Oct 13, 2017 · In this work, we present a new approach to represent the spectral images in a holistic manner by employing the well-known Projection Metric ...
This work presents a new approach to represent the spectral images in a holistic manner by employing the well-known Projection Metric Learning (PML) in ...
ABSTRACT. Spectral face recognition is gaining importance as the information from di erent bands can lead to robust face representation that are.
ABSTRACT. Spectral face recognition is gaining importance as the information from di erent bands can lead to robust face representation that are.
In this work, we present a new approach to represent the spectral images in a holistic manner by employing the well-known Projection Metric Learning (PML) in ...
In this work, we present a new approach to represent the spectral images in a holistic manner by employing the well-known Projection Metric Learning (PML) in ...
Collaborative representation of Grassmann manifold projection metric for robust multi-spectral face recognition · hmtl icon · Narayan Vetrekar, Kiran B. Raja ...
Projection Metric Learning (PML) [12] models each image set as a subspace (i.e., a point on a Grassmann manifold), and directly learns a projection matrix on a ...
In this paper, we propose an unsupervised robust dimensionality reduction algorithm for Grassmann manifold based on Neighborhood Preserving Embedding (GNPE).
This article proposes an attention-based framework for multi-view clustering on Grassmann manifold (AMCGM).
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