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Titlebook: Computer Recognition Systems 3; Marek Kurzynski,Michal Wozniak Book 2009 Springer-Verlag Berlin Heidelberg 2009 artificial intelligence.co

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发表于 2025-3-21 18:04:33 | 显示全部楼层 |阅读模式
书目名称Computer Recognition Systems 3
编辑Marek Kurzynski,Michal Wozniak
视频videohttp://file.papertrans.cn/234/233709/233709.mp4
概述Presents latest results in Computer recognition Systems, Pattern Recognition, Machine Learning,.Web and Data mining
丛书名称Advances in Intelligent and Soft Computing
图书封面Titlebook: Computer Recognition Systems 3;  Marek Kurzynski,Michal Wozniak Book 2009 Springer-Verlag Berlin Heidelberg 2009 artificial intelligence.co
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 69 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:....Features, learning and classifiers,..Image processing and computer vision,..Speech and word recognition,..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 the as well researchers as students of computer science, artificial intelligence or robotics..
出版日期Book 2009
关键词artificial intelligence; cognition; computational intelligence; computer science; computer vision; data m
版次1
doihttps://doi.org/10.1007/978-3-540-93905-4
isbn_softcover978-3-540-93904-7
isbn_ebook978-3-540-93905-4Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer-Verlag Berlin Heidelberg 2009
The information of publication is updating

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Fusion of External Context and Patterns – Learning from Video Streamsnvestigated. Then, its empirical version is discussed and a learning algorithm for an orthogonal neural net is proposed, which takes context variables into account. The proposed algorithm has a recursive form, which is well suited for learning from a stream of patterns, which arise when features are extracted from a video sequence.
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978-3-540-93904-7Springer-Verlag Berlin Heidelberg 2009
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The AIIB versus the World Bank and the ADB,ision data. Vertical edges extracted from images enable to estimate the length of partially observed line segments. Salient visual features are represented as the SIFT descriptors. These photometric features augment the 2D line segments extracted from the laser data and form a new feature type.
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https://doi.org/10.1057/9781137593870ition has the advantages of grid partition and clustering. It avoids the curse of dimensionality and reduces the occurrence of areas with low membership to all regions. The paper depicts the iterative hybrid procedure of hierarchical split. The splitting procedure estimates the best way of creating
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