A multilevel framework for linear projection constraints

Dimensionality reduction is often required as a preliminary stage in many data analysis applications. In this paper, we propose a novel supervised dimensionality reduction method, called linear discriminant projection embedding (LDPE), for pattern ...

This paper proposes a novel method of supervised and unsupervised multi-linear neighborhood preserving projection (MNPP) for face recognition. Unlike conventional neighborhood preserving projections, the MNPP method operates directly on tensorial data ...

We propose a multilevel projection-based method for acceleration of Krylov subspace methods. The projection is constructed in a similar way as in deflation but shifts small eigenvalues to the largest one instead of to zero. In contrast with deflation, ...