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You searched for subject:(Text detection). Showing records 1 – 30 of 129 total matches.

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Penn State University

1. Yang, Xiao. Robust Text Spotting in Natural Images with Deep Neural Networks.

Degree: 2019, Penn State University

 The rich semantic information carried by the text in natural images can be utilized for many applications, such as navigation, traffic sign reading for autonomous… (more)

Subjects/Keywords: Text Spotting; Text Recognition; Deep Learning; Computer Vision; Text Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Yang, X. (2019). Robust Text Spotting in Natural Images with Deep Neural Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16817xuy111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Yang, Xiao. “Robust Text Spotting in Natural Images with Deep Neural Networks.” 2019. Thesis, Penn State University. Accessed April 23, 2021. https://submit-etda.libraries.psu.edu/catalog/16817xuy111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Yang, Xiao. “Robust Text Spotting in Natural Images with Deep Neural Networks.” 2019. Web. 23 Apr 2021.

Vancouver:

Yang X. Robust Text Spotting in Natural Images with Deep Neural Networks. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/16817xuy111.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Yang X. Robust Text Spotting in Natural Images with Deep Neural Networks. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16817xuy111

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Florida

2. Zhang, Jing. Extraction of Text Objects in Image and Video Documents.

Degree: 2012, University of South Florida

 The popularity of digital image and video is increasing rapidly. To help users navigate libraries of image and video, Content Based Information Retrieval (CBIR) system… (more)

Subjects/Keywords: Character Feature; Text Detection; Text Event Model; Text Localization; Text Model; Text Tracking; American Studies; Arts and Humanities; Computer Sciences

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APA (6th Edition):

Zhang, J. (2012). Extraction of Text Objects in Image and Video Documents. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/4266

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Zhang, Jing. “Extraction of Text Objects in Image and Video Documents.” 2012. Thesis, University of South Florida. Accessed April 23, 2021. https://scholarcommons.usf.edu/etd/4266.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Zhang, Jing. “Extraction of Text Objects in Image and Video Documents.” 2012. Web. 23 Apr 2021.

Vancouver:

Zhang J. Extraction of Text Objects in Image and Video Documents. [Internet] [Thesis]. University of South Florida; 2012. [cited 2021 Apr 23]. Available from: https://scholarcommons.usf.edu/etd/4266.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Zhang J. Extraction of Text Objects in Image and Video Documents. [Thesis]. University of South Florida; 2012. Available from: https://scholarcommons.usf.edu/etd/4266

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Georgia Tech

3. Musaev, Aibek. Landslide information service based on composition of physical and social information services.

Degree: PhD, Computer Science, 2016, Georgia Tech

 Modern world data come from an increasing number of sources, including data from physical sources like satellites and seismic sensors as well as social networks… (more)

Subjects/Keywords: Social networks; Event detection; Text classification

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APA (6th Edition):

Musaev, A. (2016). Landslide information service based on composition of physical and social information services. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/55572

Chicago Manual of Style (16th Edition):

Musaev, Aibek. “Landslide information service based on composition of physical and social information services.” 2016. Doctoral Dissertation, Georgia Tech. Accessed April 23, 2021. http://hdl.handle.net/1853/55572.

MLA Handbook (7th Edition):

Musaev, Aibek. “Landslide information service based on composition of physical and social information services.” 2016. Web. 23 Apr 2021.

Vancouver:

Musaev A. Landslide information service based on composition of physical and social information services. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/1853/55572.

Council of Science Editors:

Musaev A. Landslide information service based on composition of physical and social information services. [Doctoral Dissertation]. Georgia Tech; 2016. Available from: http://hdl.handle.net/1853/55572

4. Ibrahim, Ahmed Sobhy Elnady. End-To-End Text Detection Using Deep Learning.

Degree: PhD, Computer Engineering, 2017, Virginia Tech

Text detection in the wild is the problem of locating text in images of everyday scenes. It is a challenging problem due to the complexity… (more)

Subjects/Keywords: Deep Learning; Computer Vision; Text Detection

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APA (6th Edition):

Ibrahim, A. S. E. (2017). End-To-End Text Detection Using Deep Learning. (Doctoral Dissertation). Virginia Tech. Retrieved from http://hdl.handle.net/10919/81277

Chicago Manual of Style (16th Edition):

Ibrahim, Ahmed Sobhy Elnady. “End-To-End Text Detection Using Deep Learning.” 2017. Doctoral Dissertation, Virginia Tech. Accessed April 23, 2021. http://hdl.handle.net/10919/81277.

MLA Handbook (7th Edition):

Ibrahim, Ahmed Sobhy Elnady. “End-To-End Text Detection Using Deep Learning.” 2017. Web. 23 Apr 2021.

Vancouver:

Ibrahim ASE. End-To-End Text Detection Using Deep Learning. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10919/81277.

