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You searched for subject:(CNN). Showing records 1 – 30 of 279 total matches.

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University of Ottawa

1. Gu, Dongfeng. 3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions .

Degree: 2017, University of Ottawa

 In recent years, deep convolutional neural networks (CNNs) have shown remarkable results in the image domain. However, most of the neural networks in action recognition… (more)

Subjects/Keywords: 3D-DenseNet; CNN

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

APA (6th Edition):

Gu, D. (2017). 3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36739

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):

Gu, Dongfeng. “3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions .” 2017. Thesis, University of Ottawa. Accessed April 05, 2020. http://hdl.handle.net/10393/36739.

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

MLA Handbook (7th Edition):

Gu, Dongfeng. “3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions .” 2017. Web. 05 Apr 2020.

Vancouver:

Gu D. 3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10393/36739.

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

Council of Science Editors:

Gu D. 3D Densely Connected Convolutional Network for the Recognition of Human Shopping Actions . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36739

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


University of Ottawa

2. Li, Xile. Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks .

Degree: 2017, University of Ottawa

 This thesis presents a real-time multi-face tracking system, which is able to track multiple faces for live videos, broadcast, real-time conference recording, etc. The real-time… (more)

Subjects/Keywords: Multi-face tracking; CNN

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APA (6th Edition):

Li, X. (2017). Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/36707

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):

Li, Xile. “Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks .” 2017. Thesis, University of Ottawa. Accessed April 05, 2020. http://hdl.handle.net/10393/36707.

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

MLA Handbook (7th Edition):

Li, Xile. “Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks .” 2017. Web. 05 Apr 2020.

Vancouver:

Li X. Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks . [Internet] [Thesis]. University of Ottawa; 2017. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10393/36707.

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

Council of Science Editors:

Li X. Real-time Multi-face Tracking with Labels based on Convolutional Neural Networks . [Thesis]. University of Ottawa; 2017. Available from: http://hdl.handle.net/10393/36707

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


Texas State University – San Marcos

3. Chen, Xinbo. Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition.

Degree: MS, Computer Science, 2016, Texas State University – San Marcos

 In recent years, convolutional neural network (CNN) has been widely used to improve the training time and accuracy of image recognition applications. These CNNs are… (more)

Subjects/Keywords: Neural network; CNN; Energy efficiency

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APA (6th Edition):

Chen, X. (2016). Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition. (Masters Thesis). Texas State University – San Marcos. Retrieved from https://digital.library.txstate.edu/handle/10877/6853

Chicago Manual of Style (16th Edition):

Chen, Xinbo. “Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition.” 2016. Masters Thesis, Texas State University – San Marcos. Accessed April 05, 2020. https://digital.library.txstate.edu/handle/10877/6853.

MLA Handbook (7th Edition):

Chen, Xinbo. “Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition.” 2016. Web. 05 Apr 2020.

Vancouver:

Chen X. Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition. [Internet] [Masters thesis]. Texas State University – San Marcos; 2016. [cited 2020 Apr 05]. Available from: https://digital.library.txstate.edu/handle/10877/6853.

Council of Science Editors:

Chen X. Energy Efficiency Analysis and Optimization of Convolutional Neural Networks For Image Recognition. [Masters Thesis]. Texas State University – San Marcos; 2016. Available from: https://digital.library.txstate.edu/handle/10877/6853


University of Arizona

4. Guo, Jiashu. Deep Neural Networks for Modeling Sequential Prediction Tasks with Applications in Brain Tumors .

Degree: 2018, University of Arizona

 Gliomas are malignant brain tumors that are associated with high neurological morbidity and poor outcomes. Patients diagnosed with low-grade gliomas are typically followed by a… (more)

Subjects/Keywords: CNN; Gliomas; LSTM; Sequential

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APA (6th Edition):

Guo, J. (2018). Deep Neural Networks for Modeling Sequential Prediction Tasks with Applications in Brain Tumors . (Masters Thesis). University of Arizona. Retrieved from http://hdl.handle.net/10150/630148

Chicago Manual of Style (16th Edition):

Guo, Jiashu. “Deep Neural Networks for Modeling Sequential Prediction Tasks with Applications in Brain Tumors .” 2018. Masters Thesis, University of Arizona. Accessed April 05, 2020. http://hdl.handle.net/10150/630148.

MLA Handbook (7th Edition):

Guo, Jiashu. “Deep Neural Networks for Modeling Sequential Prediction Tasks with Applications in Brain Tumors .” 2018. Web. 05 Apr 2020.

Vancouver:

Guo J. Deep Neural Networks for Modeling Sequential Prediction Tasks with Applications in Brain Tumors . [Internet] [Masters thesis]. University of Arizona; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10150/630148.

Council of Science Editors:

Guo J. Deep Neural Networks for Modeling Sequential Prediction Tasks with Applications in Brain Tumors . [Masters Thesis]. University of Arizona; 2018. Available from: http://hdl.handle.net/10150/630148

5. Hu, Jiaqi. A personal facial expression monitoring system using deep learning .

Degree: 2017, Texas A&M University – Corpus Christi

 Facial expression recognition has been a challenge for many years. With the recent growth in machine learning, a real-time facial expression recognition system using deep… (more)

Subjects/Keywords: CNN; Facial Expression Recognition

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

APA (6th Edition):

Hu, J. (2017). A personal facial expression monitoring system using deep learning . (Thesis). Texas A&M University – Corpus Christi. Retrieved from http://hdl.handle.net/1969.6/5630

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):

Hu, Jiaqi. “A personal facial expression monitoring system using deep learning .” 2017. Thesis, Texas A&M University – Corpus Christi. Accessed April 05, 2020. http://hdl.handle.net/1969.6/5630.

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

MLA Handbook (7th Edition):

Hu, Jiaqi. “A personal facial expression monitoring system using deep learning .” 2017. Web. 05 Apr 2020.

