Titlebook: Advances in Reasoning-Based Image Processing Intelligent Systems; Conventional and Int Roumen Kountchev,Kazumi Nakamatsu Book 2012 Springer

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Reddy Rani Vangimalla,Jaya Sreevalsan-NairParaconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of manipulating uncertainty, inconsistent and paracomplete concepts. Some applications are presented in speech production analysis and cephalometrich variables analys

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https://doi.org/10.1007/978-981-15-9700-8rrelated issues as randomization, dimensionality reduction, incompleteness, heuristics, as well as various representational paradigms. In particular, randomization is shown to underpin creativity, heuristics are shown to serve as the basis for intelligence, and incompleteness implies the need for he

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Suresh Balusamy,Alexander N. Dudin,B. Malartructs fuzzy membership profiles of the organizationmembers or teams in terms of the taxonomy’s leaves (research topics), and then it generalizes them in two steps. These steps are: (i) fuzzy clustering research topics according to their thematic similarities in the department, ignoring the topology

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Advances in Reasoning-Based Image Processing Intelligent Systems978-3-642-24693-7Series ISSN 1868-4394 Series E-ISSN 1868-4408

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Reddy Rani Vangimalla,Jaya Sreevalsan-NairParaconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of manipulating uncertainty, inconsistent and paracomplete concepts. Some applications are presented in speech production analysis and cephalometrich variables analysis.

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Attention in Image Sequences: Biology, Computational Models, and ApplicationsThe ability to automatically detect visually interesting regions in images and video has many practical applications, especially in the design of active machine vision and automatic visual surveillance systems.

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Paraconsistent Artificial Neural Networks and Pattern Recognition: Speech Production Recognition andParaconsistent Artificial Neural Network - PANN - is built from the algorithm Para-analyzer and has as characteristics the capability of manipulating uncertainty, inconsistent and paracomplete concepts. Some applications are presented in speech production analysis and cephalometrich variables analysis.

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