Document Processing Using Machine Learning

Inbunden, Engelska, 2019

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Beskrivning

Document Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text.In brief, the book offers comprehensive coverage of the most essential topics, including:· The role of AI for document image analysis· Optical character recognition· Machine learning algorithms for document analysis· Extreme learning machines and their applications· Mathematical foundation for Web text document analysis· Social media data analysis· Modalities for document dataset generationThis book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.

Produktinformation

Utgivningsdatum:2019-12-02
Mått:156 x 234 x 10 mm
Vikt:500 g
Format:Inbunden
Språk:Engelska
Antal sidor:168
Förlag:Taylor & Francis Ltd
ISBN:9780367218478

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Mer om författaren

Sk Md Obaidullah, KC Santosh, Teresa Goncalves, Nibaran Das, Kaushik Roy

Innehållsförteckning

PrefaceEditorsContributors1. Artificial Intelligence for Document Image AnalysisHimadri Mukherjee, Payel Rakshit, Ankita Dhar, Sk Md Obaidullah, KC Santosh, Santanu Phadikar and Kaushik Roy2. An Approach toward Character Recognition of Bangla Handwritten Isolated CharactersPayel Rakshit, Chayan Halder and Kaushik Roy3. Artistic Multi-Character Script IdentificationMridul Ghosh, Himadri Mukherjee, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy4. A Study on the Extreme Learning Machine and Its ApplicationsHimadri Mukherjee, Sahana Das, Subhashmita Ghosh, Sk Md Obaidullah, KC Santosh, Nibaran Das and Kaushik Roy5. A Graph-Based Text Classification Model for Web Text DocumentsAnkita Dhar, Niladri Sekhar Dash and Kaushik Roy6. A Study of Distance Metrics in Document ClassificationAnkita Dhar, Niladri Sekhar Dash and Kaushik Roy7. A Study of Proximity of Domains for Text CategorizationAnkita Dhar, Niladri Sekhar Dash and Kaushik Roy8. Supervised Learning for Aggression Identification and Author Profiling over Twitter DatasetKashyap Raiyani and Roy Bayot9. The Effect of Using Features Computed from Generated Offline Images for Online Bangla Handwritten Character RecognitionShibaprasad Sen, Ankan Bhattacharyya and Kaushik Roy 10. Handwritten Character Recognition for Palm-Leaf ManuscriptsPapangkorn Inkeaw, Jeerayut Chaijaruwanich and Jakramate BootkrajangIndex