Titlebook: Enterprise Information Systems; 12th International C Joaquim Filipe,José Cordeiro Conference proceedings 2011 Springer Berlin Heidelberg 20

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Enterprise Information Systems978-3-642-19802-1Series ISSN 1865-1348 Series E-ISSN 1865-1356

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https://doi.org/10.1007/978-3-030-26852-7dean. The Euclidean vector spaces, traditionally used in pattern recognition and machine learning may thereby be suboptimal. We will show this by some examples. Causes and consequences of non-Euclidean representations will be discussed. It is conjectured that human judgment of object differences res

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The Vision of a Nation: Introduction,ealing to people outside the evolutionary computation community, and therefore a valuable tool in the eld of enterprise information systems. Initial empirical evaluation of the peer to peer architecture demonstrates better harnessing of the available resources, as well as added robustness and improv

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Non-Euclidean Problems in Pattern Recognition Related to Human Expert Knowledgeern recognition tries to bridge human judgment with measurements made by artificial sensors. This is done in two steps: representation and generalization..Traditional object representations in pattern recognition, like features and pixels, either neglect possibly significant aspects of the objects,

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