Sep 14, 2020 · We propose a new unsupervised projection approach, called multi-nonlinear multi-view locality-preserving projections with similarity learning (M 2 LPP-SL).

Multi-nonlinear multi-view locality-preserving projection with similarity learning for random cross-view gait recognition. Authors: Xiaoyun Chen, Yeyuan Kang ...

Subspace learning approaches are designed to solve this issue by projecting cross-view features into a common subspace before recognition. However, similarity ...

Sep 14, 2020 · Abstract. View variation is one of the greatest challenges in the field of gait recognition. Subspace learning approaches are designed.

Multi-nonlinear multi-view locality-preserving projection with similarity learning for random cross-view gait recognition ; ISSN: 0942-4962; 1432-1882 ; 2020 ...

Multi-nonlinear multi-view locality-preserving projection with similarity learning for random cross-view gait recognition. Language: English; Authors: Chen ...

This work proposes a new unsupervised projection approach, called multi-nonlinear multi-view locality-preserving projections with similarity learning ...

View variation is one of the greatest challenges in the field of gait recognition. Subspace learning approaches are designed to solve this issue by ...

To achieve higher correct classification rates for cross-view gait recognition, we develop a coupled locality preserving projections (CLPP) method in this paper ...

The authors in [305] adaptively learn the similarity information among cross-view gait sequences using their proposed projection approach, known as, multi- ...