Types of (dis-)similarities and adaptive mixtures thereof for improved classification learning

By D. Nebel, M. Kaden, A. Villmann, Thomas Villmann. 2017

34 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Computer Vision and Pattern Recognition, Molecular Biology

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. Sascha Saralajew
2. Maike Rees
3. Lars Holdijk
4. Thomas Villmann
5. Chi-Guhn Lee
6. Kuilin Chen

In Computer Vision and Pattern Recognition

1. Sascha Saralajew
2. Maike Rees
3. Lars Holdijk
4. Thomas Villmann
5. Chi-Guhn Lee
6. Kuilin Chen

Citations in the corpus

• Prototype-based Neural Network Layers: Incorporating Vector Quantization (2018, background): “For a detailed consideration we refer to [10, 11].”