Kernelized transformed subspace clustering with geometric weights for non-linear manifolds
The naive assumption of subspace clustering is that the data should be separable into
separate subspaces. Another consideration of the conventional subspace clustering …
separate subspaces. Another consideration of the conventional subspace clustering …
Nonlinear subspace clustering by functional link neural networks
Nonlinear subspace clustering based on a feed-forward neural network has been
demonstrated to provide better clustering accuracy than some advanced subspace …
demonstrated to provide better clustering accuracy than some advanced subspace …
Low-rank representation integrated with principal line distance for contactless palmprint recognition
Contactless palmprint recognition has recently begun to draw attention of researchers.
Different from conventional palmprint images, contactless palmprint images are captured …
Different from conventional palmprint images, contactless palmprint images are captured …