A k-sparse autoencoder. For an input X, an autoencoder attempts to construct an output X' at its output layer that is close to X ... This is the official code for the following paper, if you use it ...

Abstract: The issue of single sample per person (SSPP ... Global structural information is extracted from local features by a sparse autoencoder in the second layer, which reduces the negative effect ...

The stacked sparse autoencoder is a powerful deep learning architecture composed of multiple autoencoder layers, with each layer responsible for extracting features at different levels.

Abstract: The issue of single sample per person (SSPP ... Global structural information is extracted from local features by a sparse autoencoder in the second layer, which reduces the negative effect ...