Conventional subspace learning approaches based on image gradient
orient...
During the past decade, representation-based classification methods have...
Recent years have witnessed the success of dictionary learning (DL) base...
The kernel function is introduced to solve the nonlinear pattern recogni...
Representation based classification methods have become a hot research t...
In order to enhance the performance of image recognition, a sparsity
aug...
The technology of face recognition has made some progress in recent year...
Recently, sparse subspace clustering has been a valid tool to deal with
...
We consider the problem of robust face recognition in which both the tra...
Face recognition remains a hot topic in computer vision, and it is
chall...
Face recognition has been widely studied due to its importance in smart
...
Sparse-representation-based classification (SRC) has been widely studied...
Discriminative dictionary learning (DDL) has recently gained significant...
Representation based classification method (RBCM) remains one of the hot...
Latest least squares regression (LSR) methods mainly try to learn slack
...