Informatics Publishing Limited

Sameer Sadiq Sofi ¹, Rafi Ahmad Khan ²

Affiliations
1 Department of Computer Science, Mewar University, Chittorgarh, Rajasthan, IN
2 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN

Abstract

Face Recognition is a computer application for automatically identifying a person from a still image or video frame. The face recognition problem is challenging as it needs to account for all possible appearance variation caused by change in illumination, facial features, occlusions, pose, face expression, identity etc. It has received a great deal of attention over the last few years because of its many applications in various domains.  This paper presents a general framework of facial recognition and reviews various techniques of facial recognition especially neural networks which has emerged as the best technique for facial recognition. This paper also discusses various applications of facial recognition.

Keywords

Face Recognition, Person Identification, Biometrics, Neural Networks.

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Rafi Ahmad Khan ¹

Affiliations
1 Business School, University of Kashmir, Srinagar, Jammu and Kashmir, IN

Abstract

Machine Learning (ML) is the ability of the machine to learn from the previous experience or history and perform better at a given task, as the future mimics the past. It is considered as a subfield of Artificial Intelligence (AI) and it is concerned with the development of techniques and methods which enable the computer to learn. In simple terms, it is considered as the science of development of algorithms which enable the machine to learn and perform tasks and activities. ML is a proven to have significant impact on both industry and research and there are numerous successful applications of ML. This paper discusses the definitions ML, various techniques of ML and highlights its various applications in research and business areas.

Keywords

Machine Learning, Neural Networks, Self-Organizing Maps (SOM), Genetic Algorithm.

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Rafi Ahmad Khan ¹

Affiliations
1 University of Kashmir, Srinagar, Jammu and Kashmir, IN

Abstract

Collaborative decision-making is an essential part of organizational life. In order to facilitate decision-making processes, meetings are quite often held because all parties can be involved and relevant issues can be discussed/addressed collectively in a single setting. It has been seen that managers spend about 1/3rd of their total work time in carrying out group meetings which sometimes prove to be inefficient, failing to resolve issues. In order to enhance the efficiency and effectiveness of group meetings, a system known as Group Decision Support System (GDSS) has been developed. This paper gives a an introduction of the system, explains how GDSS helps meeting groups in different scenarios not only to share the information generated by computers, but also to edit it simultaneously, with immediate results. The paper also highlights some advantages which will be bought about by successful implementation of this system.

Keywords

DSS, GDSS, Groupware, Work Flow Management, Decision Making.

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