Council of Science Editors:

Ibrahim ASE. End-To-End Text Detection Using Deep Learning. [Doctoral Dissertation]. Virginia Tech; 2017. Available from: http://hdl.handle.net/10919/81277


Loughborough University

5. Mahmood, Hanaa. Text detection and recognition from natural images.

Degree: PhD, 2020, Loughborough University

Text detection and recognition from images could have numerous functional applications for document analysis, such as assistance for visually impaired people; recognition of vehicle license… (more)

Subjects/Keywords: Text detection; Text orientation; Text size; connected component analysis; Gaussian scale space

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Mahmood, H. (2020). Text detection and recognition from natural images. (Doctoral Dissertation). Loughborough University. Retrieved from https://doi.org/10.26174/thesis.lboro.11816487.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799214

Chicago Manual of Style (16th Edition):

Mahmood, Hanaa. “Text detection and recognition from natural images.” 2020. Doctoral Dissertation, Loughborough University. Accessed April 23, 2021. https://doi.org/10.26174/thesis.lboro.11816487.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799214.

MLA Handbook (7th Edition):

Mahmood, Hanaa. “Text detection and recognition from natural images.” 2020. Web. 23 Apr 2021.

Vancouver:

Mahmood H. Text detection and recognition from natural images. [Internet] [Doctoral dissertation]. Loughborough University; 2020. [cited 2021 Apr 23]. Available from: https://doi.org/10.26174/thesis.lboro.11816487.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799214.

Council of Science Editors:

Mahmood H. Text detection and recognition from natural images. [Doctoral Dissertation]. Loughborough University; 2020. Available from: https://doi.org/10.26174/thesis.lboro.11816487.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.799214


Linköping University

6. Olsson, Oskar. Automated system tests with image recognition : focused on text detection and recognition.

Degree: Computer and Information Science, 2019, Linköping University

  Today’s airplanes and modern cars are equipped with displays to communicate important information to the pilot or driver. These displays needs to be tested… (more)

Subjects/Keywords: Opencv; Tesseract; text detection; text recognition; validation; displays; Computer Engineering; Datorteknik

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APA (6th Edition):

Olsson, O. (2019). Automated system tests with image recognition : focused on text detection and recognition. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160249

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Olsson, Oskar. “Automated system tests with image recognition : focused on text detection and recognition.” 2019. Thesis, Linköping University. Accessed April 23, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160249.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Olsson, Oskar. “Automated system tests with image recognition : focused on text detection and recognition.” 2019. Web. 23 Apr 2021.

Vancouver:

Olsson O. Automated system tests with image recognition : focused on text detection and recognition. [Internet] [Thesis]. Linköping University; 2019. [cited 2021 Apr 23]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160249.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Olsson O. Automated system tests with image recognition : focused on text detection and recognition. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-160249

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Houston

7. -4435-6546. Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media.

Degree: PhD, Computer Science, 2020, University of Houston

 Although social media has made it easy for people to connect on an unlimited virtual space, it has also opened doors to people who misuse… (more)

Subjects/Keywords: Natural Language Processing; Abusive Language Detection; Cyberbullying Detection; Early Text Categorization

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APA (6th Edition):

-4435-6546. (2020). Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/6728

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Chicago Manual of Style (16th Edition):

-4435-6546. “Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media.” 2020. Doctoral Dissertation, University of Houston. Accessed April 23, 2021. http://hdl.handle.net/10657/6728.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

MLA Handbook (7th Edition):

-4435-6546. “Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media.” 2020. Web. 23 Apr 2021.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Vancouver:

-4435-6546. Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media. [Internet] [Doctoral dissertation]. University of Houston; 2020. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10657/6728.

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

Council of Science Editors:

-4435-6546. Automatic Detection of Nastiness and Early Signs of Cyberbullying Incidents on Social Media. [Doctoral Dissertation]. University of Houston; 2020. Available from: http://hdl.handle.net/10657/6728

Note: this citation may be lacking information needed for this citation format:
Author name may be incomplete

8. PHAN QUY TRUNG. Extraction of Text from Images and Videos.

Degree: 2014, National University of Singapore

Subjects/Keywords: text localization; text detection; text enhancement; text recognition; scene text; video text

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

TRUNG, P. Q. (2014). Extraction of Text from Images and Videos. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/51971

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

TRUNG, PHAN QUY. “Extraction of Text from Images and Videos.” 2014. Thesis, National University of Singapore. Accessed April 23, 2021. http://scholarbank.nus.edu.sg/handle/10635/51971.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

TRUNG, PHAN QUY. “Extraction of Text from Images and Videos.” 2014. Web. 23 Apr 2021.

Vancouver:

TRUNG PQ. Extraction of Text from Images and Videos. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2021 Apr 23]. Available from: http://scholarbank.nus.edu.sg/handle/10635/51971.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

TRUNG PQ. Extraction of Text from Images and Videos. [Thesis]. National University of Singapore; 2014. Available from: http://scholarbank.nus.edu.sg/handle/10635/51971

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Penn State University

9. Huang, Wenyi. Context Modeling for Semantic Text Matching and Scene Text Detection.

Degree: 2016, Penn State University

 Context is the information that surrounds and defines the target information it encapsulates. Without context, the most related target information could be misinterpreted. Most existing… (more)

Subjects/Keywords: Citation Recommendation; Scene Text Detection; Deep Learning; Neural Networks; Context Modeling; Text in the Wild

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Huang, W. (2016). Context Modeling for Semantic Text Matching and Scene Text Detection. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/zw12z528p

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Huang, Wenyi. “Context Modeling for Semantic Text Matching and Scene Text Detection.” 2016. Thesis, Penn State University. Accessed April 23, 2021. https://submit-etda.libraries.psu.edu/catalog/zw12z528p.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Huang, Wenyi. “Context Modeling for Semantic Text Matching and Scene Text Detection.” 2016. Web. 23 Apr 2021.

