEncoder, and Convolutional Neural Networks. The fusion of ...