Gradient-Based Kernel Dimension Reduction for Regression

By Kenji Fukumizu, Chenlei Leng. 2014

86 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Statistics and Probability

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Praneeth Vepakomma
2. Ahmed M. Elgammal
3. Chetan Tonde
4. Mohamed Elhoseiny
5. Thierry Bouwmans
6. Luc Van Gool
7. Ramesh Raskar
8. Otkrist Gupta

In Statistics and Probability

1. Ahmed M. Elgammal
2. Chetan Tonde
3. Praneeth Vepakomma

Citations in the corpus

• Supervised Dimensionality Reduction via Distance Correlation Maximization (2016, methodology): “…of our proposed method (DisCoMax), and six other supervised dimensionality reduction techniques namely; LSDR [Suzuki and Sugiyama, 2013], gKDR [Fukumizu and Leng, 2014], SCA [Yamada et al., 2011], LAD [Cook and Forzani, 2009], SAVE [Shao et al., 2009] and [Shao et al., 2007] and SIR [Li,…”