Vancouver:

Huang W. Context Modeling for Semantic Text Matching and Scene Text Detection. [Internet] [Thesis]. Penn State University; 2016. [cited 2021 Apr 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/zw12z528p.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Huang W. Context Modeling for Semantic Text Matching and Scene Text Detection. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/zw12z528p

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

10. Jeleček, Jiří. Automatické zjišťování významu textu: Automatic recognition of meaning in texts.

Degree: 2019, Brno University of Technology

 As part of this work it was designed and implemented a system using data mining techniques from the text in order to detect emotions in… (more)

Subjects/Keywords: klasifikace; dolování znalostí; rozpoznávání emoce; SVM; negativní text; pozitivní text; strojové učení; classification; text mining; emotion detection; SVM; negative text; positive text; machine learning

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jeleček, J. (2019). Automatické zjišťování významu textu: Automatic recognition of meaning in texts. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/41354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Jeleček, Jiří. “Automatické zjišťování významu textu: Automatic recognition of meaning in texts.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/41354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Jeleček, Jiří. “Automatické zjišťování významu textu: Automatic recognition of meaning in texts.” 2019. Web. 23 Apr 2021.

Vancouver:

Jeleček J. Automatické zjišťování významu textu: Automatic recognition of meaning in texts. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/41354.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Jeleček J. Automatické zjišťování významu textu: Automatic recognition of meaning in texts. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/41354

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brno University of Technology

11. Mešár, Marek. Svět kolem nás jako hyperlink: Local Environment as Hyperlink.

Degree: 2019, Brno University of Technology

 Document describes selected techniques and approaches to problem of text detection, extraction and recognition on modern mobile devices. It also describes their proper presentation to… (more)

Subjects/Keywords: Android; MSER; detekce textu; rozpoznání textu; OCR; digitalizace textu; tracking; Android; MSER; text detection; text recognition; OCR; text digitalization; tracking

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APA (6th Edition):

Mešár, M. (2019). Svět kolem nás jako hyperlink: Local Environment as Hyperlink. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/53447

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Mešár, Marek. “Svět kolem nás jako hyperlink: Local Environment as Hyperlink.” 2019. Thesis, Brno University of Technology. Accessed April 23, 2021. http://hdl.handle.net/11012/53447.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Mešár, Marek. “Svět kolem nás jako hyperlink: Local Environment as Hyperlink.” 2019. Web. 23 Apr 2021.

Vancouver:

Mešár M. Svět kolem nás jako hyperlink: Local Environment as Hyperlink. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/11012/53447.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Mešár M. Svět kolem nás jako hyperlink: Local Environment as Hyperlink. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/53447

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Oxford

12. Jaderberg, Maxwell. Deep learning for text spotting.

Degree: PhD, 2015, University of Oxford

 This thesis addresses the problem of text spotting - being able to automatically detect and recognise text in natural images. Developing text spotting systems, systems… (more)

Subjects/Keywords: 004; Image understanding; Information engineering; machine learning; deep learning; neural networks; text recognition; text spotting; text detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Jaderberg, M. (2015). Deep learning for text spotting. (Doctoral Dissertation). University of Oxford. Retrieved from http://ora.ox.ac.uk/objects/uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667044

Chicago Manual of Style (16th Edition):

Jaderberg, Maxwell. “Deep learning for text spotting.” 2015. Doctoral Dissertation, University of Oxford. Accessed April 23, 2021. http://ora.ox.ac.uk/objects/uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667044.

MLA Handbook (7th Edition):

Jaderberg, Maxwell. “Deep learning for text spotting.” 2015. Web. 23 Apr 2021.

Vancouver:

Jaderberg M. Deep learning for text spotting. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2021 Apr 23]. Available from: http://ora.ox.ac.uk/objects/uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667044.

Council of Science Editors:

Jaderberg M. Deep learning for text spotting. [Doctoral Dissertation]. University of Oxford; 2015. Available from: http://ora.ox.ac.uk/objects/uuid:e893c11e-6b6b-4d11-bb25-846bcef9b13e ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.667044


Loughborough University

13. Fraz, Muhammad. Video content analysis for intelligent forensics.

Degree: PhD, 2014, Loughborough University

 The networks of surveillance cameras installed in public places and private territories continuously record video data with the aim of detecting and preventing unlawful activities.… (more)

Subjects/Keywords: 363.25; Video forensic; Human detection; Colour Constancy; Vehicle make and model recognition; Text detection; Text recognition; Fisher vector

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Fraz, M. (2014). Video content analysis for intelligent forensics. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/18065

Chicago Manual of Style (16th Edition):

Fraz, Muhammad. “Video content analysis for intelligent forensics.” 2014. Doctoral Dissertation, Loughborough University. Accessed April 23, 2021. http://hdl.handle.net/2134/18065.

