Riemannian proximal stochastic gradient descent for sparse 2DPCA.
Zhuan ZhangShuisheng ZhouDong LiTing YangPublished in: Digit. Signal Process. (2022)
Keyphrases
- stochastic gradient descent
- least squares
- loss function
- matrix factorization
- step size
- face recognition
- random forests
- sparse representation
- support vector machine
- multiple kernel learning
- high dimensional
- principal component analysis
- regularization parameter
- dimensionality reduction
- online learning
- online algorithms
- training data
- recommender systems
- nonnegative matrix factorization
- principal components
- differential evolution
- machine learning algorithms
- collaborative filtering