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Titlebook: Computer Recognition Systems 4; Robert Burduk,Marek Kurzyński,Andrzej ?o?nierek Conference proceedings 2011 Springer Berlin Heidelberg 201

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書目名稱Computer Recognition Systems 4
編輯Robert Burduk,Marek Kurzyński,Andrzej ?o?nierek
視頻videohttp://file.papertrans.cn/234/233710/233710.mp4
概述Recent research on Computer Recognition Systems.Proceedings of the 7th International Conference on Computer Recognition Systems CORES 2011 held in Wroclaw, Poland, in May of 2011.Written by leading ex
叢書名稱Advances in Intelligent and Soft Computing
圖書封面Titlebook: Computer Recognition Systems 4;  Robert Burduk,Marek Kurzyński,Andrzej ?o?nierek Conference proceedings 2011 Springer Berlin Heidelberg 201
描述.The computer recognition systems are nowadays one of the most promising directions in artificial intelligence. This book is the most comprehensive study of this field. It contains a collection of 78 carefully selected articles contributed by experts of pattern recognition. It reports on current research with respect to both methodology and applications. In particular, it includes the following sections:.Biometrics,.Features, learning and classifiers,.Image processing and computer vision,.Knowledge acquisition based on reasoning methods.Medical applications,.Miscellaneous applications,.This book is a great reference tool for scientists who deal with the problems of designing computer pattern recognition systems. Its target readers can be as well researchers as students of computer science, artificial intelligence or robotics..
出版日期Conference proceedings 2011
關(guān)鍵詞Computational Intelligence; Computer Recognition Systems
版次1
doihttps://doi.org/10.1007/978-3-642-20320-6
isbn_softcover978-3-642-20319-0
isbn_ebook978-3-642-20320-6Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer Berlin Heidelberg 2011
The information of publication is updating

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https://doi.org/10.1057/9781137449146pact of different weights applied to segment’s characteristic features on lip print recognition results. After further improvements the presented method can be used in criminal identification systems.
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Adding lemma handling to default logics, the same environment. This is the start point for a manifold research in the area of DTs, which will bring advanced meta-learning algorithms providing new knowledge about DT induction and optimal DT models for many kinds of data.
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Putting default logics into perspective,, medicine, or biology, mechanisms assisting the decision-making process facilitate work significantly. One of the key issues is the reliability of made decisions. However, this issue is often passed over due to great increase in the amount of data processed by those systems, what forces the designers to focus on the systems’ efficiency.
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