The paper contains description of hybrid methods of face recognition which are based on independent component analysis, principal component analysis and rough set theory. The feature extraction and pattern forming from face images have been provided using Independent Component Analysis and Principal Component Analysis. The feature selection/reduction has been realized using the rough set techni...

In this paper a new area based technique is proposed for deriving gait signatures by decomposing the human body into three independent structural segments such as head node, arm swing and leg swing areas. Initially, all the feature points are represented as the sides of an n-sided polygon for calculating the area of each region. This technique induces surplus noise in the feature points which i...

The development of multimedia technology in Content Based Image Retrieval (CBIR) System is one of the prominent area to retrieve the images from a large collection of database. It is practically observed that any one algorithm is not efficient in extracting all different types of natural images. Hence a thorough analysis of certain color, texture and edge extraction techniques are carried out t...

Manufacturability Analysis Systems (MASs) have been developed to enable the evaluation of easy of manufacture parts during the design stage enabling the reduction of costs and time to market of the designed products. The feature analysis approach is one of the methods used to gather information from the proposed design for manufacturability assessment purposes. The objective of this paper is to...

Face recognition has received much attention in recent years due to its many applications such as human computer interface, video surveillance and face image database management. It is a challenging technique due to under different lighting conditions, facial expressions and changes in head pose. Single class of feature is not enough to capture all the available information in face. Multi algor...

Software product lines are families of products defined by feature commonality and variability, with a well-managed asset base. Recent work in testing of software product lines has exploited similarities in different development phases to reuse shared assets and reduce test effort. The use of feature dependence graphs has also been employed, and there has been some work that aims to reduce dupl...

With the rapid rise of wearable sleep monitoring devices with non-conventional electrode configurations, there is a need for automated algorithms that can perform staging on configurations small amounts labeled data. Transfer learning has ability to adapt neural network weights from source modality (e.g. standard configuration) new target configuration). We propose feature matching, transfer st...