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by
Wen, Haiguang, author.
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whether neuroscience theory can be applied to artificial models to advance computer vision. To address
by
da Silva, Ivan Nunes. author.
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Quantization (LVQ) and Counter-Propagation Network -- Adaptive Resonance Theory (ART) -- Part II – Artificial
by
Zelkowitz, Marvin V., 1945-
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Vision by Jan-Mark Geusebroek -- Chapter 4. Verification and Validation and Artificial Intelligence by
by
Dechter, Rina, 1950-
ScienceDirect http://www.sciencedirect.com/science/book/9781558608900
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artificial intelligence, databases and programming languages, operations research, management science, and
by
Rzevski, G. (George)
ScienceDirect http://www.sciencedirect.com/science/book/9780750624039
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vision. This student guide shows how fifty years of research into artificial intelligence (AI) have borne
by
Geller, James.
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, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is
by
Boden, Margaret A.
ScienceDirect http://www.sciencedirect.com/science/book/9780121619640
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representation, learning, expert systems, vision, natural language, creativity, and human-computer interaction
by
Marton, L. (Ladislaus), 1901-
ScienceDirect http://www.sciencedirect.com/science/book/9780120145201
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Machines; VI. Artificial Vision by Direct Stimulation of the Brain; VII. Some Engineering Contributions to
by
Joshi, Keyur Dineshchandra, author.
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The automated inspection and sorting of parts is a common application of Machine Vision (MV). The
by
Xhafa, Fatos. editor.
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, pattern recognition and vision systems, mobile computing and intelligent networking, and e-enabled systems
by
Shakhovska, Natalya. editor.
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. It covers computational and artificial intelligence methods, as well as advances in computer vision
by
Fogel, David B.
ScienceDirect http://www.sciencedirect.com/science/book/9781558607835
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engaging style for readers with no background in computer science or artificial intelligence. * Examines




