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You searched for subject:(change detection). Showing records 1 – 30 of 507 total matches.

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1. Mayer, Brandon Asher. Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance.

Degree: PhD, Electrical Sciences and Computer Engineering, 2015, Brown University

 This thesis develops novel algorithms to automate video analysis for fixed monocular surveillance cameras. Specifically, change detection algorithms are proposed to identify spatio-temporal locations in… (more)

Subjects/Keywords: Change Detection

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

APA (6th Edition):

Mayer, B. A. (2015). Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:419461/

Chicago Manual of Style (16th Edition):

Mayer, Brandon Asher. “Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance.” 2015. Doctoral Dissertation, Brown University. Accessed March 01, 2021. https://repository.library.brown.edu/studio/item/bdr:419461/.

MLA Handbook (7th Edition):

Mayer, Brandon Asher. “Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance.” 2015. Web. 01 Mar 2021.

Vancouver:

Mayer BA. Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2021 Mar 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:419461/.

Council of Science Editors:

Mayer BA. Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance. [Doctoral Dissertation]. Brown University; 2015. Available from: https://repository.library.brown.edu/studio/item/bdr:419461/


Georgia Tech

2. Chen, Junzhuo. Spatio-temporal change-point detection and constrained Bayesian optimization.

Degree: PhD, Industrial and Systems Engineering, 2019, Georgia Tech

 This thesis makes contributions to two research topics: spatio-temporal change-point detection and constrained Bayesian optimization. Spatio-temporal change-point detection is concerned with detecting statistical anomalies based… (more)

Subjects/Keywords: Change-point detection

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APA (6th Edition):

Chen, J. (2019). Spatio-temporal change-point detection and constrained Bayesian optimization. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/61247

Chicago Manual of Style (16th Edition):

Chen, Junzhuo. “Spatio-temporal change-point detection and constrained Bayesian optimization.” 2019. Doctoral Dissertation, Georgia Tech. Accessed March 01, 2021. http://hdl.handle.net/1853/61247.

MLA Handbook (7th Edition):

Chen, Junzhuo. “Spatio-temporal change-point detection and constrained Bayesian optimization.” 2019. Web. 01 Mar 2021.

Vancouver:

Chen J. Spatio-temporal change-point detection and constrained Bayesian optimization. [Internet] [Doctoral dissertation]. Georgia Tech; 2019. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1853/61247.

Council of Science Editors:

Chen J. Spatio-temporal change-point detection and constrained Bayesian optimization. [Doctoral Dissertation]. Georgia Tech; 2019. Available from: http://hdl.handle.net/1853/61247

3. Khan, Naveed. Change detection in human physical activities.

Degree: PhD, 2018, Ulster University

 Activity Monitoring is a key feature of health and well-being assessment that has received immense consideration from the research community over the last few decades.… (more)

Subjects/Keywords: 004; Change Point Detection; Activity Detection

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APA (6th Edition):

Khan, N. (2018). Change detection in human physical activities. (Doctoral Dissertation). Ulster University. Retrieved from https://ulster.pure.elsevier.com/en/studentTheses/b7634d5b-523e-44e0-bc2c-6fe65c0748d7 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793655

Chicago Manual of Style (16th Edition):

Khan, Naveed. “Change detection in human physical activities.” 2018. Doctoral Dissertation, Ulster University. Accessed March 01, 2021. https://ulster.pure.elsevier.com/en/studentTheses/b7634d5b-523e-44e0-bc2c-6fe65c0748d7 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793655.

MLA Handbook (7th Edition):

Khan, Naveed. “Change detection in human physical activities.” 2018. Web. 01 Mar 2021.

Vancouver:

Khan N. Change detection in human physical activities. [Internet] [Doctoral dissertation]. Ulster University; 2018. [cited 2021 Mar 01]. Available from: https://ulster.pure.elsevier.com/en/studentTheses/b7634d5b-523e-44e0-bc2c-6fe65c0748d7 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793655.

Council of Science Editors:

Khan N. Change detection in human physical activities. [Doctoral Dissertation]. Ulster University; 2018. Available from: https://ulster.pure.elsevier.com/en/studentTheses/b7634d5b-523e-44e0-bc2c-6fe65c0748d7 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.793655


University of Saskatchewan

4. Qiao, Ning 1987-. Long-term Prairie Wetlands Extraction and Change Detection with Multi-spatial and Multi-temporal Remote Sensing Data.

Degree: 2018, University of Saskatchewan

 Prairie wetlands, also called “potholes”, provide both ecological and hydrological functions and have experienced dramatic change over the past century. This research aims to: 1)… (more)

Subjects/Keywords: prairie wetland; classification; change detection

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APA (6th Edition):

Qiao, N. 1. (2018). Long-term Prairie Wetlands Extraction and Change Detection with Multi-spatial and Multi-temporal Remote Sensing Data. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/8518

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):

Qiao, Ning 1987-. “Long-term Prairie Wetlands Extraction and Change Detection with Multi-spatial and Multi-temporal Remote Sensing Data.” 2018. Thesis, University of Saskatchewan. Accessed March 01, 2021. http://hdl.handle.net/10388/8518.

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

MLA Handbook (7th Edition):

Qiao, Ning 1987-. “Long-term Prairie Wetlands Extraction and Change Detection with Multi-spatial and Multi-temporal Remote Sensing Data.” 2018. Web. 01 Mar 2021.

