Co-occurring keywords · papers mentioning both
Papers
Sparse Quadratic Optimisation over the Stiefel Manifold with Application to Permutation Synchronisation
NeurIPS 2021
An Implicit Form of Krasulina's k-PCA Update without the Orthonormality Constraint
AAAI 2020
A Practical Riemannian Algorithm for Computing Dominant Generalized Eigenspace
UAI 2020
Continual Learning in Low-rank Orthogonal Subspaces
NeurIPS 2020
Efficient Riemannian Optimization on the Stiefel Manifold via the Cayley Transform
ICLR 2020
Expressiveness and Learning of Hidden Quantum Markov Models
AISTATS 2020
A Neural Network Based on SPD Manifold Learning for Skeleton-Based Hand Gesture Recognition
CVPR 2019
Fast Low-rank Metric Learning for Large-scale and High-dimensional Data
NeurIPS 2019
Non-smooth Optimization over Stiefel Manifolds with Applications to Dimensionality Reduction and Graph Clustering
IJCAI 2019
Quadratic Optimization with Orthogonality Constraints: Explicit Lojasiewicz Exponent and Linear Convergence of Line-Search Methods
ICML 2016
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
Statistical Dynamics of On-line Independent Component Analysis
JMLR 2003