This example shows how to detect out-of-distribution text data using a variational autoencoder (VAE). An encoder that encodes data in a lower-dimensional parameter space. A decoder that reconstructs ...

Matlab-AE_MVTS Generic Deep Autoencoder for Time-Series This toolbox enables the simple implementation of different deep autoencoder. The primary focus is on multi-channel time-series analysis. Each ...

The concept of autoencoder was originally proposed by LeCun in 1987, early works on autoencoder were used for dimensionality reduction or feature learning. Recently, with the popularity of deep ...

In the last decade, automatic writer identification using a convolutional neural network (CNN) has been well studied. For further performance improvement of the writer identification task, a ...