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You searched for subject:(pattern recognition). Showing records 1 – 30 of 2036 total matches.

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University of KwaZulu-Natal

1. Schuld, Maria. Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data.

Degree: 2017, University of KwaZulu-Natal

 Humans are experts at recognising patterns in past experience and applying them to new tasks. For example, after seeing pictures of a face we can… (more)

Subjects/Keywords: Pattern.; Recognition.

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

APA (6th Edition):

Schuld, M. (2017). Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data. (Thesis). University of KwaZulu-Natal. Retrieved from http://hdl.handle.net/10413/15748

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):

Schuld, Maria. “Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data.” 2017. Thesis, University of KwaZulu-Natal. Accessed February 27, 2021. http://hdl.handle.net/10413/15748.

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

MLA Handbook (7th Edition):

Schuld, Maria. “Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data.” 2017. Web. 27 Feb 2021.

Vancouver:

Schuld M. Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data. [Internet] [Thesis]. University of KwaZulu-Natal; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10413/15748.

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

Council of Science Editors:

Schuld M. Quantum machine learning for supervised pattern recognition.: How quantum computers learn from data. [Thesis]. University of KwaZulu-Natal; 2017. Available from: http://hdl.handle.net/10413/15748

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


De Montfort University

2. Al Rifaee, Mustafa Moh'd Husien. Unconstrained iris recognition.

Degree: PhD, 2014, De Montfort University

 This research focuses on iris recognition, the most accurate form of biometric identification. The robustness of iris recognition comes from the unique characteristics of the… (more)

Subjects/Keywords: 600; Pattern Recognition

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APA (6th Edition):

Al Rifaee, M. M. H. (2014). Unconstrained iris recognition. (Doctoral Dissertation). De Montfort University. Retrieved from http://hdl.handle.net/2086/10949

Chicago Manual of Style (16th Edition):

Al Rifaee, Mustafa Moh'd Husien. “Unconstrained iris recognition.” 2014. Doctoral Dissertation, De Montfort University. Accessed February 27, 2021. http://hdl.handle.net/2086/10949.

MLA Handbook (7th Edition):

Al Rifaee, Mustafa Moh'd Husien. “Unconstrained iris recognition.” 2014. Web. 27 Feb 2021.

Vancouver:

Al Rifaee MMH. Unconstrained iris recognition. [Internet] [Doctoral dissertation]. De Montfort University; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2086/10949.

Council of Science Editors:

Al Rifaee MMH. Unconstrained iris recognition. [Doctoral Dissertation]. De Montfort University; 2014. Available from: http://hdl.handle.net/2086/10949


NSYSU

3. Chen, Po-ju. A Bometric Verification method based on Knee Accerlation Signal.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2008, NSYSU

 Abstract With the rapid progress of the MEMs process, the cost and the size of accelerometers are reducing rapidly. As a result, accelerometers have found… (more)

Subjects/Keywords: acceleration; VQ; hypersphere; pattern recognition

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APA (6th Edition):

Chen, P. (2008). A Bometric Verification method based on Knee Accerlation Signal. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721108-160528

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):

Chen, Po-ju. “A Bometric Verification method based on Knee Accerlation Signal.” 2008. Thesis, NSYSU. Accessed February 27, 2021. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721108-160528.

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

MLA Handbook (7th Edition):

Chen, Po-ju. “A Bometric Verification method based on Knee Accerlation Signal.” 2008. Web. 27 Feb 2021.

Vancouver:

Chen P. A Bometric Verification method based on Knee Accerlation Signal. [Internet] [Thesis]. NSYSU; 2008. [cited 2021 Feb 27]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721108-160528.

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

Council of Science Editors:

Chen P. A Bometric Verification method based on Knee Accerlation Signal. [Thesis]. NSYSU; 2008. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0721108-160528

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

4. Karunakara, K. Some contributions to the study of pattern recognition;.

Degree: Computer science and engineering, 2014, Kuvempu University

Abstract available newline

Advisors/Committee Members: Mallikarjunaswamy, B P.

Subjects/Keywords: Pattern recognition

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APA (6th Edition):

Karunakara, K. (2014). Some contributions to the study of pattern recognition;. (Thesis). Kuvempu University. Retrieved from http://shodhganga.inflibnet.ac.in/handle/10603/25143

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):

Karunakara, K. “Some contributions to the study of pattern recognition;.” 2014. Thesis, Kuvempu University. Accessed February 27, 2021. http://shodhganga.inflibnet.ac.in/handle/10603/25143.

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

MLA Handbook (7th Edition):

Karunakara, K. “Some contributions to the study of pattern recognition;.” 2014. Web. 27 Feb 2021.

Vancouver:

Karunakara K. Some contributions to the study of pattern recognition;. [Internet] [Thesis]. Kuvempu University; 2014. [cited 2021 Feb 27]. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25143.

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

Council of Science Editors:

Karunakara K. Some contributions to the study of pattern recognition;. [Thesis]. Kuvempu University; 2014. Available from: http://shodhganga.inflibnet.ac.in/handle/10603/25143

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


Penn State University

5. Lidstone, Stephanie Ann. Modeling and Analysis of Complex Manufacturing Systems – Application of Data Visualization and Pattern Recognition Techniques .