Vancouver:

Hu J. A personal facial expression monitoring system using deep learning . [Internet] [Thesis]. Texas A&M University – Corpus Christi; 2017. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/1969.6/5630.

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

Council of Science Editors:

Hu J. A personal facial expression monitoring system using deep learning . [Thesis]. Texas A&M University – Corpus Christi; 2017. Available from: http://hdl.handle.net/1969.6/5630

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


Rutgers University

6. Jin, Tian, 1991-. From photos to 3D design: a product shape family design and modeling framework with image-based reconstruction and 3D convolutional neural networks.

Degree: PhD, Mechanical and Aerospace Engineering, 2019, Rutgers University

 Current development of new product and product variation is largely driven by the increasingly sophisticated and demanding customers, and product variety plays a crucial role… (more)

Subjects/Keywords: 3D-CNN; Three-dimensional imaging

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APA (6th Edition):

Jin, Tian, 1. (2019). From photos to 3D design: a product shape family design and modeling framework with image-based reconstruction and 3D convolutional neural networks. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/61772/

Chicago Manual of Style (16th Edition):

Jin, Tian, 1991-. “From photos to 3D design: a product shape family design and modeling framework with image-based reconstruction and 3D convolutional neural networks.” 2019. Doctoral Dissertation, Rutgers University. Accessed April 05, 2020. https://rucore.libraries.rutgers.edu/rutgers-lib/61772/.

MLA Handbook (7th Edition):

Jin, Tian, 1991-. “From photos to 3D design: a product shape family design and modeling framework with image-based reconstruction and 3D convolutional neural networks.” 2019. Web. 05 Apr 2020.

Vancouver:

Jin, Tian 1. From photos to 3D design: a product shape family design and modeling framework with image-based reconstruction and 3D convolutional neural networks. [Internet] [Doctoral dissertation]. Rutgers University; 2019. [cited 2020 Apr 05]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61772/.

Council of Science Editors:

Jin, Tian 1. From photos to 3D design: a product shape family design and modeling framework with image-based reconstruction and 3D convolutional neural networks. [Doctoral Dissertation]. Rutgers University; 2019. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/61772/

7. Γεωργάνα, Αθηνά. Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές.

Degree: 2008, University of Patras

Μια σύντομη αναφορά σε κάποια γνωστά μοντέλα Νευρωνικών Δικτύων, περιγραφή της αρχιτεκτονικής τους και εφαρμογές. Παραδείγματα και εφαρμογές Δυναμικών Νευρωνικών Δικτύων. Γενικό πλαίσιο λειτουργίας των… (more)

Subjects/Keywords: Νευρωνικά δίκτυα; 006.32; Neural networks; CNN

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APA (6th Edition):

Γεωργάνα, . (2008). Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές. (Masters Thesis). University of Patras. Retrieved from http://nemertes.lis.upatras.gr/jspui/handle/10889/782

Chicago Manual of Style (16th Edition):

Γεωργάνα, Αθηνά. “Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές.” 2008. Masters Thesis, University of Patras. Accessed April 05, 2020. http://nemertes.lis.upatras.gr/jspui/handle/10889/782.

MLA Handbook (7th Edition):

Γεωργάνα, Αθηνά. “Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές.” 2008. Web. 05 Apr 2020.

Vancouver:

Γεωργάνα . Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές. [Internet] [Masters thesis]. University of Patras; 2008. [cited 2020 Apr 05]. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/782.

Council of Science Editors:

Γεωργάνα . Νευρωνικά δίκτυα: αρχιτεκτονική και εφαρμογές. [Masters Thesis]. University of Patras; 2008. Available from: http://nemertes.lis.upatras.gr/jspui/handle/10889/782


Universiteit Utrecht

8. Ugne, T. CNN Effect: Power or Mean? Study of Media Influence on Foreign Policy Decision - MakingComparative Analysis of Two Humanitarian Disasters: Ethiopia (1984 – 1985) and Somalia (1992).

Degree: 2006, Universiteit Utrecht

The thesis analyzes media's effect on American foreign policy during humanitarian crises. While comparing two similar cases of humanitarian disaster (Ethiopian famine (1984-1985) and humanitarian intervention in Somalia (1992)) the effects of media are defined. Advisors/Committee Members: Duyvesteyn, I..

Subjects/Keywords: Letteren; CNN effect

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APA (6th Edition):

Ugne, T. (2006). CNN Effect: Power or Mean? Study of Media Influence on Foreign Policy Decision - MakingComparative Analysis of Two Humanitarian Disasters: Ethiopia (1984 – 1985) and Somalia (1992). (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/13712

Chicago Manual of Style (16th Edition):

Ugne, T. “CNN Effect: Power or Mean? Study of Media Influence on Foreign Policy Decision - MakingComparative Analysis of Two Humanitarian Disasters: Ethiopia (1984 – 1985) and Somalia (1992).” 2006. Masters Thesis, Universiteit Utrecht. Accessed April 05, 2020. http://dspace.library.uu.nl:8080/handle/1874/13712.

MLA Handbook (7th Edition):

Ugne, T. “CNN Effect: Power or Mean? Study of Media Influence on Foreign Policy Decision - MakingComparative Analysis of Two Humanitarian Disasters: Ethiopia (1984 – 1985) and Somalia (1992).” 2006. Web. 05 Apr 2020.

Vancouver:

Ugne T. CNN Effect: Power or Mean? Study of Media Influence on Foreign Policy Decision - MakingComparative Analysis of Two Humanitarian Disasters: Ethiopia (1984 – 1985) and Somalia (1992). [Internet] [Masters thesis]. Universiteit Utrecht; 2006. [cited 2020 Apr 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/13712.

