Due to the robustness of Gabor features against local distortions caused by variance of
illumination, expression and pose, they have been successfully applied for face recognition …

Face detection and recognition are emerging and active research areas in computer vision
and deep learning. Face detection and recognition have a wide range of applications such …

Landslide susceptibility assessment of Uttarakhand area of India has been done by applying
five machine learning methods namely Support Vector Machines (SVM), Logistic …

An image is worth a thousand words; hence, a face image illustrates extensive details about
the specification, gender, age, and emotional states of mind. Facial expressions play an …

The traditional image representations are not suited to conventional classification methods,
such as the linear discriminant analysis (LDA), because of the under sample problem (USP) …

Most face recognition systems focus on photo-based face recognition. In this paper, we
present a face recognition system based on face sketches. The proposed system contains …

Finding information hidden in data is as theoretically difficult as it is practically important.
With the objective of discovering unknown patterns from data, the methodologies of data …

BACKGROUND The present invention relates generally to handheld, pointing devices and,
more specifically to three-dimensional (hereinafter" 3D) pointing devices and techniques for …

A novel and uniform framework for both face identification and verification is presented in
this paper. The framework is based on a combination of Gabor wavelets and General …

BACKGROUND The present invention describes three-dimensional (here inafter" 3D)
pointing techniques, systems and devices, as well as Some techniques and devices which …