Degree: 2012, Penn State University

 Complex manufacturing systems can be challenging to analyze and improve. The intricate nature of these systems makes it difficult to anticipate how modifications in one… (more)

Subjects/Keywords: data visualization; manufacturing; pattern recognition

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

APA (6th Edition):

Lidstone, S. A. (2012). Modeling and Analysis of Complex Manufacturing Systems – Application of Data Visualization and Pattern Recognition Techniques . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/13827

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):

Lidstone, Stephanie Ann. “Modeling and Analysis of Complex Manufacturing Systems – Application of Data Visualization and Pattern Recognition Techniques .” 2012. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/13827.

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

MLA Handbook (7th Edition):

Lidstone, Stephanie Ann. “Modeling and Analysis of Complex Manufacturing Systems – Application of Data Visualization and Pattern Recognition Techniques .” 2012. Web. 27 Feb 2021.

Vancouver:

Lidstone SA. Modeling and Analysis of Complex Manufacturing Systems – Application of Data Visualization and Pattern Recognition Techniques . [Internet] [Thesis]. Penn State University; 2012. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/13827.

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

Council of Science Editors:

Lidstone SA. Modeling and Analysis of Complex Manufacturing Systems – Application of Data Visualization and Pattern Recognition Techniques . [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/13827

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


University of Saskatchewan

6. Yu, Zexi 1989-. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.

Degree: 2016, University of Saskatchewan

 Positron emission tomography (PET)-Computed tomography (CT) plays an important role in cancer management. As a multi-modal imaging technique it provides both functional and anatomical information… (more)

Subjects/Keywords: Pattern Recognition; Medical Image Processing

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APA (6th Edition):

Yu, Z. 1. (2016). Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/7624

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):

Yu, Zexi 1989-. “Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.” 2016. Thesis, University of Saskatchewan. Accessed February 27, 2021. http://hdl.handle.net/10388/7624.

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

MLA Handbook (7th Edition):

Yu, Zexi 1989-. “Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images.” 2016. Web. 27 Feb 2021.

Vancouver:

Yu Z1. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. [Internet] [Thesis]. University of Saskatchewan; 2016. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10388/7624.

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

Council of Science Editors:

Yu Z1. Co-Segmentation Methods for Improving Tumor Target Delineation in PET-CT Images. [Thesis]. University of Saskatchewan; 2016. Available from: http://hdl.handle.net/10388/7624

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


University of Newcastle

7. Miller, Peter. Pattern recognition is a clinical reasoning process in musculoskeletal physiotherapy.

Degree: 2009, University of Newcastle

Masters Research - Master of Medical Science

Pattern recognition is a non-analytical clinical reasoning process which has been reported in the medical and allied health… (more)

Subjects/Keywords: pattern recognition; clinical reasoning; physiotherapy

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APA (6th Edition):

Miller, P. (2009). Pattern recognition is a clinical reasoning process in musculoskeletal physiotherapy. (Thesis). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/44629

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):

Miller, Peter. “Pattern recognition is a clinical reasoning process in musculoskeletal physiotherapy.” 2009. Thesis, University of Newcastle. Accessed February 27, 2021. http://hdl.handle.net/1959.13/44629.

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

MLA Handbook (7th Edition):

Miller, Peter. “Pattern recognition is a clinical reasoning process in musculoskeletal physiotherapy.” 2009. Web. 27 Feb 2021.

Vancouver:

Miller P. Pattern recognition is a clinical reasoning process in musculoskeletal physiotherapy. [Internet] [Thesis]. University of Newcastle; 2009. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1959.13/44629.

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

Council of Science Editors:

Miller P. Pattern recognition is a clinical reasoning process in musculoskeletal physiotherapy. [Thesis]. University of Newcastle; 2009. Available from: http://hdl.handle.net/1959.13/44629

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


University of Windsor

8. Talaei, Amir Javid. Pattern Recognition Using Spiking Neural Networks.

Degree: MA, Electrical and Computer Engineering, 2020, University of Windsor

 Deep learning believed to be a promising approach for solving specific problems in the field of artificial intelligence whenever a large amount of data and… (more)

Subjects/Keywords: Pattern Recognition; Spiking Neural Networks

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APA (6th Edition):

Talaei, A. J. (2020). Pattern Recognition Using Spiking Neural Networks. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/8402

Chicago Manual of Style (16th Edition):

Talaei, Amir Javid. “Pattern Recognition Using Spiking Neural Networks.” 2020. Masters Thesis, University of Windsor. Accessed February 27, 2021. https://scholar.uwindsor.ca/etd/8402.

MLA Handbook (7th Edition):

Talaei, Amir Javid. “Pattern Recognition Using Spiking Neural Networks.” 2020. Web. 27 Feb 2021.

Vancouver:

Talaei AJ. Pattern Recognition Using Spiking Neural Networks. [Internet] [Masters thesis]. University of Windsor; 2020. [cited 2021 Feb 27]. Available from: https://scholar.uwindsor.ca/etd/8402.

