Research Paper On Face Recognition System

Click on any of the term papers to read a brief synopsis of the research paper. The essay synopsis includes the number of pages and sources cited in the paper.

  • Face Recognition

    This 4 page paper discusses face recognition, both in humans and in automatic systems. Bibliography lists 22 sources.

  • Comparing Healthcare in Zambia with Healthcare in United States

    This 14 page paper looks at the universal healthcare system in Zambia, considering its main characteristics, underlying philosophies as well as the strengths and weaknesses of the system along with the challenges it faces. This system is then compared with the healthcare system of the United States, with both systems discussed in the context of the social and economic environment within their relative countries. The bibliography cites 11 sources.

  • Performance Management and Incentive Plan Design

    This 10 page paper considers the development of a performance management and incentive plan for the field and corporate staff of a fictitious company. The plan has to balance team based and individual based rewards, to determine when there should be the use of cash and non cash incentives and show how this can be communicated and administered without adding to the overheads. The plan looks at a targeted profit share system as well team and individual assessment that are linked to wages or salary as well as non financial rewards such as recognition and attending events. The bibliography cites 4 sources.

  • Development of Automatic Speech Recognition Systems

    This 14-page paper describes some of the problems inherent in developing automatic speech recognition systems. It discusses the technology (including N-grams, classes and decision trees); barriers; and the problem of accents. Bibliography lists 15 sources.

  • Developing New Medicines through Neural Networks and Expert Systems' Pattern Recognition and Diagnostic Abilities

    6 pages in length. The extent to which diagnostic and pattern-recognition abilities of expert systems and neural networks aid bioinformatics research and the development of new medicines is both grand and far-reaching. That artificial intelligence (AI) has become an integral component of medical advancement speaks to the growing need for machines that can start with a basis of man's knowledge and aptitude and expound upon it with self-learning abilities. Bibliography lists 9 sources.

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