Laplacian Auto-Encoders: An explicit learning of nonlinear data manifold

By K. Jia, Lin Sun, Shenghua Gao, Zhan Song, Bertram E. Shi. 2015

76 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Francisco Herrera
2. Salvador Garcia
3. M. J. Jesús
4. Francisco Charte
5. David Charte
6. Alberto Fernández
7. Enrique Herrera-Viedma
8. Julián Luengo

In Computer Vision and Pattern Recognition

1. Salvador Garcia
2. Francisco Herrera
3. M. J. Jesús
4. Francisco Charte
5. David Charte

Citations in the corpus

• A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines (2018, background): “properties into the objective function, such as Laplacian AEs [106].”