Research on denoising sparse autoencoder

By Lingheng Meng, Shifei Ding, Yu Xue. 2016

61 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. Paul J. Kennedy
2. Qinxue Meng

In Computer Vision and Pattern Recognition

1. D. Skillicom
2. Paul J. Kennedy
3. Daniel R. Catchpoole
4. Qinxue Meng

Citations in the corpus

• Relational autoencoder for feature extraction (2017, background): “Although subsequent applications [27–32] confirm that considering data relationship can improve the performance of autoencoder in dimensionality reduction, the Generalized Autoencoder model has some drawbacks.”