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Multiple Classifier Systems - 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings (Paperback, 2004 ed.)
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Multiple Classifier Systems - 5th International Workshop, MCS 2004, Cagliari, Italy, June 9-11, 2004, Proceedings (Paperback, 2004 ed.)
Series: Lecture Notes in Computer Science, 3077
Expected to ship within 10 - 15 working days
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The fusion of di?erent information sourcesis a persistent and
intriguing issue. It
hasbeenaddressedforcenturiesinvariousdisciplines,
includingpoliticalscience, probability and statistics, system
reliability assessment, computer science, and distributed detection
in communications. Early seminal work on fusion was c- ried out by
pioneers such as Laplace and von Neumann. More recently, research
activities in information fusion have focused on pattern
recognition. During the 1990s, classi?erfusionschemes,
especiallyattheso-calleddecision-level, emerged under a plethora of
di?erent names in various scienti?c communities, including machine
learning, neural networks, pattern recognition, and statistics. The
d- ferent nomenclatures introduced by these communities re?ected
their di?erent perspectives and cultural backgrounds as well as the
absence of common forums and the poor dissemination of the most
important results. In 1999, the ?rst workshop on multiple classi?er
systems was organized with the main goal of creating a common
international forum to promote the diss- ination of the results
achieved in the diverse communities and the adoption of a common
terminology, thus giving the di?erent perspectives and cultural ba-
grounds some concrete added value. After ?ve meetings of this
workshop, there is strong evidence that signi?cant steps have been
made towards this goal. - searchers from these diverse communities
successfully participated in the wo- shops, and world experts
presented surveys of the state of the art from the perspectives of
their communities to aid cross-fertilizat
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