Council of Science Editors:

Talaei AJ. Pattern Recognition Using Spiking Neural Networks. [Masters Thesis]. University of Windsor; 2020. Available from: https://scholar.uwindsor.ca/etd/8402


University of Cape Town

9. Goss, Ryan Gavin. APIC: A method for automated pattern identification and classification.

Degree: Image, Computer Science, 2017, University of Cape Town

 Machine Learning (ML) is a transformative technology at the forefront of many modern research endeavours. The technology is generating a tremendous amount of attention from… (more)

Subjects/Keywords: Pattern Recognition; Machine Learning

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APA (6th Edition):

Goss, R. G. (2017). APIC: A method for automated pattern identification and classification. (Thesis). University of Cape Town. Retrieved from http://hdl.handle.net/11427/27025

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):

Goss, Ryan Gavin. “APIC: A method for automated pattern identification and classification.” 2017. Thesis, University of Cape Town. Accessed February 27, 2021. http://hdl.handle.net/11427/27025.

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

MLA Handbook (7th Edition):

Goss, Ryan Gavin. “APIC: A method for automated pattern identification and classification.” 2017. Web. 27 Feb 2021.

Vancouver:

Goss RG. APIC: A method for automated pattern identification and classification. [Internet] [Thesis]. University of Cape Town; 2017. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/11427/27025.

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

Council of Science Editors:

Goss RG. APIC: A method for automated pattern identification and classification. [Thesis]. University of Cape Town; 2017. Available from: http://hdl.handle.net/11427/27025

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


Loughborough University

10. Adam, Mohamad Z. Unfamiliar facial identity registration and recognition performance enhancement.

Degree: PhD, 2013, Loughborough University

 The work in this thesis aims at studying the problems related to the robustness of a face recognition system where specific attention is given to… (more)

Subjects/Keywords: 006.4; Pattern recognition; Image understanding

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APA (6th Edition):

Adam, M. Z. (2013). Unfamiliar facial identity registration and recognition performance enhancement. (Doctoral Dissertation). Loughborough University. Retrieved from http://hdl.handle.net/2134/11431

Chicago Manual of Style (16th Edition):

Adam, Mohamad Z. “Unfamiliar facial identity registration and recognition performance enhancement.” 2013. Doctoral Dissertation, Loughborough University. Accessed February 27, 2021. http://hdl.handle.net/2134/11431.

MLA Handbook (7th Edition):

Adam, Mohamad Z. “Unfamiliar facial identity registration and recognition performance enhancement.” 2013. Web. 27 Feb 2021.

Vancouver:

Adam MZ. Unfamiliar facial identity registration and recognition performance enhancement. [Internet] [Doctoral dissertation]. Loughborough University; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2134/11431.

Council of Science Editors:

Adam MZ. Unfamiliar facial identity registration and recognition performance enhancement. [Doctoral Dissertation]. Loughborough University; 2013. Available from: http://hdl.handle.net/2134/11431


University of New South Wales

11. Xi, Kai. Biometric Security System Design: From Mobile to Cloud Computing Environment.

Degree: Engineering & Information Technology Canberra, 2012, University of New South Wales

 Worldwide adoption of mobile products and cloud computing services not only continues, but is accelerating. Biometric security technology shows promising in addressing the issue of… (more)

Subjects/Keywords: Pattern recognition; Biometrics; Information security

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APA (6th Edition):

Xi, K. (2012). Biometric Security System Design: From Mobile to Cloud Computing Environment. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/52179 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10849/SOURCE01?view=true

Chicago Manual of Style (16th Edition):

Xi, Kai. “Biometric Security System Design: From Mobile to Cloud Computing Environment.” 2012. Doctoral Dissertation, University of New South Wales. Accessed February 27, 2021. http://handle.unsw.edu.au/1959.4/52179 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10849/SOURCE01?view=true.

MLA Handbook (7th Edition):

Xi, Kai. “Biometric Security System Design: From Mobile to Cloud Computing Environment.” 2012. Web. 27 Feb 2021.

Vancouver:

Xi K. Biometric Security System Design: From Mobile to Cloud Computing Environment. [Internet] [Doctoral dissertation]. University of New South Wales; 2012. [cited 2021 Feb 27]. Available from: http://handle.unsw.edu.au/1959.4/52179 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10849/SOURCE01?view=true.

Council of Science Editors:

Xi K. Biometric Security System Design: From Mobile to Cloud Computing Environment. [Doctoral Dissertation]. University of New South Wales; 2012. Available from: http://handle.unsw.edu.au/1959.4/52179 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:10849/SOURCE01?view=true


Rutgers University

12. Liu, Chuanren. Sequential pattern analysis in dynamic business environments.

Degree: PhD, Management, 2015, Rutgers University

Sequential pattern analysis targets on finding statistically relevant temporal structures where the values are delivered in sequences. This is a fundamental problem in data mining… (more)

Subjects/Keywords: Data mining; Pattern recognition systems

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APA (6th Edition):

Liu, C. (2015). Sequential pattern analysis in dynamic business environments. (Doctoral Dissertation). Rutgers University. Retrieved from https://rucore.libraries.rutgers.edu/rutgers-lib/47695/

Chicago Manual of Style (16th Edition):

Liu, Chuanren. “Sequential pattern analysis in dynamic business environments.” 2015. Doctoral Dissertation, Rutgers University. Accessed February 27, 2021. https://rucore.libraries.rutgers.edu/rutgers-lib/47695/.

