Computer and Information Science » Artificial Intelligence

  • Human-Centric Machine Vision
    Human-Centric Machine Vision NEW
    Editor Manuela Chessa, Fabio Solari and Silvio P. Sabatini
    (ISBN) 978-953-51-0563-3
    180 pages, May, 2012
    Downloads: 204
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    Recently, the algorithms for the processing of the visual information have greatly evolved, providing efficient and effective solutions to cope with the variability and the complexity of real-world environments. These achievements yield to the devel ...
  • Special Applications of Photogrammetry
    Special Applications of Photogrammetry NEW
    Editor Daniel Carneiro da Silva
    (ISBN) 978-953-51-0548-0
    136 pages, April, 2012
    Downloads: 118
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    Photogrammetry is widely accepted as one of the best surveying methods to acquire tridimensional data without direct contact with the object, but its high operational costs in equipment and personnel somewhat limit its application in mapping. Howeve ...
  • Bayesian Networks
    Bayesian Networks NEW
    Editor Wichian Premchaiswadi
    (ISBN) 978-953-51-0556-5
    114 pages, April, 2012
    Downloads: 362
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    Bayesian Belief Networks are a powerful tool for combining different knowledge sources with various degrees of uncertainty in a mathematically sound and computationally efficient way. A Bayesian network is a graphical model that encodes probabilistic ...
  • Recent Developments in Video Surveillance
    Recent Developments in Video Surveillance
    Editor Hazem El-Alfy
    (ISBN) 978-953-51-0468-1
    122 pages, April, 2012
    Downloads: 366
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  • Machine Vision - Applications and Systems
    Machine Vision - Applications and Systems
    Editor Fabio Solari, Manuela Chessa and Silvio P. Sabatini
    (ISBN) 978-953-51-0373-8
    272 pages, March, 2012
    Downloads: 478
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    Vision plays a fundamental role for living beings by allowing them to interact with the environment in an effective and efficient way. The ultimate goal of Machine Vision is to endow artificial systems with adequate capabilities to cope with not a pr ...
  • Genetic Algorithms in Applications
    Genetic Algorithms in Applications
    Editor Rustem Popa
    (ISBN) 978-953-51-0400-1
    328 pages, March, 2012
    Downloads: 724
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    Genetic Algorithms (GAs) are one of several techniques in the family of Evolutionary Algorithms - algorithms that search for solutions to optimization problems by "evolving" better and better solutions. Genetic Algorithms have been applied in science ...