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You searched for subject:(text detection). Showing records 1 – 30 of 107 total matches.

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University of South Florida

1. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Zhang J. Extraction of Text Objects in Image and Video Documents. [Internet] [Thesis]. University of South Florida; 2012. [cited 2020 Jul 09]. 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

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

Degree: PhD, Electrical and 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 July 09, 2020. http://hdl.handle.net/10919/81277.

MLA Handbook (7th Edition):

Ibrahim, Ahmed Sobhy Elnady. “End-To-End Text Detection Using Deep Learning.” 2017. Web. 09 Jul 2020.

Vancouver:

Ibrahim ASE. End-To-End Text Detection Using Deep Learning. [Internet] [Doctoral dissertation]. Virginia Tech; 2017. [cited 2020 Jul 09]. 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


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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Musaev A. Landslide information service based on composition of physical and social information services. [Internet] [Doctoral dissertation]. Georgia Tech; 2016. [cited 2020 Jul 09]. 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


Loughborough University

4. 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 (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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Mahmood H. Text detection and recognition from natural images. [Internet] [Doctoral dissertation]. Loughborough University; 2020. [cited 2020 Jul 09]. 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

5. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Olsson O. Automated system tests with image recognition : focused on text detection and recognition. [Internet] [Thesis]. Linköping University; 2019. [cited 2020 Jul 09]. 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

6. -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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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

7. 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 (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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

TRUNG PQ. Extraction of Text from Images and Videos. [Internet] [Thesis]. National University of Singapore; 2014. [cited 2020 Jul 09]. 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

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

Degree: PhD, Information Sciences and Technology, 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. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/zw12z528p

Chicago Manual of Style (16th Edition):

Huang, Wenyi. “Context Modeling for Semantic Text Matching and Scene Text Detection.” 2016. Doctoral Dissertation, Penn State University. Accessed July 09, 2020. https://etda.libraries.psu.edu/catalog/zw12z528p.

MLA Handbook (7th Edition):

Huang, Wenyi. “Context Modeling for Semantic Text Matching and Scene Text Detection.” 2016. Web. 09 Jul 2020.

Vancouver:

Huang W. Context Modeling for Semantic Text Matching and Scene Text Detection. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2020 Jul 09]. Available from: https://etda.libraries.psu.edu/catalog/zw12z528p.

Council of Science Editors:

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


Brno University of Technology

9. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Jeleček J. Automatické zjišťování významu textu: Automatic recognition of meaning in texts. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Jul 09]. 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


University of Oxford

10. 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 (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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Jaderberg M. Deep learning for text spotting. [Internet] [Doctoral dissertation]. University of Oxford; 2015. [cited 2020 Jul 09]. 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


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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Mešár M. Svět kolem nás jako hyperlink: Local Environment as Hyperlink. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Jul 09]. 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


Loughborough University

12. 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 July 09, 2020. http://hdl.handle.net/2134/18065.

MLA Handbook (7th Edition):

Fraz, Muhammad. “Video content analysis for intelligent forensics.” 2014. Web. 09 Jul 2020.

Vancouver:

Fraz M. Video content analysis for intelligent forensics. [Internet] [Doctoral dissertation]. Loughborough University; 2014. [cited 2020 Jul 09]. 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


University of Cincinnati

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

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 July 09, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1447070263.

MLA Handbook (7th Edition):

Vanarase, Aashay K. “CLAN: Communities in Lexical Associative Networks.” 2015. Web. 09 Jul 2020.

Vancouver:

Vanarase AK. CLAN: Communities in Lexical Associative Networks. [Internet] [Masters thesis]. University of Cincinnati; 2015. [cited 2020 Jul 09]. 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


University of Ottawa

14. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Khiari EH. Text Detection and Recognition in the Automotive Context . [Internet] [Thesis]. University of Ottawa; 2015. [cited 2020 Jul 09]. 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


Stellenbosch University

15. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Thom JD. Combining tree kernels and text embeddings for plagiarism detection. [Internet] [Masters thesis]. Stellenbosch University; 2018. [cited 2020 Jul 09]. 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


University of New South Wales

16. Xiao, Chuan. Efficient exact similarity joins.

Degree: Computer Science & Engineering, 2010, University of New South Wales

 Similarity joins play an important role in many application areas, such as near duplicate Web page detection, data integration and cleaning, record linkage, and pattern… (more)

Subjects/Keywords: Text and document retrieval; Similarity join; Near duplicate detection

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

APA (6th Edition):

Xiao, C. (2010). Efficient exact similarity joins. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/50202 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9080/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Xiao, Chuan. “Efficient exact similarity joins.” 2010. Doctoral Dissertation, University of New South Wales. Accessed July 09, 2020. http://handle.unsw.edu.au/1959.4/50202 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9080/SOURCE02?view=true.