MLA Handbook (7th Edition):

Liu, Chuanren. “Sequential pattern analysis in dynamic business environments.” 2015. Web. 27 Feb 2021.

Vancouver:

Liu C. Sequential pattern analysis in dynamic business environments. [Internet] [Doctoral dissertation]. Rutgers University; 2015. [cited 2021 Feb 27]. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47695/.

Council of Science Editors:

Liu C. Sequential pattern analysis in dynamic business environments. [Doctoral Dissertation]. Rutgers University; 2015. Available from: https://rucore.libraries.rutgers.edu/rutgers-lib/47695/


Oregon State University

13. Zhang, Wei. Image features and learning algorithms for biological, generic and social object recognition.

Degree: PhD, Electrical and Computer Engineering, 2009, Oregon State University

 Automated recognition of object categories in images is a critical step for many real-world computer vision applications. Interest region detectors and region descriptors have been… (more)

Subjects/Keywords: object recognition; Optical pattern recognition  – Mathematical models

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APA (6th Edition):

Zhang, W. (2009). Image features and learning algorithms for biological, generic and social object recognition. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/11178

Chicago Manual of Style (16th Edition):

Zhang, Wei. “Image features and learning algorithms for biological, generic and social object recognition.” 2009. Doctoral Dissertation, Oregon State University. Accessed February 27, 2021. http://hdl.handle.net/1957/11178.

MLA Handbook (7th Edition):

Zhang, Wei. “Image features and learning algorithms for biological, generic and social object recognition.” 2009. Web. 27 Feb 2021.

Vancouver:

Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Internet] [Doctoral dissertation]. Oregon State University; 2009. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1957/11178.

Council of Science Editors:

Zhang W. Image features and learning algorithms for biological, generic and social object recognition. [Doctoral Dissertation]. Oregon State University; 2009. Available from: http://hdl.handle.net/1957/11178


North Carolina State University

14. Miao, Shun. 3D face recognition from range images.

Degree: MS, Electrical Engineering, 2010, North Carolina State University

 In this thesis, we explore the statistical and geometrical behavior of uncontrolled parameters of human face, including both rigid transform caused by head pose and… (more)

Subjects/Keywords: geodesic; segmentation; face recognition; pattern recognition

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APA (6th Edition):

Miao, S. (2010). 3D face recognition from range images. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/6295

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):

Miao, Shun. “3D face recognition from range images.” 2010. Thesis, North Carolina State University. Accessed February 27, 2021. http://www.lib.ncsu.edu/resolver/1840.16/6295.

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

MLA Handbook (7th Edition):

Miao, Shun. “3D face recognition from range images.” 2010. Web. 27 Feb 2021.

Vancouver:

Miao S. 3D face recognition from range images. [Internet] [Thesis]. North Carolina State University; 2010. [cited 2021 Feb 27]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/6295.

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

Council of Science Editors:

Miao S. 3D face recognition from range images. [Thesis]. North Carolina State University; 2010. Available from: http://www.lib.ncsu.edu/resolver/1840.16/6295

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


Virginia Tech

15. Saha, Deba Pratim. Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals.

Degree: MS, Electrical and Computer Engineering, 2013, Virginia Tech

 Finger gesture recognition using glove-like interfaces are very accurate for sensing individual finger positions by employing a gamut of sensors. However, for the same reason,… (more)

Subjects/Keywords: Gesture Recognition; Wearable Joystick; Mechanomyography; Pattern Recognition

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APA (6th Edition):

Saha, D. P. (2013). Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals. (Masters Thesis). Virginia Tech. Retrieved from http://hdl.handle.net/10919/78044

Chicago Manual of Style (16th Edition):

Saha, Deba Pratim. “Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals.” 2013. Masters Thesis, Virginia Tech. Accessed February 27, 2021. http://hdl.handle.net/10919/78044.

MLA Handbook (7th Edition):

Saha, Deba Pratim. “Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals.” 2013. Web. 27 Feb 2021.

Vancouver:

Saha DP. Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals. [Internet] [Masters thesis]. Virginia Tech; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10919/78044.

Council of Science Editors:

Saha DP. Design of a Wearable Two-Dimensional Joystick as a Muscle-Machine Interface Using Mechanomyographic Signals. [Masters Thesis]. Virginia Tech; 2013. Available from: http://hdl.handle.net/10919/78044


Oregon State University

16. You, Zeyu. A statistical inference framework for finding recurring patterns in large data with applications to energy management.

Degree: MS, Electrical and Computer Engineering, 2014, Oregon State University

 We consider the problem of finding unknown patterns that are recurring across multiple sets. For example, finding multiple objects that are present in multiple images… (more)

Subjects/Keywords: recurring pattern recognition; Pattern recognition systems  – Mathematical models

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

APA (6th Edition):

You, Z. (2014). A statistical inference framework for finding recurring patterns in large data with applications to energy management. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/50023

Chicago Manual of Style (16th Edition):

You, Zeyu. “A statistical inference framework for finding recurring patterns in large data with applications to energy management.” 2014. Masters Thesis, Oregon State University. Accessed February 27, 2021. http://hdl.handle.net/1957/50023.