Council of Science Editors:

Ugne T. CNN Effect: Power or Mean? Study of Media Influence on Foreign Policy Decision - MakingComparative Analysis of Two Humanitarian Disasters: Ethiopia (1984 – 1985) and Somalia (1992). [Masters Thesis]. Universiteit Utrecht; 2006. Available from: http://dspace.library.uu.nl:8080/handle/1874/13712


Université Catholique de Louvain

9. Lebeau, Eric. Study of label errors on a convolutional neural network.

Degree: 2017, Université Catholique de Louvain

Label errors can have a negative impact on the training of a convolutional neural network for image classification. Consequently, the learning of these label errors… (more)

Subjects/Keywords: CNN; Label errors; Image classification; Digits classification

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APA (6th Edition):

Lebeau, E. (2017). Study of label errors on a convolutional neural network. (Thesis). Université Catholique de Louvain. Retrieved from http://hdl.handle.net/2078.1/thesis:13006

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):

Lebeau, Eric. “Study of label errors on a convolutional neural network.” 2017. Thesis, Université Catholique de Louvain. Accessed April 05, 2020. http://hdl.handle.net/2078.1/thesis:13006.

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

MLA Handbook (7th Edition):

Lebeau, Eric. “Study of label errors on a convolutional neural network.” 2017. Web. 05 Apr 2020.

Vancouver:

Lebeau E. Study of label errors on a convolutional neural network. [Internet] [Thesis]. Université Catholique de Louvain; 2017. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2078.1/thesis:13006.

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

Council of Science Editors:

Lebeau E. Study of label errors on a convolutional neural network. [Thesis]. Université Catholique de Louvain; 2017. Available from: http://hdl.handle.net/2078.1/thesis:13006

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

10. Nordeng, Ian Edward. Dead End Body Component Inspections With Convolutional Neural Networks Using UAS Imagery.

Degree: MS, Mechanical Engineering, 2018, University of North Dakota

  This work presents a novel system utilizing previously developed convolutional neural network (CNN) architectures to aid in automating maintenance inspections of the dead-end body… (more)

Subjects/Keywords: CNN; Convolutional Neural Network; Inspections; Machine Learning

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APA (6th Edition):

Nordeng, I. E. (2018). Dead End Body Component Inspections With Convolutional Neural Networks Using UAS Imagery. (Masters Thesis). University of North Dakota. Retrieved from https://commons.und.edu/theses/2300

Chicago Manual of Style (16th Edition):

Nordeng, Ian Edward. “Dead End Body Component Inspections With Convolutional Neural Networks Using UAS Imagery.” 2018. Masters Thesis, University of North Dakota. Accessed April 05, 2020. https://commons.und.edu/theses/2300.

MLA Handbook (7th Edition):

Nordeng, Ian Edward. “Dead End Body Component Inspections With Convolutional Neural Networks Using UAS Imagery.” 2018. Web. 05 Apr 2020.

Vancouver:

Nordeng IE. Dead End Body Component Inspections With Convolutional Neural Networks Using UAS Imagery. [Internet] [Masters thesis]. University of North Dakota; 2018. [cited 2020 Apr 05]. Available from: https://commons.und.edu/theses/2300.

Council of Science Editors:

Nordeng IE. Dead End Body Component Inspections With Convolutional Neural Networks Using UAS Imagery. [Masters Thesis]. University of North Dakota; 2018. Available from: https://commons.und.edu/theses/2300


University of Adelaide

11. Liao, Zhibin. Methods for Understanding and Improving Deep Learning Classification Models.

Degree: 2017, University of Adelaide

 Recently proposed deep learning systems can achieve superior performance with respect to methods based on hand-crafted features on a broad range of tasks, not limited… (more)

Subjects/Keywords: Deep learning; machine learning; classification; CNN

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APA (6th Edition):

Liao, Z. (2017). Methods for Understanding and Improving Deep Learning Classification Models. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/119246

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):

Liao, Zhibin. “Methods for Understanding and Improving Deep Learning Classification Models.” 2017. Thesis, University of Adelaide. Accessed April 05, 2020. http://hdl.handle.net/2440/119246.

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

MLA Handbook (7th Edition):

Liao, Zhibin. “Methods for Understanding and Improving Deep Learning Classification Models.” 2017. Web. 05 Apr 2020.

Vancouver:

Liao Z. Methods for Understanding and Improving Deep Learning Classification Models. [Internet] [Thesis]. University of Adelaide; 2017. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2440/119246.

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

Council of Science Editors:

Liao Z. Methods for Understanding and Improving Deep Learning Classification Models. [Thesis]. University of Adelaide; 2017. Available from: http://hdl.handle.net/2440/119246

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

12. Petersson, Anna. Är "no news" verkligen "good news"? : En studie av hur tre svenska webbtidningar rapporterar om fem konflikter och hur teorierna CNN-effekten och Stealth Conflicts kan förklara detta.

Degree: Faculty of Arts and Sciences, 2014, Linköping UniversityLinköping University

  Is there any truth in the saying “no news is good news” or is there a reason to question whether media actually do reflect… (more)

Subjects/Keywords: media; conflict; CNN Effect; Stealth Conflicts

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APA (6th Edition):

Petersson, A. (2014). Är "no news" verkligen "good news"? : En studie av hur tre svenska webbtidningar rapporterar om fem konflikter och hur teorierna CNN-effekten och Stealth Conflicts kan förklara detta. (Thesis). Linköping UniversityLinköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103932

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):

Petersson, Anna. “Är "no news" verkligen "good news"? : En studie av hur tre svenska webbtidningar rapporterar om fem konflikter och hur teorierna CNN-effekten och Stealth Conflicts kan förklara detta.” 2014. Thesis, Linköping UniversityLinköping University. Accessed April 05, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103932.

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

MLA Handbook (7th Edition):

Petersson, Anna. “Är "no news" verkligen "good news"? : En studie av hur tre svenska webbtidningar rapporterar om fem konflikter och hur teorierna CNN-effekten och Stealth Conflicts kan förklara detta.” 2014. Web. 05 Apr 2020.

