Oct 5, 2016 · In this paper, we propose an effective and efficient algorithm called Exponential discriminant locality projections (EDLPP) for face recognition.

How to determine the low dimensional manifold is a challenging problem. Locality Preserving Projections (LPP) can gracefully deal with it.

Locality Preserving Projections (LPP) is a linear projective map that arises by solving a variational problem that optimally preserves the neighborhood ...

we propose a locality preserving projection based on matrix exponential. The rest of this paper is organized as follows: in. Section II, we briefly review ...

Jan 28, 2016 · Exponential Discriminant Locality Preserving Projection for Face Recognition. Shucheng Huang, Lu Zhuang. School of Computer Science and ...

In this paper, we propose a novel matrix exponential based discriminant locality preserving projections (MEDLPP). The proposed MEDLPP method can address the SSS ...

A new manifold learning algorithm called locality preserving discriminant projections (LPDP) is proposed by adding between-class scatter matrix and ...

Abstract. As a manifold reduced dimensionality technique, neighborhood preserving discriminant embedding (NPDE) and its variant version have been proposed ...

Apr 4, 2023 · We propose a new algorithm, two-dimensional exponential sparse discriminant local preserving projections (2DESDLPP), to address these problems.

Exponential Discriminant Locality Preserving Projection for face recognition. 顔認識のための保存投影指数判別局所性【Powered by NICT】. Publisher site Copy ...