MLA Handbook (7th Edition):

You, Zeyu. “A statistical inference framework for finding recurring patterns in large data with applications to energy management.” 2014. Web. 27 Feb 2021.

Vancouver:

You Z. A statistical inference framework for finding recurring patterns in large data with applications to energy management. [Internet] [Masters thesis]. Oregon State University; 2014. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1957/50023.

Council of Science Editors:

You Z. A statistical inference framework for finding recurring patterns in large data with applications to energy management. [Masters Thesis]. Oregon State University; 2014. Available from: http://hdl.handle.net/1957/50023


Portland State University

17. Sharma, Karan. The Link Between Image Segmentation and Image Recognition.

Degree: MS(M.S.) in Computer Science, Computer Science, 2012, Portland State University

  A long standing debate in computer vision community concerns the link between segmentation and recognition. The question I am trying to answer here is,… (more)

Subjects/Keywords: Image segmentation; Scalability; Recognition algorithms; Computer vision; Pattern recognition systems; Image processing; Optical pattern recognition

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APA (6th Edition):

Sharma, K. (2012). The Link Between Image Segmentation and Image Recognition. (Masters Thesis). Portland State University. Retrieved from https://pdxscholar.library.pdx.edu/open_access_etds/199

Chicago Manual of Style (16th Edition):

Sharma, Karan. “The Link Between Image Segmentation and Image Recognition.” 2012. Masters Thesis, Portland State University. Accessed February 27, 2021. https://pdxscholar.library.pdx.edu/open_access_etds/199.

MLA Handbook (7th Edition):

Sharma, Karan. “The Link Between Image Segmentation and Image Recognition.” 2012. Web. 27 Feb 2021.

Vancouver:

Sharma K. The Link Between Image Segmentation and Image Recognition. [Internet] [Masters thesis]. Portland State University; 2012. [cited 2021 Feb 27]. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/199.

Council of Science Editors:

Sharma K. The Link Between Image Segmentation and Image Recognition. [Masters Thesis]. Portland State University; 2012. Available from: https://pdxscholar.library.pdx.edu/open_access_etds/199


Ryerson University

18. Vo, Luan. Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models.

Degree: 2012, Ryerson University

 This thesis applies the time-varying signal processing models to track the multifactor systematic risk in the Fama-French model. The mean reverting, random walk and random… (more)

Subjects/Keywords: Image processing  – Digital techniques; Optical pattern recognition

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APA (6th Edition):

Vo, L. (2012). Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models. (Thesis). Ryerson University. Retrieved from https://digital.library.ryerson.ca/islandora/object/RULA%3A2178

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):

Vo, Luan. “Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models.” 2012. Thesis, Ryerson University. Accessed February 27, 2021. https://digital.library.ryerson.ca/islandora/object/RULA%3A2178.

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

MLA Handbook (7th Edition):

Vo, Luan. “Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models.” 2012. Web. 27 Feb 2021.

Vancouver:

Vo L. Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models. [Internet] [Thesis]. Ryerson University; 2012. [cited 2021 Feb 27]. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2178.

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

Council of Science Editors:

Vo L. Multifactor Systematic Risk Analysis Based on Time-varying Signal Processing Models. [Thesis]. Ryerson University; 2012. Available from: https://digital.library.ryerson.ca/islandora/object/RULA%3A2178

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


Oregon State University

19. Bibby, Michael C. Special associative preprocessing structures for qualitative feature extraction.

Degree: MS, Electrical and Computer Engineering, 1986, Oregon State University

 Existing pattern recognition and classification algorithms in computer vision require vast amounts of computations on input data. As a result, memory access time is a… (more)

Subjects/Keywords: Pattern recognition systems

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

APA (6th Edition):

Bibby, M. C. (1986). Special associative preprocessing structures for qualitative feature extraction. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39899

Chicago Manual of Style (16th Edition):

Bibby, Michael C. “Special associative preprocessing structures for qualitative feature extraction.” 1986. Masters Thesis, Oregon State University. Accessed February 27, 2021. http://hdl.handle.net/1957/39899.

MLA Handbook (7th Edition):

Bibby, Michael C. “Special associative preprocessing structures for qualitative feature extraction.” 1986. Web. 27 Feb 2021.

Vancouver:

Bibby MC. Special associative preprocessing structures for qualitative feature extraction. [Internet] [Masters thesis]. Oregon State University; 1986. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1957/39899.

Council of Science Editors:

Bibby MC. Special associative preprocessing structures for qualitative feature extraction. [Masters Thesis]. Oregon State University; 1986. Available from: http://hdl.handle.net/1957/39899


Oregon State University

20. Levine, Barry Arthur. The automated inference of tree system.

Degree: PhD, Computer Science, 1979, Oregon State University

 Tree systems are used in syntactic pattern recognition for describing two-dimensional patterns. We extend results on tree automata with the introduction of the subtree-invariant equivalence… (more)

Subjects/Keywords: Pattern recognition systems

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APA (6th Edition):

Levine, B. A. (1979). The automated inference of tree system. (Doctoral Dissertation). Oregon State University. Retrieved from http://hdl.handle.net/1957/43116

Chicago Manual of Style (16th Edition):

Levine, Barry Arthur. “The automated inference of tree system.” 1979. Doctoral Dissertation, Oregon State University. Accessed February 27, 2021. http://hdl.handle.net/1957/43116.