Vancouver:

Petersson A. Är "no news" verkligen "good news"? : En studie av hur tre svenska webbtidningar rapporterar om fem konflikter och hur teorierna CNN-effekten och Stealth Conflicts kan förklara detta. [Internet] [Thesis]. Linköping UniversityLinköping University; 2014. [cited 2020 Apr 05]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103932.

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

Council of Science Editors:

Petersson A. Är "no news" verkligen "good news"? : En studie av hur tre svenska webbtidningar rapporterar om fem konflikter och hur teorierna CNN-effekten och Stealth Conflicts kan förklara detta. [Thesis]. Linköping UniversityLinköping University; 2014. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-103932

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


University of Waterloo

13. Kumar, Devinder. Class Based Strategies for Understanding Neural Networks.

Degree: 2020, University of Waterloo

 One of the main challenges for broad adoption of deep learning based models such as Convolutional Neural Networks (CNN), is the lack of understanding of… (more)

Subjects/Keywords: explainable AI; interpretability; CNN; fairness; XAI

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APA (6th Edition):

Kumar, D. (2020). Class Based Strategies for Understanding Neural Networks. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/15626

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):

Kumar, Devinder. “Class Based Strategies for Understanding Neural Networks.” 2020. Thesis, University of Waterloo. Accessed April 05, 2020. http://hdl.handle.net/10012/15626.

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

MLA Handbook (7th Edition):

Kumar, Devinder. “Class Based Strategies for Understanding Neural Networks.” 2020. Web. 05 Apr 2020.

Vancouver:

Kumar D. Class Based Strategies for Understanding Neural Networks. [Internet] [Thesis]. University of Waterloo; 2020. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10012/15626.

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

Council of Science Editors:

Kumar D. Class Based Strategies for Understanding Neural Networks. [Thesis]. University of Waterloo; 2020. Available from: http://hdl.handle.net/10012/15626

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


NSYSU

14. Wu, Pei-Hsuan. Architecture Design and Implementation of Deep Neural Network Hardware Accelerators.

Degree: Master, Computer Science and Engineering, 2018, NSYSU

 Deep Neural Networks (DNN) widely used in computer vision applications have superior performance in image classification and object detection. However, the huge amount of data… (more)

Subjects/Keywords: CNN hardware accelerator; deep neural network (DNN); convolutional neural network (CNN); machine learning

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APA (6th Edition):

Wu, P. (2018). Architecture Design and Implementation of Deep Neural Network Hardware Accelerators. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729118-154714

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, Pei-Hsuan. “Architecture Design and Implementation of Deep Neural Network Hardware Accelerators.” 2018. Thesis, NSYSU. Accessed April 05, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729118-154714.

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

MLA Handbook (7th Edition):

Wu, Pei-Hsuan. “Architecture Design and Implementation of Deep Neural Network Hardware Accelerators.” 2018. Web. 05 Apr 2020.

Vancouver:

Wu P. Architecture Design and Implementation of Deep Neural Network Hardware Accelerators. [Internet] [Thesis]. NSYSU; 2018. [cited 2020 Apr 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729118-154714.

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. Architecture Design and Implementation of Deep Neural Network Hardware Accelerators. [Thesis]. NSYSU; 2018. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0729118-154714

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

15. Lorrain, Vincent. Etude et conception de circuits innovants exploitant les caractéristiques des nouvelles technologies mémoires résistives : Study and design of an innovative chip leveraging the characteristics of resistive memory technologies.

Degree: Docteur es, Physique, 2018, Université Paris-Saclay (ComUE)

Dans cette thèse, nous étudions les approches calculatoires dédiées des réseaux de neurones profonds et plus particulièrement des réseaux de neurones convolutionnels (CNN). En effet,… (more)

Subjects/Keywords: Neurone; Impulsion; Cnn; Puce; FDSOI 28nm; Neuron; Spike; Cnn; Chip; FDSOI 28nm

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APA (6th Edition):

Lorrain, V. (2018). Etude et conception de circuits innovants exploitant les caractéristiques des nouvelles technologies mémoires résistives : Study and design of an innovative chip leveraging the characteristics of resistive memory technologies. (Doctoral Dissertation). Université Paris-Saclay (ComUE). Retrieved from http://www.theses.fr/2018SACLS182

Chicago Manual of Style (16th Edition):

Lorrain, Vincent. “Etude et conception de circuits innovants exploitant les caractéristiques des nouvelles technologies mémoires résistives : Study and design of an innovative chip leveraging the characteristics of resistive memory technologies.” 2018. Doctoral Dissertation, Université Paris-Saclay (ComUE). Accessed April 05, 2020. http://www.theses.fr/2018SACLS182.

MLA Handbook (7th Edition):

Lorrain, Vincent. “Etude et conception de circuits innovants exploitant les caractéristiques des nouvelles technologies mémoires résistives : Study and design of an innovative chip leveraging the characteristics of resistive memory technologies.” 2018. Web. 05 Apr 2020.

Vancouver:

Lorrain V. Etude et conception de circuits innovants exploitant les caractéristiques des nouvelles technologies mémoires résistives : Study and design of an innovative chip leveraging the characteristics of resistive memory technologies. [Internet] [Doctoral dissertation]. Université Paris-Saclay (ComUE); 2018. [cited 2020 Apr 05]. Available from: http://www.theses.fr/2018SACLS182.