MLA Handbook (7th Edition):

Fraz, Muhammad. “Video content analysis for intelligent forensics.” 2014. Web. 23 Apr 2021.

Vancouver:

Fraz M. Video content analysis for intelligent forensics. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2134/18065.

Council of Science Editors:

Fraz M. Video content analysis for intelligent forensics. [Doctoral Dissertation]. Loughborough University; 2014. Available from: http://hdl.handle.net/2134/18065


Stellenbosch University

14. Thom, Jacobus Daniel. Combining tree kernels and text embeddings for plagiarism detection.

Degree: MSc, Mathematical Sciences, 2018, Stellenbosch University

ENGLISH ABSTRACT : The internet allows for vast amounts of information to be accessed with ease. Consequently, it becomes much easier to plagiarize any of… (more)

Subjects/Keywords: Text embeddings; Plagiarism  – Detection; Tree kernels; Syntactic structures; Semantic structures

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Thom, J. D. (2018). Combining tree kernels and text embeddings for plagiarism detection. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/103550

Chicago Manual of Style (16th Edition):

Thom, Jacobus Daniel. “Combining tree kernels and text embeddings for plagiarism detection.” 2018. Masters Thesis, Stellenbosch University. Accessed April 23, 2021. http://hdl.handle.net/10019.1/103550.

MLA Handbook (7th Edition):

Thom, Jacobus Daniel. “Combining tree kernels and text embeddings for plagiarism detection.” 2018. Web. 23 Apr 2021.

Vancouver:

Thom JD. Combining tree kernels and text embeddings for plagiarism detection. [Internet] [Masters thesis]. Stellenbosch University; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10019.1/103550.

Council of Science Editors:

Thom JD. Combining tree kernels and text embeddings for plagiarism detection. [Masters Thesis]. Stellenbosch University; 2018. Available from: http://hdl.handle.net/10019.1/103550


Penn State University

15. He, Dafang. Scene Text Understanding in Natural Images With Convolutional Neural Networks.

Degree: 2019, Penn State University

Text in images contains rich semantic information. The ability to read text could be used in many different applications, ranging from autonomous driving, image or… (more)

Subjects/Keywords: Deep Learning; Convolutional Neural Networks; Scene Text; Detection

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

He, D. (2019). Scene Text Understanding in Natural Images With Convolutional Neural Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16559duh188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

He, Dafang. “Scene Text Understanding in Natural Images With Convolutional Neural Networks.” 2019. Thesis, Penn State University. Accessed April 23, 2021. https://submit-etda.libraries.psu.edu/catalog/16559duh188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

He, Dafang. “Scene Text Understanding in Natural Images With Convolutional Neural Networks.” 2019. Web. 23 Apr 2021.

Vancouver:

He D. Scene Text Understanding in Natural Images With Convolutional Neural Networks. [Internet] [Thesis]. Penn State University; 2019. [cited 2021 Apr 23]. Available from: https://submit-etda.libraries.psu.edu/catalog/16559duh188.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

He D. Scene Text Understanding in Natural Images With Convolutional Neural Networks. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16559duh188

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Stellenbosch University

16. Grond, Marco Marten. Text detection in natural images using convolutional neural networks.

Degree: MSc, Mathematical Sciences, 2017, Stellenbosch University

ENGLISH ABSTRACT : In this study we attempt to solve the problem of text detection in natural images. This requires us to identify regions in… (more)

Subjects/Keywords: Text detection; Convolutional neural networks; Computer vision; Machine learning; UCTD

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Grond, M. M. (2017). Text detection in natural images using convolutional neural networks. (Masters Thesis). Stellenbosch University. Retrieved from http://hdl.handle.net/10019.1/100999

Chicago Manual of Style (16th Edition):

Grond, Marco Marten. “Text detection in natural images using convolutional neural networks.” 2017. Masters Thesis, Stellenbosch University. Accessed April 23, 2021. http://hdl.handle.net/10019.1/100999.

MLA Handbook (7th Edition):

Grond, Marco Marten. “Text detection in natural images using convolutional neural networks.” 2017. Web. 23 Apr 2021.

Vancouver:

Grond MM. Text detection in natural images using convolutional neural networks. [Internet] [Masters thesis]. Stellenbosch University; 2017. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10019.1/100999.

Council of Science Editors:

Grond MM. Text detection in natural images using convolutional neural networks. [Masters Thesis]. Stellenbosch University; 2017. Available from: http://hdl.handle.net/10019.1/100999


University of Ottawa

17. Khiari, El Hebri. Text Detection and Recognition in the Automotive Context .

Degree: 2015, University of Ottawa

 This thesis achieved the goal of obtaining high accuracy rates (precision and recall) in a real-time system that detects and recognizes text in the automotive… (more)

Subjects/Keywords: Text detection and recognition; Automotive context; Image processing; Computer vision

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Khiari, E. H. (2015). Text Detection and Recognition in the Automotive Context . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/32458

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Khiari, El Hebri. “Text Detection and Recognition in the Automotive Context .” 2015. Thesis, University of Ottawa. Accessed April 23, 2021. http://hdl.handle.net/10393/32458.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Khiari, El Hebri. “Text Detection and Recognition in the Automotive Context .” 2015. Web. 23 Apr 2021.