MLA Handbook (7th Edition):

Levine, Barry Arthur. “The automated inference of tree system.” 1979. Web. 27 Feb 2021.

Vancouver:

Levine BA. The automated inference of tree system. [Internet] [Doctoral dissertation]. Oregon State University; 1979. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1957/43116.

Council of Science Editors:

Levine BA. The automated inference of tree system. [Doctoral Dissertation]. Oregon State University; 1979. Available from: http://hdl.handle.net/1957/43116


Penn State University

21. Wen, Yicheng. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach .

Degree: 2011, Penn State University

 This dissertation presents a framework for feature-level heterogeneous sensor data fusion in sensor networks via a language-theoretic approach. Probabilistic finite state automata (PFSA) are used… (more)

Subjects/Keywords: wireless sensor network; pattern recognition; Information fusion

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

APA (6th Edition):

Wen, Y. (2011). Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12213

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):

Wen, Yicheng. “Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach .” 2011. Thesis, Penn State University. Accessed February 27, 2021. https://submit-etda.libraries.psu.edu/catalog/12213.

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

MLA Handbook (7th Edition):

Wen, Yicheng. “Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach .” 2011. Web. 27 Feb 2021.

Vancouver:

Wen Y. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach . [Internet] [Thesis]. Penn State University; 2011. [cited 2021 Feb 27]. Available from: https://submit-etda.libraries.psu.edu/catalog/12213.

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

Council of Science Editors:

Wen Y. Heterogeneous Sensor Fusion in Sensor Networks: A Language-theoretic Approach . [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12213

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


University of Johannesburg

22. Findlay, Peter. Intelligent system for automated components recognition and handling.

Degree: 2012, University of Johannesburg

M.Ing.

A machine vision system must, by definition, be intelligent, adaptable and reliable to satisfY the objectives of a system that is highly interactive with… (more)

Subjects/Keywords: Computer vision; Artificial intelligence; Pattern recognition systems

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

APA (6th Edition):

Findlay, P. (2012). Intelligent system for automated components recognition and handling. (Thesis). University of Johannesburg. Retrieved from http://hdl.handle.net/10210/4365

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):

Findlay, Peter. “Intelligent system for automated components recognition and handling.” 2012. Thesis, University of Johannesburg. Accessed February 27, 2021. http://hdl.handle.net/10210/4365.

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

MLA Handbook (7th Edition):

Findlay, Peter. “Intelligent system for automated components recognition and handling.” 2012. Web. 27 Feb 2021.

Vancouver:

Findlay P. Intelligent system for automated components recognition and handling. [Internet] [Thesis]. University of Johannesburg; 2012. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10210/4365.

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

Council of Science Editors:

Findlay P. Intelligent system for automated components recognition and handling. [Thesis]. University of Johannesburg; 2012. Available from: http://hdl.handle.net/10210/4365

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


Boston University

23. Wang, Joseph. Local learning by partitioning.

Degree: PhD, Electrical & Computer Engineering, 2015, Boston University

 In many machine learning applications data is assumed to be locally simple, where examples near each other have similar characteristics such as class labels or… (more)

Subjects/Keywords: Electrical engineering; Machine learning; Pattern recognition

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APA (6th Edition):

Wang, J. (2015). Local learning by partitioning. (Doctoral Dissertation). Boston University. Retrieved from http://hdl.handle.net/2144/15204

Chicago Manual of Style (16th Edition):

Wang, Joseph. “Local learning by partitioning.” 2015. Doctoral Dissertation, Boston University. Accessed February 27, 2021. http://hdl.handle.net/2144/15204.

MLA Handbook (7th Edition):

Wang, Joseph. “Local learning by partitioning.” 2015. Web. 27 Feb 2021.

Vancouver:

Wang J. Local learning by partitioning. [Internet] [Doctoral dissertation]. Boston University; 2015. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2144/15204.

Council of Science Editors:

Wang J. Local learning by partitioning. [Doctoral Dissertation]. Boston University; 2015. Available from: http://hdl.handle.net/2144/15204


University of Southern Queensland

24. Hu, Hong. Accurate and robust algorithms for microarray data classification.

Degree: 2008, University of Southern Queensland

 [Abstract]Microarray data classification is used primarily to predict unseen data using a model built on categorized existing Microarray data. One of the major challenges is… (more)

Subjects/Keywords: 280207 Pattern Recognition

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APA (6th Edition):

Hu, H. (2008). Accurate and robust algorithms for microarray data classification. (Thesis). University of Southern Queensland. Retrieved from http://eprints.usq.edu.au/6221/1/Hu_2008_front.pdf ; http://eprints.usq.edu.au/6221/2/Hu_2008_whole.pdf

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, Hong. “Accurate and robust algorithms for microarray data classification.” 2008. Thesis, University of Southern Queensland. Accessed February 27, 2021. http://eprints.usq.edu.au/6221/1/Hu_2008_front.pdf ; http://eprints.usq.edu.au/6221/2/Hu_2008_whole.pdf.

