Face detection is an interesting area in research application of computer vision and pattern
recognition, especially during the past several years. It is also plays a vital role in …

The identification of cut marks and other bone surface modifications (BSM) provides
evidence for the emergence of meat-eating in human evolution. This most crucial part of …

This paper proposes an improved Convolutional Neural Network (CNN) algorithm approach
for license plate recognition system. The main contribution of this work is on the …

UN/CEFACT's modeling methodology (UMM) is a UML profile for modeling global B2B
choreographies. The basic building blocks of UMM are business transactions, which …

Large-scale genome-wide association studies (GWAS) and expression quantitative trait
locus (eQTL) studies have identified multiple non-coding variants associated with genetic …

This paper presents a scale and rotation invariant face detection system. The system
employs a hierarchical neural network, called SICoNNet, whose processing elements are …

With the unambiguous statement on the importance of facial configuration for the judgments
of human emotion, facial expression recognition has been the utmost research in affective …

In this paper, we propose a hardware computing architecture for face detection that
classifies an image as a face or non-face. The computing architecture is first designed …

This paper presents a novel algorithm for the dimensionality reduction which employs
compressed sensing (CS) to improve the generalization capability of a classifier, especially …

This paper provides a novel approach towards face area localization through analyzing the
shape characteristics of human body. The face region is extracted by determining the sharp …