Council of Science Editors:

Lorrain V. Etude et conception de circuits innovants exploitant les caractéristiques des nouvelles technologies mémoires résistives : Study and design of an innovative chip leveraging the characteristics of resistive memory technologies. [Doctoral Dissertation]. Université Paris-Saclay (ComUE); 2018. Available from: http://www.theses.fr/2018SACLS182


Brno University of Technology

16. Fischer, Martin. Detekce graffiti tagů v obraze .

Degree: 2019, Brno University of Technology

 Cílem této práce je porovnat různé přístupy počítačového vidění se záměrem automatické detekce graffiti tagů v obraze. Za tímto účelem byly v řešení použity modely… (more)

Subjects/Keywords: detekce objektů; graffiti tagy; konvoluční neuronové sítě; Faster R-CNN; R-FCN; Mask R-CNN; EAST detektor; CCNN; Counting CNN; object detection; graffiti tags; convolutional neural network; Faster R-CNN; R-FCN; Mask R-CNN; EAST detector; CCNN; Counting CNN

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

APA (6th Edition):

Fischer, M. (2019). Detekce graffiti tagů v obraze . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180108

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):

Fischer, Martin. “Detekce graffiti tagů v obraze .” 2019. Thesis, Brno University of Technology. Accessed April 05, 2020. http://hdl.handle.net/11012/180108.

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

MLA Handbook (7th Edition):

Fischer, Martin. “Detekce graffiti tagů v obraze .” 2019. Web. 05 Apr 2020.

Vancouver:

Fischer M. Detekce graffiti tagů v obraze . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/11012/180108.

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

Council of Science Editors:

Fischer M. Detekce graffiti tagů v obraze . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180108

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


Brno University of Technology

17. Le, Hoang Anh. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí .

Degree: 2019, Brno University of Technology

 Cílem práce bylo vytvořit holistický rozpoznávač registračních značek, kde byl kladen důraz  na dosáhnutí co nejvyšší přesností na snímcích horší kvality.  Byla navrhnuta a implementována… (more)

Subjects/Keywords: registrační značka; strojové učení; CNN; RNN; OCR; LSTM; CTC; license plate; machine learning; CNN; RNN; OCR; LSTM; CTC

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

APA (6th Edition):

Le, H. A. (2019). Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí . (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/180111

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):

Le, Hoang Anh. “Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí .” 2019. Thesis, Brno University of Technology. Accessed April 05, 2020. http://hdl.handle.net/11012/180111.

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

MLA Handbook (7th Edition):

Le, Hoang Anh. “Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí .” 2019. Web. 05 Apr 2020.

Vancouver:

Le HA. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí . [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/11012/180111.

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

Council of Science Editors:

Le HA. Holistické rozpoznání registrační značky pomocí konvolučních neuronových sítí . [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/180111

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


Lehigh University

18. Kafka, Adam. Caption Aided Action Recognition Using Single Images.

Degree: MS, Computer Science, 2017, Lehigh University

 In this paper, we attack the problem of classifying human actions from a single, static image. We propose that leveraging an automatic caption generator for… (more)

Subjects/Keywords: action; caption; classification; CNN; LSTM; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Kafka, A. (2017). Caption Aided Action Recognition Using Single Images. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2653

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):

Kafka, Adam. “Caption Aided Action Recognition Using Single Images.” 2017. Thesis, Lehigh University. Accessed April 05, 2020. https://preserve.lehigh.edu/etd/2653.

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

MLA Handbook (7th Edition):

Kafka, Adam. “Caption Aided Action Recognition Using Single Images.” 2017. Web. 05 Apr 2020.

Vancouver:

Kafka A. Caption Aided Action Recognition Using Single Images. [Internet] [Thesis]. Lehigh University; 2017. [cited 2020 Apr 05]. Available from: https://preserve.lehigh.edu/etd/2653.

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

Council of Science Editors:

Kafka A. Caption Aided Action Recognition Using Single Images. [Thesis]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2653

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


NSYSU

19. Wang, Li-chieh. System Platform Integration and Kernel Optimizations for Some Embedded Applications Based on Altera OpenCL Framework.

Degree: Master, Computer Science and Engineering, 2017, NSYSU

 In recent years, accelerating compute-intensive applications by utilizing FPGA computing resources based on OpenCL interface has received a lot of attention. This scheme cannot only… (more)

Subjects/Keywords: Altera FPGA; convolutional neural network; HOG; CNN; human detection; OpenCL

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

APA (6th Edition):

Wang, L. (2017). System Platform Integration and Kernel Optimizations for Some Embedded Applications Based on Altera OpenCL Framework. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-135946

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):

Wang, Li-chieh. “System Platform Integration and Kernel Optimizations for Some Embedded Applications Based on Altera OpenCL Framework.” 2017. Thesis, NSYSU. Accessed April 05, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-135946.

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

MLA Handbook (7th Edition):

Wang, Li-chieh. “System Platform Integration and Kernel Optimizations for Some Embedded Applications Based on Altera OpenCL Framework.” 2017. Web. 05 Apr 2020.

Vancouver:

Wang L. System Platform Integration and Kernel Optimizations for Some Embedded Applications Based on Altera OpenCL Framework. [Internet] [Thesis]. NSYSU; 2017. [cited 2020 Apr 05]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-135946.

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

Council of Science Editors:

Wang L. System Platform Integration and Kernel Optimizations for Some Embedded Applications Based on Altera OpenCL Framework. [Thesis]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0016117-135946

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


Universiteit Utrecht

20. Graaf, J.J. de. Al-Jazeera English: the Opinion and the Other Opinion. A comparison between ideologies in CNN International and Al-Jazeera English.

Degree: 2008, Universiteit Utrecht

 Elite groups struggle to maintain existing power structures, and research reveals that the news media play an active role in maintaining these dominant ideologies. In… (more)

Subjects/Keywords: Letteren; Media; Critical Discourse Analysis; Ideology; Al-Jazeera English; CNN International

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APA (6th Edition):

Graaf, J. J. d. (2008). Al-Jazeera English: the Opinion and the Other Opinion. A comparison between ideologies in CNN International and Al-Jazeera English. (Masters Thesis). Universiteit Utrecht. Retrieved from http://dspace.library.uu.nl:8080/handle/1874/27244

Chicago Manual of Style (16th Edition):

Graaf, J J de. “Al-Jazeera English: the Opinion and the Other Opinion. A comparison between ideologies in CNN International and Al-Jazeera English.” 2008. Masters Thesis, Universiteit Utrecht. Accessed April 05, 2020. http://dspace.library.uu.nl:8080/handle/1874/27244.

