Publisher
Springer International Publishing
Reference69 articles.
1. P-A Absil, Robert Mahony, and Rodolphe Sepulchre. Optimization algorithms on matrix manifolds. Princeton University Press, 2009.
2. Kofi P Adragni and R Dennis Cook. “Sufficient dimension reduction and prediction in regression”. In: Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences 367.1906 (2009), pp. 4385–4405.
3. Ershad Banijamali, Amir-Hossein Karimi, and Ali Ghodsi. “Deep variational sufficient dimensionality reduction”. In: Third workshop on Bayesian Deep Learning (NeurIPS 2018). 2018.
4. Elnaz Barshan et al. “Supervised principal component analysis: Visualization, classification and regression on subspaces and submanifolds”. In: Pattern Recognition 44.7 (2011), pp. 1357–1371.
5. Mikhail Belkin and Partha Niyogi. “Laplacian eigenmaps and spectral techniques for embedding and clustering”. In: Nips. Vol. 14. 14. 2001, pp. 585–591.