Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Software
Reference66 articles.
1. Ahmadkhani S, Adibi P (2016) Face recognition using supervised probabilistic principal component analysis mixture model in dimensionality reduction without loss framework. IET Comput Vis 10(3):193–201
2. Aït-Sahalia Y, Xiu D (2019) Principal component analysis of high-frequency data. J Am Stat Assoc 114(525):287–303
3. Avron H, Boutsidis C, Toledo S, Zouzias A (2013) Efficient dimensionality reduction for canonical correlation analysis. In: International conference on machine learning, pp 347–355
4. Bunte K, Biehl M, Hammer B (2012) A general framework for dimensionality-reducing data visualization mapping. Neural Comput 24(3):771–804
5. Chao G, Luo Y, Ding W (2019) Recent advances in supervised dimension reduction: a survey. Mach Learn Knowl Extr 1(1):341–358
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