MLA Handbook (7th Edition):

Graaf, J J de. “Al-Jazeera English: the Opinion and the Other Opinion. A comparison between ideologies in CNN International and Al-Jazeera English.” 2008. Web. 05 Apr 2020.

Vancouver:

Graaf JJd. Al-Jazeera English: the Opinion and the Other Opinion. A comparison between ideologies in CNN International and Al-Jazeera English. [Internet] [Masters thesis]. Universiteit Utrecht; 2008. [cited 2020 Apr 05]. Available from: http://dspace.library.uu.nl:8080/handle/1874/27244.

Council of Science Editors:

Graaf JJd. Al-Jazeera English: the Opinion and the Other Opinion. A comparison between ideologies in CNN International and Al-Jazeera English. [Masters Thesis]. Universiteit Utrecht; 2008. Available from: http://dspace.library.uu.nl:8080/handle/1874/27244


Vilnius University

21. Didžiūnaitytė, Edita. "Islamo grėsmės" įvaizdis televizijoje.

Degree: Master, 2009, Vilnius University

Magistro darbo objektas – „islamo grėsmės“ įvaizdis televizijoje. Darbo tikslas – išanalizuoti islamo grėsmės įvaizdžio formavimą televizijoje. Pagrindiniai darbo uždaviniai: Apibrėžti islamo sampratą ir jo… (more)

Subjects/Keywords: Islamas; Musulmonai; Terorizmas; Įvaizdis; Įvaizdžio formavimas; Televizija; Televizijos įtaka; CNN

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APA (6th Edition):

Didžiūnaitytė, Edita. (2009). "Islamo grėsmės" įvaizdis televizijoje. (Masters Thesis). Vilnius University. Retrieved from http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_193952-87015 ;

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

Chicago Manual of Style (16th Edition):

Didžiūnaitytė, Edita. “"Islamo grėsmės" įvaizdis televizijoje.” 2009. Masters Thesis, Vilnius University. Accessed April 05, 2020. http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_193952-87015 ;.

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

MLA Handbook (7th Edition):

Didžiūnaitytė, Edita. “"Islamo grėsmės" įvaizdis televizijoje.” 2009. Web. 05 Apr 2020.

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

Vancouver:

Didžiūnaitytė, Edita. "Islamo grėsmės" įvaizdis televizijoje. [Internet] [Masters thesis]. Vilnius University; 2009. [cited 2020 Apr 05]. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_193952-87015 ;.

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

Council of Science Editors:

Didžiūnaitytė, Edita. "Islamo grėsmės" įvaizdis televizijoje. [Masters Thesis]. Vilnius University; 2009. Available from: http://vddb.laba.lt/obj/LT-eLABa-0001:E.02~2007~D_20090908_193952-87015 ;

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


Université de Sherbrooke

22. Lemaire, Carl. L'élagage des réseaux neuronaux convolutionnels pour faciliter l'analyse du trafic routier .

Degree: 2019, Université de Sherbrooke

 L'analyse automatique de vidéos est une direction prometteuse dans le domaine de l'analyse du trafic routier. Elle a de nombreux avantages par rapport aux méthodes… (more)

Subjects/Keywords: Apprentissage automatique; Pruning; Élagage; Apprentissage profond; Deep learning; Classification; CNN

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APA (6th Edition):

Lemaire, C. (2019). L'élagage des réseaux neuronaux convolutionnels pour faciliter l'analyse du trafic routier . (Masters Thesis). Université de Sherbrooke. Retrieved from http://hdl.handle.net/11143/14661

Chicago Manual of Style (16th Edition):

Lemaire, Carl. “L'élagage des réseaux neuronaux convolutionnels pour faciliter l'analyse du trafic routier .” 2019. Masters Thesis, Université de Sherbrooke. Accessed April 05, 2020. http://hdl.handle.net/11143/14661.

MLA Handbook (7th Edition):

Lemaire, Carl. “L'élagage des réseaux neuronaux convolutionnels pour faciliter l'analyse du trafic routier .” 2019. Web. 05 Apr 2020.

Vancouver:

Lemaire C. L'élagage des réseaux neuronaux convolutionnels pour faciliter l'analyse du trafic routier . [Internet] [Masters thesis]. Université de Sherbrooke; 2019. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/11143/14661.

Council of Science Editors:

Lemaire C. L'élagage des réseaux neuronaux convolutionnels pour faciliter l'analyse du trafic routier . [Masters Thesis]. Université de Sherbrooke; 2019. Available from: http://hdl.handle.net/11143/14661


California State University – Sacramento

23. Estebanez, Andres Xavier. SParkSys: a smart parking system, machine learning methods for parking space occupation detection.

Degree: MS, Computer Engineering, 2020, California State University – Sacramento

 In many city centers and institutions, the issue of parking is becoming an increasingly serious one. Increasing numbers of people are flocking to cities, and… (more)

Subjects/Keywords: Convolutional Neural Network; CNN; Parking; Machine Learning; Image Recognition; Object Recognition

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APA (6th Edition):

Estebanez, A. X. (2020). SParkSys: a smart parking system, machine learning methods for parking space occupation detection. (Masters Thesis). California State University – Sacramento. Retrieved from http://hdl.handle.net/10211.3/215199

Chicago Manual of Style (16th Edition):

Estebanez, Andres Xavier. “SParkSys: a smart parking system, machine learning methods for parking space occupation detection.” 2020. Masters Thesis, California State University – Sacramento. Accessed April 05, 2020. http://hdl.handle.net/10211.3/215199.

