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Titlebook: Machine Learning for Computer Vision; Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Book 2013 Springer-Verlag Berlin Heidelberg 2013

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發(fā)表于 2025-3-21 19:42:14 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書(shū)目名稱Machine Learning for Computer Vision
編輯Roberto Cipolla,Sebastiano Battiato,Giovanni Maria
視頻videohttp://file.papertrans.cn/621/620591/620591.mp4
概述Recent research on Computer Vision and Machine Learning for Image and Video Analysis.Edited outcome of the two International Computer Vision Summer Schools ICVSS taking place in 2009 and 2010.Written
叢書(shū)名稱Studies in Computational Intelligence
圖書(shū)封面Titlebook: Machine Learning for Computer Vision;  Roberto Cipolla,Sebastiano Battiato,Giovanni Maria Book 2013 Springer-Verlag Berlin Heidelberg 2013
描述.Computer vision is the science and technology of making machines that see. It is concerned with the theory, design and implementation of algorithms that can automatically process visual data to recognize objects, track and recover their shape and spatial layout. The International Computer Vision Summer School - ICVSS was established in 2007 to provide both an objective and clear overview and an in-depth analysis of the state-of-the-art research in Computer Vision. The courses are delivered by world renowned experts in the field, from both academia and industry, and cover both theoretical and practical aspects of real Computer Vision problems. The school is organized every year by University of Cambridge (Computer Vision and Robotics Group) and University of Catania (Image Processing Lab). Different topics are covered each year. A summary of the past Computer Vision Summer Schools can be found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature..
出版日期Book 2013
關(guān)鍵詞Computational Intelligence; Computer Vision; Image Analyis; Machine Learning; Video Analysis
版次1
doihttps://doi.org/10.1007/978-3-642-28661-2
isbn_softcover978-3-642-44686-3
isbn_ebook978-3-642-28661-2Series ISSN 1860-949X Series E-ISSN 1860-9503
issn_series 1860-949X
copyrightSpringer-Verlag Berlin Heidelberg 2013
The information of publication is updating

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Bayesian Painting by Numbers: Flexible Priors for Colour-Invariant Object Recognition,f stels for different object types, as appropriate. Results on Caltech101 images show that this method is capable of automatically selecting a number of stels that reflects the complexity of the object class and that these stels are useful for object recognition.
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Book 2013 found at: http://www.dmi.unict.it/icvss This edited volume contains a selection of articles covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature..
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1860-949X es covering some of the talks and tutorials held during the last editions of the school. The chapters provide an in-depth overview of challenging areas with key references to the existing literature..978-3-642-44686-3978-3-642-28661-2Series ISSN 1860-949X Series E-ISSN 1860-9503
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Throwing Down the Visual Intelligence Gauntlet,the . approach of studying and reverse-engineering the networks of neurons in the human brain (specifically, the visual system). Finally, we discuss several possible future directions in the quest for visual intelligence.
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