Vancouver:

Khiari EH. Text Detection and Recognition in the Automotive Context . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10393/32458.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Khiari EH. Text Detection and Recognition in the Automotive Context . [Thesis]. University of Ottawa; 2015. Available from: http://hdl.handle.net/10393/32458

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Tampere University

18. RINTAMÄKI, TITTA. A longitudinal study of text entry by gazing and smiling .

Degree: 2014, Tampere University

 Face Interface is a wearable device that combines the use of voluntary gaze direction and facial activations, for pointing and selecting objects on a computer… (more)

Subjects/Keywords: text entry; eye tracking; facial activity detection; multimodality; longitudinal study

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

RINTAMÄKI, T. (2014). A longitudinal study of text entry by gazing and smiling . (Masters Thesis). Tampere University. Retrieved from https://trepo.tuni.fi/handle/10024/94984

Chicago Manual of Style (16th Edition):

RINTAMÄKI, TITTA. “A longitudinal study of text entry by gazing and smiling .” 2014. Masters Thesis, Tampere University. Accessed April 23, 2021. https://trepo.tuni.fi/handle/10024/94984.

MLA Handbook (7th Edition):

RINTAMÄKI, TITTA. “A longitudinal study of text entry by gazing and smiling .” 2014. Web. 23 Apr 2021.

Vancouver:

RINTAMÄKI T. A longitudinal study of text entry by gazing and smiling . [Internet] [Masters thesis]. Tampere University; 2014. [cited 2021 Apr 23]. Available from: https://trepo.tuni.fi/handle/10024/94984.

Council of Science Editors:

RINTAMÄKI T. A longitudinal study of text entry by gazing and smiling . [Masters Thesis]. Tampere University; 2014. Available from: https://trepo.tuni.fi/handle/10024/94984


Northeastern University

19. Ekstrand-Abueg, Matthew Paul. A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems.

Degree: PhD, Computer Science Program, 2016, Northeastern University

 Test collections are a vital part of Information Retrieval research used to train learning algorithms, evaluate system performance, and create standards for comparisons across systems.… (more)

Subjects/Keywords: information extraction; paraphrase detection; summarization; summarization evaluation; temporal summarization; text similarity

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APA (6th Edition):

Ekstrand-Abueg, M. P. (2016). A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems. (Doctoral Dissertation). Northeastern University. Retrieved from http://hdl.handle.net/2047/D20237565

Chicago Manual of Style (16th Edition):

Ekstrand-Abueg, Matthew Paul. “A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems.” 2016. Doctoral Dissertation, Northeastern University. Accessed April 23, 2021. http://hdl.handle.net/2047/D20237565.

MLA Handbook (7th Edition):

Ekstrand-Abueg, Matthew Paul. “A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems.” 2016. Web. 23 Apr 2021.

Vancouver:

Ekstrand-Abueg MP. A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems. [Internet] [Doctoral dissertation]. Northeastern University; 2016. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2047/D20237565.

Council of Science Editors:

Ekstrand-Abueg MP. A comprehensive method for automating test collection creation and evaluation for retrieval and summarization systems. [Doctoral Dissertation]. Northeastern University; 2016. Available from: http://hdl.handle.net/2047/D20237565


University of Notre Dame

20. Alexis Nicole Thompson. Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>.

Degree: Psychology, 2014, University of Notre Dame

  According to theories of event cognition, people parse information into event models, and this parsing can have meaningful influences on cognition. The current study… (more)

Subjects/Keywords: memory; event segmentation; inconsistency detection; event boundaries; anaphoric reference; narrative text

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APA (6th Edition):

Thompson, A. N. (2014). Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>. (Thesis). University of Notre Dame. Retrieved from https://curate.nd.edu/show/4q77fq9952r

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Thompson, Alexis Nicole. “Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>.” 2014. Thesis, University of Notre Dame. Accessed April 23, 2021. https://curate.nd.edu/show/4q77fq9952r.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Thompson, Alexis Nicole. “Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>.” 2014. Web. 23 Apr 2021.

Vancouver:

Thompson AN. Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>. [Internet] [Thesis]. University of Notre Dame; 2014. [cited 2021 Apr 23]. Available from: https://curate.nd.edu/show/4q77fq9952r.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Thompson AN. Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>. [Thesis]. University of Notre Dame; 2014. Available from: https://curate.nd.edu/show/4q77fq9952r

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of South Florida

21. Alshehri, Adel. A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters.

Degree: 2019, University of South Florida

 The use of social media is expanding significantly and can serve a variety of purposes. Over the last few years, users of social media have… (more)

Subjects/Keywords: Classification; Crisis; Event Detection; Ranking; Text Mining; Computer Sciences

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APA (6th Edition):

Alshehri, A. (2019). A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/7728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Alshehri, Adel. “A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters.” 2019. Thesis, University of South Florida. Accessed April 23, 2021. https://scholarcommons.usf.edu/etd/7728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Alshehri, Adel. “A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters.” 2019. Web. 23 Apr 2021.