MLA Handbook (7th Edition):

Estebanez, Andres Xavier. “SParkSys: a smart parking system, machine learning methods for parking space occupation detection.” 2020. Web. 05 Apr 2020.

Vancouver:

Estebanez AX. SParkSys: a smart parking system, machine learning methods for parking space occupation detection. [Internet] [Masters thesis]. California State University – Sacramento; 2020. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10211.3/215199.

Council of Science Editors:

Estebanez AX. SParkSys: a smart parking system, machine learning methods for parking space occupation detection. [Masters Thesis]. California State University – Sacramento; 2020. Available from: http://hdl.handle.net/10211.3/215199


University of Debrecen

24. Szabó, Bence. Multiprocesszoros neuronhálózat kommunikációs komponenseinek tervezése és párhuzamos programozhatóságának megvalósítása .

Degree: DE – Informatikai Kar, University of Debrecen

 Szakdolgozatomban egy multiprocesszoros neuronhálózat különböző komponenseinek tervezéséről és elkészítéséről írtam. Röviden bemutatom a Cellular Neural Network elvét, illetve ismeretetem egy ahhoz hasonló modell készítésének részeit.… (more)

Subjects/Keywords: multiprocesszoros neuronhálózat ANTLR CNN

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APA (6th Edition):

Szabó, B. (n.d.). Multiprocesszoros neuronhálózat kommunikációs komponenseinek tervezése és párhuzamos programozhatóságának megvalósítása . (Thesis). University of Debrecen. Retrieved from http://hdl.handle.net/2437/238971

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

Chicago Manual of Style (16th Edition):

Szabó, Bence. “Multiprocesszoros neuronhálózat kommunikációs komponenseinek tervezése és párhuzamos programozhatóságának megvalósítása .” Thesis, University of Debrecen. Accessed April 05, 2020. http://hdl.handle.net/2437/238971.

Note: this citation may be lacking information needed for this citation format:
No year of publication.
Not specified: Masters Thesis or Doctoral Dissertation

MLA Handbook (7th Edition):

Szabó, Bence. “Multiprocesszoros neuronhálózat kommunikációs komponenseinek tervezése és párhuzamos programozhatóságának megvalósítása .” Web. 05 Apr 2020.

Note: this citation may be lacking information needed for this citation format:
No year of publication.

Vancouver:

Szabó B. Multiprocesszoros neuronhálózat kommunikációs komponenseinek tervezése és párhuzamos programozhatóságának megvalósítása . [Internet] [Thesis]. University of Debrecen; [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2437/238971.

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.

Council of Science Editors:

Szabó B. Multiprocesszoros neuronhálózat kommunikációs komponenseinek tervezése és párhuzamos programozhatóságának megvalósítása . [Thesis]. University of Debrecen; Available from: http://hdl.handle.net/2437/238971

Note: this citation may be lacking information needed for this citation format:
Not specified: Masters Thesis or Doctoral Dissertation
No year of publication.


Boston University

25. Zhou, Quan. Bidirectional long short-term memory network for proto-object representation.

Degree: MS, Computer Science, 2018, Boston University

 Researchers have developed many visual saliency models in order to advance the technology in computer vision. Neural networks, Convolution Neural Networks (CNNs) in particular, have… (more)

Subjects/Keywords: Computer science; CNN; LSTM; Machine learning; Neural networks; Saliency

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APA (6th Edition):

Zhou, Q. (2018). Bidirectional long short-term memory network for proto-object representation. (Masters Thesis). Boston University. Retrieved from http://hdl.handle.net/2144/31682

Chicago Manual of Style (16th Edition):

Zhou, Quan. “Bidirectional long short-term memory network for proto-object representation.” 2018. Masters Thesis, Boston University. Accessed April 05, 2020. http://hdl.handle.net/2144/31682.

MLA Handbook (7th Edition):

Zhou, Quan. “Bidirectional long short-term memory network for proto-object representation.” 2018. Web. 05 Apr 2020.

Vancouver:

Zhou Q. Bidirectional long short-term memory network for proto-object representation. [Internet] [Masters thesis]. Boston University; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/2144/31682.

Council of Science Editors:

Zhou Q. Bidirectional long short-term memory network for proto-object representation. [Masters Thesis]. Boston University; 2018. Available from: http://hdl.handle.net/2144/31682


University of Ottawa

26. Kapoor, Prince. Shoulder Keypoint-Detection from Object Detection .

Degree: 2018, University of Ottawa

 This thesis presents detailed observation of different Convolutional Neural Network (CNN) architecture which had assisted Computer Vision researchers to achieve state-of-the-art performance on classification, detection,… (more)

Subjects/Keywords: Shoulder Keypoint Detection; Object Detection; CNN Feature Extractors; LSTM-decoder

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

APA (6th Edition):

Kapoor, P. (2018). Shoulder Keypoint-Detection from Object Detection . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/38015

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):

Kapoor, Prince. “Shoulder Keypoint-Detection from Object Detection .” 2018. Thesis, University of Ottawa. Accessed April 05, 2020. http://hdl.handle.net/10393/38015.

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

MLA Handbook (7th Edition):

Kapoor, Prince. “Shoulder Keypoint-Detection from Object Detection .” 2018. Web. 05 Apr 2020.

Vancouver:

Kapoor P. Shoulder Keypoint-Detection from Object Detection . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10393/38015.

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

Council of Science Editors:

Kapoor P. Shoulder Keypoint-Detection from Object Detection . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/38015

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

27. Aldwihe, Ramez. Computer vision for driving support systems: automatic traffic signs detection and proximity analysis.

