We overcome the shortcomings of CCA when dealing with high-dimensional matrix.
The singularity of generalized eigenvalue problem in CCA is overcome naturally.
The important discriminative information is preserved completely in our algorithm.
Our scheme learns stable and complete solutions.
The multi-view gait recognition is achieved based on our method.