In recent face recognition techniques utilizing the color information, researchers tried to
select one conventional color space or learn a color space from the given training data to …

In this paper, an efficient feature extraction method, named local structure preserving
discriminant analysis (LSPDA), is presented. LSPDA constructs the local scatter and the …

The robust structural feature extraction and similarity measure play critical roles in person re-
identification. This paper presents a novel algorithm named Multiple Metric Learning based …

Colour information has been shown to be effective in improving object recognition
performance. In this paper, we propose a novel quaternion-based colour model with …

Canonical correlation analysis (CCA) is a kind of classical multivariate analysis method.
Less canonical correlation variables are used to describe the relationship between two …

As a newly developed singular value decomposition of the reduced quaternion matrix
(SVDRQ), the two reduced quaternion unitary matrices can effectively capture the intrinsic …

Slow feature discriminant analysis (SFDA) is an attractive biologically inspired learning
method to extract discriminant features for classification. However, SFDA heavily relies on …

Person re-identification plays an important role for automatic search of a person's presence
in a surveillance video, and feature representation is a critical and fundamental problem for …

Abstract Slow Feature Discriminant Analysis (SFDA) is a supervised feature extraction
method for classification inspired by biological mechanism. However, SFDA only considers …

Colour images are increasingly used in the fields of computer vision, pattern recognition and
machine learning, since they can provide more identifiable information than greyscale …