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

MLA Handbook (7th Edition):

Hu, Hong. “Accurate and robust algorithms for microarray data classification.” 2008. Web. 27 Feb 2021.

Vancouver:

Hu H. Accurate and robust algorithms for microarray data classification. [Internet] [Thesis]. University of Southern Queensland; 2008. [cited 2021 Feb 27]. Available from: http://eprints.usq.edu.au/6221/1/Hu_2008_front.pdf ; http://eprints.usq.edu.au/6221/2/Hu_2008_whole.pdf.

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

Council of Science Editors:

Hu H. Accurate and robust algorithms for microarray data classification. [Thesis]. University of Southern Queensland; 2008. Available from: http://eprints.usq.edu.au/6221/1/Hu_2008_front.pdf ; http://eprints.usq.edu.au/6221/2/Hu_2008_whole.pdf

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


Oregon State University

25. Jiang, Jin. The architecture and design of a neural network classifier.

Degree: MS, Electrical and Computer Engineering, 1990, Oregon State University

 The objective of this thesis is to present the architecture and design of a neural network-based pattern classifier. The classifier detects textual characters which have… (more)

Subjects/Keywords: Pattern recognition systems

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APA (6th Edition):

Jiang, J. (1990). The architecture and design of a neural network classifier. (Masters Thesis). Oregon State University. Retrieved from http://hdl.handle.net/1957/39875

Chicago Manual of Style (16th Edition):

Jiang, Jin. “The architecture and design of a neural network classifier.” 1990. Masters Thesis, Oregon State University. Accessed February 27, 2021. http://hdl.handle.net/1957/39875.

MLA Handbook (7th Edition):

Jiang, Jin. “The architecture and design of a neural network classifier.” 1990. Web. 27 Feb 2021.

Vancouver:

Jiang J. The architecture and design of a neural network classifier. [Internet] [Masters thesis]. Oregon State University; 1990. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1957/39875.

Council of Science Editors:

Jiang J. The architecture and design of a neural network classifier. [Masters Thesis]. Oregon State University; 1990. Available from: http://hdl.handle.net/1957/39875


Baylor University

26. -1697-5430. Semi-supervised learning for electrocardiography signal classification.

Degree: M.S.E.C.E., Baylor University. Dept. of Electrical & Computer Engineering., 2018, Baylor University

 An electrocardiogram (ECG) is a cardiology test that provides information about the structure and function of the heart. The size of the ECG data collected… (more)

Subjects/Keywords: Semi-supervised learning; Electrocardiography; pattern recognition

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APA (6th Edition):

-1697-5430. (2018). Semi-supervised learning for electrocardiography signal classification. (Masters Thesis). Baylor University. Retrieved from http://hdl.handle.net/2104/10391

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

Chicago Manual of Style (16th Edition):

-1697-5430. “Semi-supervised learning for electrocardiography signal classification.” 2018. Masters Thesis, Baylor University. Accessed February 27, 2021. http://hdl.handle.net/2104/10391.

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

MLA Handbook (7th Edition):

-1697-5430. “Semi-supervised learning for electrocardiography signal classification.” 2018. Web. 27 Feb 2021.

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

Vancouver:

-1697-5430. Semi-supervised learning for electrocardiography signal classification. [Internet] [Masters thesis]. Baylor University; 2018. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2104/10391.

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

Council of Science Editors:

-1697-5430. Semi-supervised learning for electrocardiography signal classification. [Masters Thesis]. Baylor University; 2018. Available from: http://hdl.handle.net/2104/10391

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


Open Universiteit Nederland

27. Leroux-Andriessen, Malou. Het Conceptueel Ontwerp van een Serious Game voor Studenten Fysiotherapie om Patroonherkenning te Verbeteren Tijdens het Anamnese-Interview.

Degree: Master, Welten Institute, 2019, Open Universiteit Nederland

 Effective doctor-patient communication is a central component in the delivery of healthcare. To direct an efficient and patient centred anamnesis interview, physiotherapy students use the… (more)

Subjects/Keywords: conceptual design; serious game; anamnesis; pattern recognition

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APA (6th Edition):

Leroux-Andriessen, M. (2019). Het Conceptueel Ontwerp van een Serious Game voor Studenten Fysiotherapie om Patroonherkenning te Verbeteren Tijdens het Anamnese-Interview. (Masters Thesis). Open Universiteit Nederland. Retrieved from http://hdl.handle.net/1820/87d6f360-b299-42fa-a8bf-d7ccecbb6269

Chicago Manual of Style (16th Edition):

Leroux-Andriessen, Malou. “Het Conceptueel Ontwerp van een Serious Game voor Studenten Fysiotherapie om Patroonherkenning te Verbeteren Tijdens het Anamnese-Interview.” 2019. Masters Thesis, Open Universiteit Nederland. Accessed February 27, 2021. http://hdl.handle.net/1820/87d6f360-b299-42fa-a8bf-d7ccecbb6269.

MLA Handbook (7th Edition):

Leroux-Andriessen, Malou. “Het Conceptueel Ontwerp van een Serious Game voor Studenten Fysiotherapie om Patroonherkenning te Verbeteren Tijdens het Anamnese-Interview.” 2019. Web. 27 Feb 2021.

