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Titlebook: Image Processing & Communications Challenges 2; Ryszard S. Choraś Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Augme

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发表于 2025-3-21 18:55:11 | 显示全部楼层 |阅读模式
书目名称Image Processing & Communications Challenges 2
编辑Ryszard S. Choraś
视频videohttp://file.papertrans.cn/462/461438/461438.mp4
概述Presents latest research in image processing and communication.Outcome of the 2nd international Conference on Image Processing and Communication challenges taking place September 9-11, 2010 in Bydogsz
丛书名称Advances in Intelligent and Soft Computing
图书封面Titlebook: Image Processing & Communications Challenges 2; Ryszard S. Choraś Conference proceedings 2010 Springer-Verlag Berlin Heidelberg 2010 Augme
描述Image Processing and Communications represents an exciting and dynamic part of the information area.This book consists of 52 scientific and technical papers from 14 Nations, after a careful selection performed by many international reviewers. The papers are conveniently grouped into 6 chapters:- Computer Vision and Image Processing- Biometric- Recognition and Classification- Biomedical Image Processing- Applications- Communications.Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.
出版日期Conference proceedings 2010
关键词Augmented Reality; Communication Services; Computational Intelligence; FON; Fuzzy; IEEE 80; Image Processi
版次1
doihttps://doi.org/10.1007/978-3-642-16295-4
isbn_softcover978-3-642-16294-7
isbn_ebook978-3-642-16295-4Series ISSN 1867-5662 Series E-ISSN 1867-5670
issn_series 1867-5662
copyrightSpringer-Verlag Berlin Heidelberg 2010
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VICAL: Visual Cognitive Architecture for Concepts Learning to Understanding Semantic Image Contentasks, we strongly emphasize on a novel evolutionary pyramidal learning. Indeed, this elaborated learning approach based on association rules enables to learn highest concepts induced from concepts of lower level in order to progressively understand the highest semantic content of an input image.
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1867-5662 mage Processing- Applications- Communications.Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.978-3-642-16294-7978-3-642-16295-4Series ISSN 1867-5662 Series E-ISSN 1867-5670
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Feature Type and Size Selection for AdaBoost Face Detection AlgorithmAdditional parameter that limits the area on which the features are calculated is also introduced. The experiments carried out on the set of MIT 19×19 face and non-face examples showed the usefulness of particular types of features and their influence on generalization.
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Conference proceedings 2010puter Vision and Image Processing- Biometric- Recognition and Classification- Biomedical Image Processing- Applications- Communications.Each chapter focuses on a specific topic, presents results, and points out challenges and future directions.
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