Multi-linear neighborhood preserving projection for face recognition
A new method for supervised and unsupervised dimensionality reduction problem. Work in embedded manifold to allow representation of multi-dimensional images. Natural extension to 2-D, 3-D or higher-order tensors. Combine intrinsic geometry and discriminative information for face recognition. Avoid the small sample size and the curse of dimensionality problems.
face recognition dimensionality reduction feature extraction multi-linear projection neighborhood preserving projection (npp) tensor analysis