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|a Tsirikoglou, Apostolia.
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|a Synthetic data for visual machine learning :
|b A data-centric approach.
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|a 1st ed.
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|a Linköping :
|b Linköping University Electronic Press,
|c 2022.
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|c {copy}2022.
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|a 1 online resource (144 pages)
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|a text
|b txt
|2 rdacontent
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|a computer
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|2 rdamedia
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|a online resource
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|a Intro -- Abstract -- Populärvetenskaplig Sammanfattning -- Acknowledgments -- List of Publications -- Contributions -- Contents -- 1 Introduction -- 1.1 Visual data -- 1.2 Image synthesis -- 1.2.1 Computer graphics -- 1.2.2 Generative image modeling -- 1.3 Deep learning -- 1.3.1 Training data -- 1.4 Objectives -- 1.5 Outline -- 2 Background -- 2.1 Deep learning -- 2.1.1 Neural networks -- 2.1.2 Basic concepts -- 2.1.3 Applications -- 2.2 Computer vision -- 2.3 Digital pathology -- 3 Computer graphics -- 3.1 Modeling -- 3.1.1 Basics -- 3.1.2 Common practices -- 3.1.3 Procedural modeling -- 3.2 Rendering -- 3.2.1 Light transport theory -- 3.2.2 Light transport simulation -- 4 Generative modeling -- 4.1 Fundamentals -- 4.2 Deep generative models -- 4.3 Generative adversarial networks -- 4.3.1 Challenges -- 4.3.2 Common variants -- 5 Synthetic data for deep learning -- 5.1 Data-centric AI -- 5.1.1 Common practices -- 5.2 Data collection -- 5.2.1 Discussion -- 5.3 Data generation -- 5.3.1 Computer graphics -- 5.3.2 Generative adversarial networks -- 5.3.3 Contributions -- 5.3.4 Discussion -- 5.4 Data augmentation -- 5.4.1 Image manipulations -- 5.4.2 Deep learning approaches -- 5.4.3 Contributions -- 5.4.4 Discussion -- 6 Conclusion -- 6.1 Contributions -- 6.1.1 Data generation -- 6.1.2 Data augmentation -- 6.2 Discussion -- 7 Outlook -- Bibliography -- Papers.
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|a Description based on publisher supplied metadata and other sources.
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|a Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries.
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|a Electronic books.
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|i Print version:
|a Tsirikoglou, Apostolia
|t Synthetic data for visual machine learning
|d Linköping : Linköping University Electronic Press,c2022
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| 797 |
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|a ProQuest (Firm)
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|u https://ebookcentral.proquest.com/lib/matrademy/detail.action?docID=6869276
|z Click to View
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