Vancouver:

Alshehri A. A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters. [Internet] [Thesis]. University of South Florida; 2019. [cited 2021 Apr 23]. Available from: https://scholarcommons.usf.edu/etd/7728.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Alshehri A. A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters. [Thesis]. University of South Florida; 2019. Available from: https://scholarcommons.usf.edu/etd/7728

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

22. Alabbas, Waleed. Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula.

Degree: PhD, 2018, University of Bedfordshire

 In recent years, large amounts of data have been made available on microblog platforms such as Twitter, however, it is difficult to filter and extract… (more)

Subjects/Keywords: text classification; Twitter; event detection; location extraction; P304 Electronic Media studies

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APA (6th Edition):

Alabbas, W. (2018). Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula. (Doctoral Dissertation). University of Bedfordshire. Retrieved from http://hdl.handle.net/10547/623582

Chicago Manual of Style (16th Edition):

Alabbas, Waleed. “Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula.” 2018. Doctoral Dissertation, University of Bedfordshire. Accessed April 23, 2021. http://hdl.handle.net/10547/623582.

MLA Handbook (7th Edition):

Alabbas, Waleed. “Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula.” 2018. Web. 23 Apr 2021.

Vancouver:

Alabbas W. Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula. [Internet] [Doctoral dissertation]. University of Bedfordshire; 2018. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10547/623582.

Council of Science Editors:

Alabbas W. Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula. [Doctoral Dissertation]. University of Bedfordshire; 2018. Available from: http://hdl.handle.net/10547/623582


Lehigh University

23. Kuang, Sicong. Improving Semantic Representation in Bias Detection.

Degree: PhD, Computer Engineering, 2020, Lehigh University

With the prevalence of online information resources, a massive amount of text has been produced. The unprecedented amount of information makes human processing, whether editing or verifying, unrealistic. The research goal in this thesis is to develop mode Advisors/Committee Members: Brian D. Davison.

Subjects/Keywords: bias detection; text representation; word embedding; Computer Engineering

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APA (6th Edition):

Kuang, S. (2020). Improving Semantic Representation in Bias Detection. (Doctoral Dissertation). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/5771

Chicago Manual of Style (16th Edition):

Kuang, Sicong. “Improving Semantic Representation in Bias Detection.” 2020. Doctoral Dissertation, Lehigh University. Accessed April 23, 2021. https://preserve.lehigh.edu/etd/5771.

MLA Handbook (7th Edition):

Kuang, Sicong. “Improving Semantic Representation in Bias Detection.” 2020. Web. 23 Apr 2021.

Vancouver:

Kuang S. Improving Semantic Representation in Bias Detection. [Internet] [Doctoral dissertation]. Lehigh University; 2020. [cited 2021 Apr 23]. Available from: https://preserve.lehigh.edu/etd/5771.

Council of Science Editors:

Kuang S. Improving Semantic Representation in Bias Detection. [Doctoral Dissertation]. Lehigh University; 2020. Available from: https://preserve.lehigh.edu/etd/5771


University of Cincinnati

24. Vanarase, Aashay K. CLAN: Communities in Lexical Associative Networks.

Degree: MS, Engineering and Applied Science: Electrical Engineering, 2015, University of Cincinnati

Text processing is an integral aspect of information retrieval in today's world. Various features of textual data are being analyzed to obtain insight into the… (more)

Subjects/Keywords: Electrical Engineering; Topic Detection; Text Segment; Complex Networks

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APA (6th Edition):

Vanarase, A. K. (2015). CLAN: Communities in Lexical Associative Networks. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070263

Chicago Manual of Style (16th Edition):

Vanarase, Aashay K. “CLAN: Communities in Lexical Associative Networks.” 2015. Masters Thesis, University of Cincinnati. Accessed April 23, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070263.

MLA Handbook (7th Edition):

Vanarase, Aashay K. “CLAN: Communities in Lexical Associative Networks.” 2015. Web. 23 Apr 2021.

Vancouver:

Vanarase AK. CLAN: Communities in Lexical Associative Networks. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2021 Apr 23]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070263.

Council of Science Editors:

Vanarase AK. CLAN: Communities in Lexical Associative Networks. [Masters Thesis]. University of Cincinnati; 2015. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070263


Queensland University of Technology

25. Lau, Cher Han. Detecting news topics from microblogs using sequential pattern mining.

Degree: 2014, Queensland University of Technology

 This thesis presents a sequential pattern based model (PMM) to detect news topics from a popular microblogging platform, Twitter. PMM captures key topics and measures… (more)

Subjects/Keywords: microblog; sequential pattern mining; news topic detection; topic detection; news detection; Twitter; text mining; information retrieval

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APA (6th Edition):

Lau, C. H. (2014). Detecting news topics from microblogs using sequential pattern mining. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/68159/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Lau, Cher Han. “Detecting news topics from microblogs using sequential pattern mining.” 2014. Thesis, Queensland University of Technology. Accessed April 23, 2021. https://eprints.qut.edu.au/68159/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Lau, Cher Han. “Detecting news topics from microblogs using sequential pattern mining.” 2014. Web. 23 Apr 2021.

