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Titlebook: Computer Recognition Systems; Proceedings of 4th I Marek Kurzyński,Edward Pucha?a,Andrzej ?o?nierek Conference proceedings 2005 Springer-Ve

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書目名稱Computer Recognition Systems
副標(biāo)題Proceedings of 4th I
編輯Marek Kurzyński,Edward Pucha?a,Andrzej ?o?nierek
視頻videohttp://file.papertrans.cn/234/233707/233707.mp4
概述Presents the latest results in Computer recognition Systems, Pattern Recognition, Machine Learning, Web and Data mining.Includes supplementary material:
叢書名稱Advances in Intelligent and Soft Computing
圖書封面Titlebook: Computer Recognition Systems; Proceedings of 4th I Marek Kurzyński,Edward Pucha?a,Andrzej ?o?nierek Conference proceedings 2005 Springer-Ve
描述th This book contains papers accepted for presentation at the 4 International Conference on Computer Recognition Systems CORES‘05, May 22-25, 2005, Rydzyna Castle (Poland), This conference is a continuation of a series of con- ferences on similar topics (KOSYR) organized each second year, since 1999, by the Chair of Systems and Computer Networks, Wroclaw University of Tech- nology. An increasing interest to those conferences paid not only by home but also by foreign participants inspired the organizers to transform them into conferences of international range. Our expectations that the community of specialists in computer recognizing systems will find CORES‘05 a proper form of maintaining the tradition of the former conferences have been confirmed by a large number of submitted papers. Alas, organizational constraints caused a necessity to narrow the acceptance criteria so that only 100 papers have been finally included into the conference program. The area covered by accepted papers is still very large and it shows how vivacious is scientific activity in the domain of computer recognition methods and systems. It contains vari- ous theoretical approaches to the recognition problem
出版日期Conference proceedings 2005
關(guān)鍵詞Signal; architecture; classification; cognition; computer vision; decision support system; image processin
版次1
doihttps://doi.org/10.1007/3-540-32390-2
isbn_softcover978-3-540-25054-8
isbn_ebook978-3-540-32390-7Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer-Verlag Berlin Heidelberg 2005
The information of publication is updating

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Motivation of the local approachfor three types of ensembles of linear classifiers. The tests show that these measures are better at predicting recognition accuracy than established diversity measures, such as . or disagreement measures, or entropy.
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