Degree: 2018, Universidade de Évora

 The future of the automotive industry in the coming years will depend heavily on artificial intelligence techniques. This thesis proposes a technique for automatic detection… (more)

Subjects/Keywords: Traffic sign recognition (TSR); Image processing; Computer vision; CNN

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

APA (6th Edition):

Aldwihe, R. (2018). Computer vision for driving support systems: automatic traffic signs detection and proximity analysis. (Thesis). Universidade de Évora. Retrieved from https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23063

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):

Aldwihe, Ramez. “Computer vision for driving support systems: automatic traffic signs detection and proximity analysis.” 2018. Thesis, Universidade de Évora. Accessed April 05, 2020. https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23063.

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

MLA Handbook (7th Edition):

Aldwihe, Ramez. “Computer vision for driving support systems: automatic traffic signs detection and proximity analysis.” 2018. Web. 05 Apr 2020.

Vancouver:

Aldwihe R. Computer vision for driving support systems: automatic traffic signs detection and proximity analysis. [Internet] [Thesis]. Universidade de Évora; 2018. [cited 2020 Apr 05]. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23063.

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

Council of Science Editors:

Aldwihe R. Computer vision for driving support systems: automatic traffic signs detection and proximity analysis. [Thesis]. Universidade de Évora; 2018. Available from: https://www.rcaap.pt/detail.jsp?id=oai:dspace.uevora.pt:10174/23063

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


University of Waterloo

28. Gurm, Sandeep. Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging.

Degree: 2018, University of Waterloo

 Near infrared imaging (NIR) is an imaging modality that has gained traction for solving biomedical problems in recent years. By leveraging the NIR spectrum, multiple… (more)

Subjects/Keywords: Neural networks; CNN; Multispectral imaging; Tissue classification; Biomedical imaging; NIR

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

APA (6th Edition):

Gurm, S. (2018). Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/13392

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):

Gurm, Sandeep. “Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging.” 2018. Thesis, University of Waterloo. Accessed April 05, 2020. http://hdl.handle.net/10012/13392.

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

MLA Handbook (7th Edition):

Gurm, Sandeep. “Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging.” 2018. Web. 05 Apr 2020.

Vancouver:

Gurm S. Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging. [Internet] [Thesis]. University of Waterloo; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10012/13392.

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

Council of Science Editors:

Gurm S. Neural Network Classifiers for Human Tissue Classification in NIR Biomedical Multispectral Imaging. [Thesis]. University of Waterloo; 2018. Available from: http://hdl.handle.net/10012/13392

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


University of New South Wales

29. Hossain, Sadia. Neonatal Intensive Care Unit Outcomes of Very Preterm Infants in Australia, New Zealand and Canada.

Degree: Women's & Children's Health, 2015, University of New South Wales

 Very preterm infants, born less than 32 weeks gestation, have a high rate of in-hospital mortality and both short term and long term morbidities. A… (more)

Subjects/Keywords: ANZNN; NICU; Quality Improvement; CNN; Very Preterm; Extremely Preterm; Neonatology

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

APA (6th Edition):

Hossain, S. (2015). Neonatal Intensive Care Unit Outcomes of Very Preterm Infants in Australia, New Zealand and Canada. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/55128 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36582/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Hossain, Sadia. “Neonatal Intensive Care Unit Outcomes of Very Preterm Infants in Australia, New Zealand and Canada.” 2015. Doctoral Dissertation, University of New South Wales. Accessed April 05, 2020. http://handle.unsw.edu.au/1959.4/55128 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36582/SOURCE02?view=true.

MLA Handbook (7th Edition):

Hossain, Sadia. “Neonatal Intensive Care Unit Outcomes of Very Preterm Infants in Australia, New Zealand and Canada.” 2015. Web. 05 Apr 2020.

Vancouver:

Hossain S. Neonatal Intensive Care Unit Outcomes of Very Preterm Infants in Australia, New Zealand and Canada. [Internet] [Doctoral dissertation]. University of New South Wales; 2015. [cited 2020 Apr 05]. Available from: http://handle.unsw.edu.au/1959.4/55128 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36582/SOURCE02?view=true.

Council of Science Editors:

Hossain S. Neonatal Intensive Care Unit Outcomes of Very Preterm Infants in Australia, New Zealand and Canada. [Doctoral Dissertation]. University of New South Wales; 2015. Available from: http://handle.unsw.edu.au/1959.4/55128 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:36582/SOURCE02?view=true


University of Illinois – Chicago

30. Umakanth, Srijith. Deep Learning Convolutional Neural Network Applications in Image Analysis to Identify Defects.

Degree: 2018, University of Illinois – Chicago

 Civil infrastructures like bridges, dams etc. must be regularly inspected for damage in the interest of public safety. Current inspections are done manually by human… (more)

Subjects/Keywords: Image Processing Techniques; CNN; GPU; MATLAB; NEURAL NETWORK

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

APA (6th Edition):

Umakanth, S. (2018). Deep Learning Convolutional Neural Network Applications in Image Analysis to Identify Defects. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/22980

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):

Umakanth, Srijith. “Deep Learning Convolutional Neural Network Applications in Image Analysis to Identify Defects.” 2018. Thesis, University of Illinois – Chicago. Accessed April 05, 2020. http://hdl.handle.net/10027/22980.

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

MLA Handbook (7th Edition):

Umakanth, Srijith. “Deep Learning Convolutional Neural Network Applications in Image Analysis to Identify Defects.” 2018. Web. 05 Apr 2020.

Vancouver:

Umakanth S. Deep Learning Convolutional Neural Network Applications in Image Analysis to Identify Defects. [Internet] [Thesis]. University of Illinois – Chicago; 2018. [cited 2020 Apr 05]. Available from: http://hdl.handle.net/10027/22980.

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

Council of Science Editors:

Umakanth S. Deep Learning Convolutional Neural Network Applications in Image Analysis to Identify Defects. [Thesis]. University of Illinois – Chicago; 2018. Available from: http://hdl.handle.net/10027/22980

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

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