An orthonormal basis matrix X of a subspace X is known not to be
unique,...
This paper is concerned with establishing a trace minimization principle...
We consider a class of eigenvector-dependent nonlinear eigenvalue proble...
Ky Fan's trace minimization principle is extended along the line of the
...
A trace ratio optimization problem over the Stiefel manifold is investig...
Multi-view datasets are increasingly collected in many real-world
applic...
We propose a unified framework for multi-view subspace learning to learn...
We present a comprehensive convergence analysis for Self-Consistent Fiel...
We establish a family of subspace-based learning method for multi-view
l...
We consider the following constrained Rayleigh quotient optimization pro...
We propose an efficient algorithm for solving orthogonal canonical
corre...
We present first-order perturbation analysis of a simple eigenvalue and ...
Cody & Waite argument reduction technique works perfectly for reasonably...