Several variants of Linear Discriminant Analysis (LDA) have been investigated to address
the vanishing of the within-class scatter under projection to a low-dimensional subspace in …

We investigate content-based image retrieval employing a representation of images based
on the statistics of their spectral components and a new linear dimension reduction …

Face retrieval has received much attention in recent years. This paper comparatively studied
five feature description methods for face representation, including Local Binary Pattern …

Efficient multimedia image extraction with high precision compatible with diverse image
datasets is an implicit requirement of current image retrieval systems. In this paper, a …

In many pattern classification problems, efficiently learning a suitable low-dimensional
representation of high dimensional data is essential. The advantages of linear dimension …

The spectral histogram features are not invariant to images' scale transformation. We
investigate in the technique of scale-invariant feature extraction. An approach is proposed to …