An incremental learning vector quantization algorithm for pattern classification

By Ye Xu, Shen Furao, Jinxi Zhao. 2012

49 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. Chi-Guhn Lee
2. Kuilin Chen

In Computer Vision and Pattern Recognition

1. Chi-Guhn Lee
2. Kuilin Chen

Citations in the corpus

• Incremental few-shot learning via vector quantization in deep embedded space (2021, methodology): “For example, incremental learning vector quantization (ILVQ) has been developed to learn classification models adaptively from raw features (Xu et al., 2012).”