MLA Handbook (7th Edition):

Xiao, Chuan. “Efficient exact similarity joins.” 2010. Web. 09 Jul 2020.

Vancouver:

Xiao C. Efficient exact similarity joins. [Internet] [Doctoral dissertation]. University of New South Wales; 2010. [cited 2020 Jul 09]. Available from: http://handle.unsw.edu.au/1959.4/50202 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9080/SOURCE02?view=true.

Council of Science Editors:

Xiao C. Efficient exact similarity joins. [Doctoral Dissertation]. University of New South Wales; 2010. Available from: http://handle.unsw.edu.au/1959.4/50202 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:9080/SOURCE02?view=true


Tampere University

17. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

RINTAMÄKI T. A longitudinal study of text entry by gazing and smiling . [Internet] [Masters thesis]. Tampere University; 2014. [cited 2020 Jul 09]. 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

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

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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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

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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Thompson AN. Event Boundaries, Inconsistency Detection, and Anaphoric Reference</h1>. [Internet] [Thesis]. University of Notre Dame; 2014. [cited 2020 Jul 09]. 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

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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Alshehri A. A Machine Learning Approach to Predicting Community Engagement on Social Media During Disasters. [Internet] [Thesis]. University of South Florida; 2019. [cited 2020 Jul 09]. 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

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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Alabbas W. Mining Twitter for crisis management : realtime floods detection in the Arabian Peninsula. [Internet] [Doctoral dissertation]. University of Bedfordshire; 2018. [cited 2020 Jul 09]. 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


Queensland University of Technology

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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Lau CH. Detecting news topics from microblogs using sequential pattern mining. [Internet] [Thesis]. Queensland University of Technology; 2014. [cited 2020 Jul 09]. 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

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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Ανθιμόπουλος . Ανίχνευση κειμένου σε εικόνες και βίντεο. [Internet] [Thesis]. National and Kapodistrian University of Athens; Εθνικό και Καποδιστριακό Πανεπιστήμιο Αθηνών (ΕΚΠΑ); 2011. [cited 2020 Jul 09]. 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


Brigham Young University

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

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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Wigington CM. End-to-End Full-Page Handwriting Recognition. [Internet] [Masters thesis]. Brigham Young University; 2018. [cited 2020 Jul 09]. 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

25. 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 July 09, 2020. 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. 09 Jul 2020.

Vancouver:

Shanmuga Vadivel K. Modeling Eye Tracking Data with Application to Object Detection. [Internet] [Thesis]. University of California – eScholarship, University of California; 2014. [cited 2020 Jul 09]. 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

26. 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 July 09, 2020. 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. 09 Jul 2020.

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 2020 Jul 09]. 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

27. Redyuk, Sergey. Finding early signals of emerging trends in text through topic modeling and anomaly detection.

Degree: Informatics, 2018, University of Skövde

  Trend prediction has become an extremely popular practice in many industrial sectors and academia. It is beneficial for strategic planning and decision making, and… (more)

Subjects/Keywords: Machine learning; text mining; topic modeling; emerging trend prediction; novelty detection; group anomaly detection; Computer Sciences; Datavetenskap (datalogi)

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

APA (6th Edition):

Redyuk, S. (2018). Finding early signals of emerging trends in text through topic modeling and anomaly detection. (Thesis). University of Skövde. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15507

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):

Redyuk, Sergey. “Finding early signals of emerging trends in text through topic modeling and anomaly detection.” 2018. Thesis, University of Skövde. Accessed July 09, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15507.

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

MLA Handbook (7th Edition):

Redyuk, Sergey. “Finding early signals of emerging trends in text through topic modeling and anomaly detection.” 2018. Web. 09 Jul 2020.

