Complex-valued neural networks Complex-Valued Neural Networks Page 2 IEEE Press 445
Hoes Lane Piscataway, NJ 08854 IEEE Press Editorial Board 2013 John Anderson, Editor in …

The problem of automatically matching composite sketches to facial photographs is
addressed in this paper. Previous research on sketch recognition focused on matching …

This paper proposes a novel face descriptor based on color information, ie, so-called local
color vector binary patterns (LCVBPs), for face recognition (FR). The proposed LCVBP …

This paper presents the concept of color space normalization (CSN) and two CSN
techniques, ie, the within-color-component normalization technique (CSN-I) and the across …

This paper presents a basic color image discriminant (CID) model and its general version for
color image recognition. The CID models seek to unify the color image representation and …

This paper presents learning the uncorrelated color space (UCS), the independent color
space (ICS), and the discriminating color space (DCS) for face recognition. The new color …

Bag-of-words image representations based on local descriptors are common in image
classification and retrieval tasks. However, in order to achieve state-of-the-art results …

There are several methods to recognize and reconstruct a human face image. The principal
component analysis (PCA) is a successful approach because of its effective extraction of the …

Canonical correlation analysis (CCA) is a powerful statistical analysis technique, which can
extract canonical correlated features from two data sets. However, it cannot be directly used …

Numerous algorithms that can identify suspects depicted in sketches following eyewitness
descriptions of criminals are currently being developed because of their potential …