Survey on distance metric learning and dimensionality reduction in data mining
By Fei Wang, Jimeng Sun. 2014
187 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
- Francisco Herrera
- Salvador Garcia
- M. J. Jesús
- Francisco Charte
- Gan Sun
- Xiaowei Xu
- David Charte
- Ji Liu
In Computer Vision and Pattern Recognition
- Salvador Garcia
- Francisco Herrera
- Gan Sun
- Xiaowei Xu
- M. J. Jesús
- Francisco Charte
- David Charte
- Ji Liu
Citations in the corpus
- A practical tutorial on autoencoders for nonlinear feature fusion: Taxonomy, models, software and guidelines (2018, background): “In the first case, they are usually known as distance metric learning techniques [95].”
- Lifelong Metric Learning (2017, background): “ONLINE metric/similarity learning has received remarkable success in a variety of applications [1]–[3], such as data mining [4], information retrieval [5], and computer vision [6], [7], mainly due to its high efficiency and scalability to large-scale dataset.”