Vancouver:

Redyuk S. Finding early signals of emerging trends in text through topic modeling and anomaly detection. [Internet] [Thesis]. University of Skövde; 2018. [cited 2020 Jul 09]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15507.

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

Council of Science Editors:

Redyuk S. Finding early signals of emerging trends in text through topic modeling and anomaly detection. [Thesis]. University of Skövde; 2018. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:his:diva-15507

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


University of Otago

28. Wolf, Heiko. Scene text area detection from video .

Degree: 2011, University of Otago

Text detection from videos is a well known research area. Especially the detection of static superimposed text such as captions has been researched successfully, but… (more)

Subjects/Keywords: Text detection; videos; static superimposed text; captions; key frame extraction; scene text area detection; feature extraction; feature code generation; text area classification; combined feature scheme; self-organising map; feed-forward neural network; neural computing

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

APA (6th Edition):

Wolf, H. (2011). Scene text area detection from video . (Masters Thesis). University of Otago. Retrieved from http://hdl.handle.net/10523/1351

Chicago Manual of Style (16th Edition):

Wolf, Heiko. “Scene text area detection from video .” 2011. Masters Thesis, University of Otago. Accessed July 09, 2020. http://hdl.handle.net/10523/1351.

MLA Handbook (7th Edition):

Wolf, Heiko. “Scene text area detection from video .” 2011. Web. 09 Jul 2020.

Vancouver:

Wolf H. Scene text area detection from video . [Internet] [Masters thesis]. University of Otago; 2011. [cited 2020 Jul 09]. Available from: http://hdl.handle.net/10523/1351.

Council of Science Editors:

Wolf H. Scene text area detection from video . [Masters Thesis]. University of Otago; 2011. Available from: http://hdl.handle.net/10523/1351


Penn State University

29. Soleimani Bajestani, Hossein. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.

Degree: PhD, Electrical Engineering, 2016, Penn State University

 In this dissertation, we propose probabilistic models for processing large collections of unstructured and sparingly labeled text corpora. We develop our methods for performing challenging… (more)

Subjects/Keywords: Machine Learning; Topic Models; Anomaly Detection; Semi-supervised Learning; Text Modeling; Credit Attribution

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

APA (6th Edition):

Soleimani Bajestani, H. (2016). Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. (Doctoral Dissertation). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/hd76s0057

Chicago Manual of Style (16th Edition):

Soleimani Bajestani, Hossein. “Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.” 2016. Doctoral Dissertation, Penn State University. Accessed July 09, 2020. https://etda.libraries.psu.edu/catalog/hd76s0057.

MLA Handbook (7th Edition):

Soleimani Bajestani, Hossein. “Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora.” 2016. Web. 09 Jul 2020.

Vancouver:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Internet] [Doctoral dissertation]. Penn State University; 2016. [cited 2020 Jul 09]. Available from: https://etda.libraries.psu.edu/catalog/hd76s0057.

Council of Science Editors:

Soleimani Bajestani H. Pattern Discovery from Unstructured and Scarcely Labeled Text Corpora. [Doctoral Dissertation]. Penn State University; 2016. Available from: https://etda.libraries.psu.edu/catalog/hd76s0057


NSYSU

30. Wu, Pao-Feng. Use of Text Summarization for Supporting Event Detection.

Degree: Master, Information Management, 2003, NSYSU

 Environmental scanning, which acquires and use the information about event, trends, and changes in an organizationâs external environment, is an important process in the strategic… (more)

Subjects/Keywords: text summarization; event detection; environmental scanning

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

APA (6th Edition):

Wu, P. (2003). Use of Text Summarization for Supporting Event Detection. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948

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):

Wu, Pao-Feng. “Use of Text Summarization for Supporting Event Detection.” 2003. Thesis, NSYSU. Accessed July 09, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948.

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

MLA Handbook (7th Edition):

Wu, Pao-Feng. “Use of Text Summarization for Supporting Event Detection.” 2003. Web. 09 Jul 2020.

Vancouver:

Wu P. Use of Text Summarization for Supporting Event Detection. [Internet] [Thesis]. NSYSU; 2003. [cited 2020 Jul 09]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948.

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

Council of Science Editors:

Wu P. Use of Text Summarization for Supporting Event Detection. [Thesis]. NSYSU; 2003. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0812103-212948

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

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