Vancouver:

Lau CH. Detecting news topics from microblogs using sequential pattern mining. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2021 Apr 23]. Available from: https://eprints.qut.edu.au/68159/.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Lau CH. Detecting news topics from microblogs using sequential pattern mining. [Thesis]. Queensland University of Technology; 2014. Available from: https://eprints.qut.edu.au/68159/

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Brigham Young University

26. Wigington, Curtis Michael. End-to-End Full-Page Handwriting Recognition.

Degree: MS, 2018, Brigham Young University

 Despite decades of research, offline handwriting recognition (HWR) of historical documents remains a challenging problem, which if solved could greatly improve the searchability of online… (more)

Subjects/Keywords: Handwriting Recognition; Document Analysis; Historical Document Processing; Text Detection; Text Line Segmentation; Data Augmentation.; Physical Sciences and Mathematics

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APA (6th Edition):

Wigington, C. M. (2018). End-to-End Full-Page Handwriting Recognition. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8099&context=etd

Chicago Manual of Style (16th Edition):

Wigington, Curtis Michael. “End-to-End Full-Page Handwriting Recognition.” 2018. Masters Thesis, Brigham Young University. Accessed April 23, 2021. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8099&context=etd.

MLA Handbook (7th Edition):

Wigington, Curtis Michael. “End-to-End Full-Page Handwriting Recognition.” 2018. Web. 23 Apr 2021.

Vancouver:

Wigington CM. End-to-End Full-Page Handwriting Recognition. [Internet] [Masters thesis]. Brigham Young University; 2018. [cited 2021 Apr 23]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8099&context=etd.

Council of Science Editors:

Wigington CM. End-to-End Full-Page Handwriting Recognition. [Masters Thesis]. Brigham Young University; 2018. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=8099&context=etd

27. Ανθιμόπουλος, Μάριος. Ανίχνευση κειμένου σε εικόνες και βίντεο.

Degree: 2011, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ)

The goal of a multimedia text extraction and recognition system is filling the gap between the already existing and mature technology of Optical Character Recognition… (more)

Subjects/Keywords: Εντοπισμός κειμένου; Εξαγωγή χαρακτήρων; Μέθοδοι αποτίμησης; Ανίχνευση κειμένου; Κατάτμηση εικόνων; Text detection; Evaluation methods; Character extraction; Image segmentation; Text localization

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APA (6th Edition):

Ανθιμόπουλος, . . (2011). Ανίχνευση κειμένου σε εικόνες και βίντεο. (Thesis). National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Retrieved from http://hdl.handle.net/10442/hedi/26270

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Ανθιμόπουλος, Μάριος. “Ανίχνευση κειμένου σε εικόνες και βίντεο.” 2011. Thesis, National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ). Accessed April 23, 2021. http://hdl.handle.net/10442/hedi/26270.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Ανθιμόπουλος, Μάριος. “Ανίχνευση κειμένου σε εικόνες και βίντεο.” 2011. Web. 23 Apr 2021.

Vancouver:

Ανθιμόπουλος . Ανίχνευση κειμένου σε εικόνες και βίντεο. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2011. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/10442/hedi/26270.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Ανθιμόπουλος . Ανίχνευση κειμένου σε εικόνες και βίντεο. [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2011. Available from: http://hdl.handle.net/10442/hedi/26270

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


Universidade Estadual de Campinas

28. Minetto, Rodrigo, 1983-. Reconhecimento de texto e rastreamento de objetos 2D/3D.

Degree: Instituto de Computação; Programa de Pós-Graduação em Ciência da Computação, 2012, Universidade Estadual de Campinas

Orientadores: Jorge Stolfi, Neucimar Jerônimo Leite

Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação

Made available in DSpace on 2018-08-20T03:12:07Z (GMT). No. of… (more)

Subjects/Keywords: Reconhecimento de texto; Detecção de texto; Descritor de imagem; Rastreamento de texto; Rastreamento tridimensional; Text recognition; Text detection; Image descriptor; Text tracking; Three-dimensional tracking

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Minetto, Rodrigo, 1. (2012). Reconhecimento de texto e rastreamento de objetos 2D/3D. (Doctoral Dissertation). Universidade Estadual de Campinas. Retrieved from MINETTO, Rodrigo. Reconhecimento de texto e rastreamento de objetos 2D/3D. 2012. 155 p. Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação, Campinas, SP. Disponível em: <http://www.repositorio.unicamp.br/handle/REPOSIP/275708>. Acesso em: 20 ago. 2018. ; http://repositorio.unicamp.br/jspui/handle/REPOSIP/275708

Chicago Manual of Style (16th Edition):

Minetto, Rodrigo, 1983-. “Reconhecimento de texto e rastreamento de objetos 2D/3D.” 2012. Doctoral Dissertation, Universidade Estadual de Campinas. Accessed April 23, 2021. MINETTO, Rodrigo. Reconhecimento de texto e rastreamento de objetos 2D/3D. 2012. 155 p. Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação, Campinas, SP. Disponível em: <http://www.repositorio.unicamp.br/handle/REPOSIP/275708>. Acesso em: 20 ago. 2018. ; http://repositorio.unicamp.br/jspui/handle/REPOSIP/275708.

