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Social Media Modeling and Computing

Overview of attention for book
Cover of 'Social Media Modeling and Computing'

Table of Contents

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    Book Overview
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    Chapter 1 Quantifying Visual-Representativeness of Social Image Tags Using Image Tag Clarity
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    Chapter 2 Tag-Based Social Image Search: Toward Relevant and Diverse Results
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    Chapter 3 Social Image Tag Ranking by Two-View Learning
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    Chapter 4 Combining Multi-modal Features for Social Media Analysis
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    Chapter 5 Multi-label Image Annotation by Structural Grouping Sparsity
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    Chapter 6 Mechanism Design for Incentivizing Social Media Contributions
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    Chapter 7 Efficient Access Control in Multimedia Social Networks
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    Chapter 8 Call Me Guru: User Categories and Large-Scale Behavior in YouTube
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    Chapter 9 Social Media Visual Analytics for Events
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    Chapter 10 Using Rich Social Media Information for Music Recommendation via Hypergraph Model
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    Chapter 11 Using Geotags to Derive Rich Tag-Clouds for Image Annotation
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    Chapter 12 Social Aspects of Photobooks: Improving Photobook Authoring from Large-Scale Multimedia Analysis
Attention for Chapter 5: Multi-label Image Annotation by Structural Grouping Sparsity
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Citations

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Summary Dimensions citations
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Chapter title
Multi-label Image Annotation by Structural Grouping Sparsity
Chapter number 5
Book title
Social Media Modeling and Computing
Published in
ADS, January 2011
DOI 10.1007/978-0-85729-436-4_5
Book ISBNs
978-0-85729-435-7, 978-0-85729-436-4
Authors

Yahong Han, Fei Wu, Yueting Zhuang

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 2 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 2 100%

Demographic breakdown

Readers by professional status Count As %
Other 1 50%
Unknown 1 50%
Readers by discipline Count As %
Engineering 1 50%
Unknown 1 50%

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