Target detection is the field of hyperspectral imaging where the materials or objects of
interest are detected from images captured by hyperspectral sensors. This methodology has …

Retrieving unsafe behaviours from an existing digital database can provide managers and
the like with the necessary information to put in place strategies to improve safety in …

Unsupervised Learning Approaches for Dimensionality Reduction and Data Visualization
describes such algorithms as Locally Linear Embedding (LLE), Laplacian Eigenmaps …

Dimensionality reduction (DR) algorithms are diverse and widely used for analyzing high-
dimensional data. Various metrics and tools have been proposed to evaluate and interpret …

Face detection and recognition has many applications in a variety of fields such as
authentication, security, video surveillance and human interaction systems. In this paper, we …

In the field of face recognition, the major challenge that encountered classification
algorithms, is to deal with the high dimensionality of the space representing data faces …

In this paper, a color face recognition system is developed to identify human faces using
Back propagation neural network. The architecture we adopt is All-Class-in-One-Network …

The beginning of the 21st century was rich in events that turned the world's attention to
public security. Increase in technological advancement gave people possibilities of …

In this paper, we propose a fuzzy similarity based classification approach for 3D face
recognition. In the feature extraction method, we exploit curve concept to represent the 3D …

In this paper, we propose a new fuzzy similarity-based classification (FSBC) method for the
task of gender recognition. The proposed method characterises each individual by …