MLA Handbook (7th Edition):

Minetto, Rodrigo, 1983-. “Reconhecimento de texto e rastreamento de objetos 2D/3D.” 2012. Web. 23 Apr 2021.

Vancouver:

Minetto, Rodrigo 1. Reconhecimento de texto e rastreamento de objetos 2D/3D. [Internet] [Doctoral dissertation]. Universidade Estadual de Campinas; 2012. [cited 2021 Apr 23]. Available from: MINETTO, Rodrigo. Reconhecimento de texto e rastreamento de objetos 2D/3D. 2012. 155 p. Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação, Campinas, SP. Disponível em: <http://www.repositorio.unicamp.br/handle/REPOSIP/275708>. Acesso em: 20 ago. 2018. ; http://repositorio.unicamp.br/jspui/handle/REPOSIP/275708.

Council of Science Editors:

Minetto, Rodrigo 1. Reconhecimento de texto e rastreamento de objetos 2D/3D. [Doctoral Dissertation]. Universidade Estadual de Campinas; 2012. Available from: MINETTO, Rodrigo. Reconhecimento de texto e rastreamento de objetos 2D/3D. 2012. 155 p. Tese (doutorado) - Universidade Estadual de Campinas, Instituto de Computação, Campinas, SP. Disponível em: <http://www.repositorio.unicamp.br/handle/REPOSIP/275708>. Acesso em: 20 ago. 2018. ; http://repositorio.unicamp.br/jspui/handle/REPOSIP/275708

29. Shanmuga Vadivel, Karthikeyan. Modeling Eye Tracking Data with Application to Object Detection.

Degree: 2014, University of California – eScholarship, University of California

 This research focuses on enhancing computer vision algorithms using eye tracking and visual saliency. Recent advances in eye tracking device technology have enabled large scale… (more)

Subjects/Keywords: Engineering; Electrical engineering; Computer science; Eye Tracking; Multiple Object Tracking; Object Detection; Text Detection; Visual Saliency

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Shanmuga Vadivel, K. (2014). Modeling Eye Tracking Data with Application to Object Detection. (Thesis). University of California – eScholarship, University of California. Retrieved from http://www.escholarship.org/uc/item/556687hq

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Shanmuga Vadivel, Karthikeyan. “Modeling Eye Tracking Data with Application to Object Detection.” 2014. Thesis, University of California – eScholarship, University of California. Accessed April 23, 2021. http://www.escholarship.org/uc/item/556687hq.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Shanmuga Vadivel, Karthikeyan. “Modeling Eye Tracking Data with Application to Object Detection.” 2014. Web. 23 Apr 2021.

Vancouver:

Shanmuga Vadivel K. Modeling Eye Tracking Data with Application to Object Detection. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2021 Apr 23]. Available from: http://www.escholarship.org/uc/item/556687hq.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation

Council of Science Editors:

Shanmuga Vadivel K. Modeling Eye Tracking Data with Application to Object Detection. [Thesis]. University of California – eScholarship, University of California; 2014. Available from: http://www.escholarship.org/uc/item/556687hq

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation


University of Wolverhampton

30. Chong, Man Yan Miranda. A study on plagiarism detection and plagiarism direction identification using natural language processing techniques.

Degree: PhD, 2013, University of Wolverhampton

 Ever since we entered the digital communication era, the ease of information sharing through the internet has encouraged online literature searching. With this comes the… (more)

Subjects/Keywords: 378.195; Plagiarism; Plagiarism detection; Plagiarism direction; Plagiarism direction detection; Statisical feature; Linguistic features; Machine learning; Text classification; Natural Language Processing

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APA · Chicago · MLA · Vancouver · CSE | Export to Zotero / EndNote / Reference Manager

APA (6th Edition):

Chong, M. Y. M. (2013). A study on plagiarism detection and plagiarism direction identification using natural language processing techniques. (Doctoral Dissertation). University of Wolverhampton. Retrieved from http://hdl.handle.net/2436/298219

Chicago Manual of Style (16th Edition):

Chong, Man Yan Miranda. “A study on plagiarism detection and plagiarism direction identification using natural language processing techniques.” 2013. Doctoral Dissertation, University of Wolverhampton. Accessed April 23, 2021. http://hdl.handle.net/2436/298219.

MLA Handbook (7th Edition):

Chong, Man Yan Miranda. “A study on plagiarism detection and plagiarism direction identification using natural language processing techniques.” 2013. Web. 23 Apr 2021.

Vancouver:

Chong MYM. A study on plagiarism detection and plagiarism direction identification using natural language processing techniques. [Internet] [Doctoral dissertation]. University of Wolverhampton; 2013. [cited 2021 Apr 23]. Available from: http://hdl.handle.net/2436/298219.

Council of Science Editors:

Chong MYM. A study on plagiarism detection and plagiarism direction identification using natural language processing techniques. [Doctoral Dissertation]. University of Wolverhampton; 2013. Available from: http://hdl.handle.net/2436/298219

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