鲁棒非线性矩阵分解
2022-02-17 科研项目
一、项目描述
Robust Non-Linear Matrix Factorization for Dictionary Learning, Denoising, and Clustering.
IEEE Transactions on Signal Processing, 2021(69): 1755-1770.
二、主要痛点
(1)Nonlinear dictionary learning;
(2)Robust matrix factorization.
三、解决方案
Low-rank factorization in kernel feature space in the presence of noise and outliers in data space.
四、主要贡献/价值
(1)Robust nonlinear matrix factorization
(2)Efficient denoising and clustering methods
五、合作伙伴
Jicong Fan,Chengrun Yang,Madeleine Udell
•Numerical results