Vancouver:

Leroux-Andriessen M. Het Conceptueel Ontwerp van een Serious Game voor Studenten Fysiotherapie om Patroonherkenning te Verbeteren Tijdens het Anamnese-Interview. [Internet] [Masters thesis]. Open Universiteit Nederland; 2019. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/1820/87d6f360-b299-42fa-a8bf-d7ccecbb6269.

Council of Science Editors:

Leroux-Andriessen M. Het Conceptueel Ontwerp van een Serious Game voor Studenten Fysiotherapie om Patroonherkenning te Verbeteren Tijdens het Anamnese-Interview. [Masters Thesis]. Open Universiteit Nederland; 2019. Available from: http://hdl.handle.net/1820/87d6f360-b299-42fa-a8bf-d7ccecbb6269


University of Houston

28. Hoang, Son M. 1985-. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.

Degree: PhD, Computer Science, 2013, University of Houston

 The rapid development in semiconductor detector technology at CERN has provided the capability to develop an active personal dosimeter for use in space radiation environments.… (more)

Subjects/Keywords: Pattern recognition; Machine learning; Charged particle; Timepix

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APA (6th Edition):

Hoang, S. M. 1. (2013). A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/1189

Chicago Manual of Style (16th Edition):

Hoang, Son M 1985-. “A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.” 2013. Doctoral Dissertation, University of Houston. Accessed February 27, 2021. http://hdl.handle.net/10657/1189.

MLA Handbook (7th Edition):

Hoang, Son M 1985-. “A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS.” 2013. Web. 27 Feb 2021.

Vancouver:

Hoang SM1. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. [Internet] [Doctoral dissertation]. University of Houston; 2013. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/10657/1189.

Council of Science Editors:

Hoang SM1. A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS. [Doctoral Dissertation]. University of Houston; 2013. Available from: http://hdl.handle.net/10657/1189


University of Adelaide

29. Sherrah, Jamie. Automatic feature extraction for pattern recognition / by Jamie Sherrah.

Degree: 1998, University of Adelaide

Proposes a framework for automatic feature extraction called generalised pre-processor. Advisors/Committee Members: Dept. of Electrical and Electronic Engineering (school).

Subjects/Keywords: Pattern recognition system.

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APA (6th Edition):

Sherrah, J. (1998). Automatic feature extraction for pattern recognition / by Jamie Sherrah. (Thesis). University of Adelaide. Retrieved from http://hdl.handle.net/2440/19264

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):

Sherrah, Jamie. “Automatic feature extraction for pattern recognition / by Jamie Sherrah.” 1998. Thesis, University of Adelaide. Accessed February 27, 2021. http://hdl.handle.net/2440/19264.

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

MLA Handbook (7th Edition):

Sherrah, Jamie. “Automatic feature extraction for pattern recognition / by Jamie Sherrah.” 1998. Web. 27 Feb 2021.

Vancouver:

Sherrah J. Automatic feature extraction for pattern recognition / by Jamie Sherrah. [Internet] [Thesis]. University of Adelaide; 1998. [cited 2021 Feb 27]. Available from: http://hdl.handle.net/2440/19264.

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

Council of Science Editors:

Sherrah J. Automatic feature extraction for pattern recognition / by Jamie Sherrah. [Thesis]. University of Adelaide; 1998. Available from: http://hdl.handle.net/2440/19264

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


Hong Kong University of Science and Technology

30. Xiao, Xiangye. Efficient co-location pattern discovery.

Degree: 2009, Hong Kong University of Science and Technology

 Co-location pattern discovery is to find classes of objects whose associated spatial locations are frequently in proximity. For example, map search queries, which contain keywords… (more)

Subjects/Keywords: Pattern recognition systems

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APA (6th Edition):

Xiao, X. (2009). Efficient co-location pattern discovery. (Thesis). Hong Kong University of Science and Technology. Retrieved from http://repository.ust.hk/ir/Record/1783.1-6349 ; https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html

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):

Xiao, Xiangye. “Efficient co-location pattern discovery.” 2009. Thesis, Hong Kong University of Science and Technology. Accessed February 27, 2021. http://repository.ust.hk/ir/Record/1783.1-6349 ; https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html.

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

MLA Handbook (7th Edition):

Xiao, Xiangye. “Efficient co-location pattern discovery.” 2009. Web. 27 Feb 2021.

Vancouver:

Xiao X. Efficient co-location pattern discovery. [Internet] [Thesis]. Hong Kong University of Science and Technology; 2009. [cited 2021 Feb 27]. Available from: http://repository.ust.hk/ir/Record/1783.1-6349 ; https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html.

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

Council of Science Editors:

Xiao X. Efficient co-location pattern discovery. [Thesis]. Hong Kong University of Science and Technology; 2009. Available from: http://repository.ust.hk/ir/Record/1783.1-6349 ; https://doi.org/10.14711/thesis-b1070780 ; http://repository.ust.hk/ir/bitstream/1783.1-6349/1/th_redirect.html

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

[1] [2] [3] [4] [5] … [68]

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