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Frontiers in pattern recognition and...
~
(1998 :)
Frontiers in pattern recognition and artificial intelligence
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Frontiers in pattern recognition and artificial intelligenceedited by Marleah Blom, Nicola Nobile, Ching Y. Suen.
其他作者:
Blom, Marleah.
團體作者:
出版者:
Singapore :World Scientific Publishing Co. Pte. Ltd.,c2019.
面頁冊數:
1 online resource :ill.
標題:
Pattern perceptionCongresses.
電子資源:
https://www.worldscientific.com/worldscibooks/10.1142/11362#t=toc
ISBN:
9789811203527$q(electronic bk.)
Frontiers in pattern recognition and artificial intelligence
Frontiers in pattern recognition and artificial intelligence
[electronic resource] /edited by Marleah Blom, Nicola Nobile, Ching Y. Suen. - 1st ed. - Singapore :World Scientific Publishing Co. Pte. Ltd.,c2019. - 1 online resource :ill. - Series on language processing, pattern recognition, and intelligent systems ;vol. 5. - Series on language processing, pattern recognition, and intelligent systems ;v. 2..
Includes bibliographical references and index.
Intro ; Contents ; Preface ; List of Contributors ; Chapter 1 : Artificial Intelligence : An Overview ; 1. Smart Devices ; 2. Defining AI ; 3. The Early History of AI ; 4. AI Landmarks ; 4.1. Formal Reasoning ; 4.2. Natural Language Processing ; 4.3. Robotics ; 4.4. Game Playing ; 5. AI Technologies ; 5.1. Symbolic AI ; 5.2. Bayesian Networks ; 5.3. Evolutionary Algorithms ; 5.4. Deep Learning ; 6. The Future : Artificial General Intelligence? ; References ; Chapter 2 : Diverse Perspectives on the Relationship between Artificial Intelligence and Pattern Recognition ; 1. The Perspective of Björn Barz.
ISBN: 9789811203527$q(electronic bk.)Subjects--Topical Terms:
387175
Pattern perception
--Congresses.
LC Class. No.: TK7882.P3
Dewey Class. No.: 006.4
Frontiers in pattern recognition and artificial intelligence
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Intro ; Contents ; Preface ; List of Contributors ; Chapter 1 : Artificial Intelligence : An Overview ; 1. Smart Devices ; 2. Defining AI ; 3. The Early History of AI ; 4. AI Landmarks ; 4.1. Formal Reasoning ; 4.2. Natural Language Processing ; 4.3. Robotics ; 4.4. Game Playing ; 5. AI Technologies ; 5.1. Symbolic AI ; 5.2. Bayesian Networks ; 5.3. Evolutionary Algorithms ; 5.4. Deep Learning ; 6. The Future : Artificial General Intelligence? ; References ; Chapter 2 : Diverse Perspectives on the Relationship between Artificial Intelligence and Pattern Recognition ; 1. The Perspective of Björn Barz.
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2. The Perspective of Prerana Mukherjee and Brejesh Lall2.1. Towards understanding AI and PR concepts ; 2.2. Case scenarios and applications ; 2.3. Conclusion ; 3. The Perspective of Elham Vahdati ; References ; Chapter 3 : Natural Language Processing : An Overview ; 1. Introduction ; 1.1. Natural versus Artificial Languages ; 1.2. Natural Language Understanding versus Generation ; 1.3. Components of Natural Language Processing Systems ; 2. Applications ; 2.1. Low-Level Applications ; 2.2. High-Level Applications ; 3. NLP Techniques ; 3.1. Symbolic NLP ; 3.2. Statistical NLP ; 3.3. Deep Learning for NLP.
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3.3.1. Language Models3.3.2. Language Representation ; 3.3.3. Model Architectures ; 3.3.4. Successful Applications ; 4. Conclusion ; References ; Chapter 4 : Handwriting Recognition Systems and Applications ; 1. Introduction ; 2. Online and Offline Handwriting Recognition ; 3. Handwriting Recognition Challenges ; 3.1. Chinese Handwriting Recognition ; 3.2. Arabic Handwriting Recognition ; 4. Handwriting Recognition Process ; 4.1. Feature Extraction ; 4.2. Classification ; 5. Handwriting Recognition Applications ; 5.1. Handwritten Character Recognition ; 5.2. Handwritten Text Recognition.
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5.3. Signature Verification5.4. Handwritten Word Spotting ; 5.4.1. Definition ; 5.4.2. Input Queries ; 5.4.3. Word Spotting Approaches ; 6. Conclusion ; References ; Chapter 5 : A New Roadmap for Evaluating Descriptive Handwritten Answer Script ; 1. Introduction ; 2. Related Work ; 3. Proposed Roadmap ; 3.1. Preprocessing for Cleaning Documents and Removing Struck out Text ; 3.2. Text Line and Word Segmentation ; 3.3. Degree of Relevancy for Word Spotting ; 3.4. Degree of Relevancy at the Text Line Level for Final Grading ; 4. Experimental Analysis ; 5. Conclusions and Future Work ; Acknowledgments.
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https://www.worldscientific.com/worldscibooks/10.1142/11362#t=toc
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