Dimensionality reduction strategy based on auto-encoder
By Yasi Wang, Hongxun Yao, Sicheng Zhao, Ying Zheng. 2015
28 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
In Computer Vision and Pattern Recognition
Citations in the corpus
- Relational autoencoder for feature extraction (2017, background): “A series of applications [27–29, 31, 32] of GAE confirm that maintaining data relationships can achieve better results but results are highly dependent on how to define and choose distance weights.”