Vancouver:

Qiao N1. Long-term Prairie Wetlands Extraction and Change Detection with Multi-spatial and Multi-temporal Remote Sensing Data. [Internet] [Thesis]. University of Saskatchewan; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10388/8518.

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

Council of Science Editors:

Qiao N1. Long-term Prairie Wetlands Extraction and Change Detection with Multi-spatial and Multi-temporal Remote Sensing Data. [Thesis]. University of Saskatchewan; 2018. Available from: http://hdl.handle.net/10388/8518

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


University of Waterloo

5. Shang, Chen. Land cover change analysis of Big Creek conservation area with satellite remote sensing.

Degree: 2013, University of Waterloo

 Due to the relatively complex land cover configuration and a series of significant ecological implications, the issue of land cover changes in the Big Creek… (more)

Subjects/Keywords: Change detection; Big Creek area

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APA (6th Edition):

Shang, C. (2013). Land cover change analysis of Big Creek conservation area with satellite remote sensing. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/7710

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):

Shang, Chen. “Land cover change analysis of Big Creek conservation area with satellite remote sensing.” 2013. Thesis, University of Waterloo. Accessed March 01, 2021. http://hdl.handle.net/10012/7710.

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

MLA Handbook (7th Edition):

Shang, Chen. “Land cover change analysis of Big Creek conservation area with satellite remote sensing.” 2013. Web. 01 Mar 2021.

Vancouver:

Shang C. Land cover change analysis of Big Creek conservation area with satellite remote sensing. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10012/7710.

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

Council of Science Editors:

Shang C. Land cover change analysis of Big Creek conservation area with satellite remote sensing. [Thesis]. University of Waterloo; 2013. Available from: http://hdl.handle.net/10012/7710

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

6. Pollard, Thomas B. Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling.

Degree: PhD, Applied Mathematics, 2008, Brown University

 The problem of detecting changes in images taken by a stationary camera has been well studied and many algorithms now exist which perform robustly in… (more)

Subjects/Keywords: change detection

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

APA (6th Edition):

Pollard, T. B. (2008). Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling. (Doctoral Dissertation). Brown University. Retrieved from https://repository.library.brown.edu/studio/item/bdr:27/

Chicago Manual of Style (16th Edition):

Pollard, Thomas B. “Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling.” 2008. Doctoral Dissertation, Brown University. Accessed March 01, 2021. https://repository.library.brown.edu/studio/item/bdr:27/.

MLA Handbook (7th Edition):

Pollard, Thomas B. “Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling.” 2008. Web. 01 Mar 2021.

Vancouver:

Pollard TB. Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling. [Internet] [Doctoral dissertation]. Brown University; 2008. [cited 2021 Mar 01]. Available from: https://repository.library.brown.edu/studio/item/bdr:27/.

Council of Science Editors:

Pollard TB. Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling. [Doctoral Dissertation]. Brown University; 2008. Available from: https://repository.library.brown.edu/studio/item/bdr:27/


Delft University of Technology

7. Scherpenisse, Brendan (author). Detection of multi-transitional abrupt changes in SAR time series.

Degree: 2018, Delft University of Technology

Repeat-pass acquisitions with coherent Synthetic Aperture Radar (SAR) systems, preserving both phase and amplitude, are more readily available than ever (Bruzzone, 2016). Phase measurements from… (more)

Subjects/Keywords: radar; SAR; change detection

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APA (6th Edition):

Scherpenisse, B. (. (2018). Detection of multi-transitional abrupt changes in SAR time series. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:8266b17f-7383-4fa3-a0e6-77d0f31abc0d

Chicago Manual of Style (16th Edition):

Scherpenisse, Brendan (author). “Detection of multi-transitional abrupt changes in SAR time series.” 2018. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:8266b17f-7383-4fa3-a0e6-77d0f31abc0d.

MLA Handbook (7th Edition):

Scherpenisse, Brendan (author). “Detection of multi-transitional abrupt changes in SAR time series.” 2018. Web. 01 Mar 2021.

Vancouver:

Scherpenisse B(. Detection of multi-transitional abrupt changes in SAR time series. [Internet] [Masters thesis]. Delft University of Technology; 2018. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:8266b17f-7383-4fa3-a0e6-77d0f31abc0d.

Council of Science Editors:

Scherpenisse B(. Detection of multi-transitional abrupt changes in SAR time series. [Masters Thesis]. Delft University of Technology; 2018. Available from: http://resolver.tudelft.nl/uuid:8266b17f-7383-4fa3-a0e6-77d0f31abc0d


University of North Texas

8. Yigit, Aykut. Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada.

Degree: 2016, University of North Texas

Change detection is amongst the most effective critical examination methods used in remote sensing technology. In this research, new methods are proposed for building and… (more)

Subjects/Keywords: LiDAR; change detection; GIS

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APA (6th Edition):

Yigit, A. (2016). Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc955122/

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):

Yigit, Aykut. “Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada.” 2016. Thesis, University of North Texas. Accessed March 01, 2021. https://digital.library.unt.edu/ark:/67531/metadc955122/.

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

MLA Handbook (7th Edition):

Yigit, Aykut. “Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada.” 2016. Web. 01 Mar 2021.

Vancouver:

Yigit A. Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada. [Internet] [Thesis]. University of North Texas; 2016. [cited 2021 Mar 01]. Available from: https://digital.library.unt.edu/ark:/67531/metadc955122/.

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

Council of Science Editors:

Yigit A. Parcel-Based Change Detection Using Multi-Temporal LiDAR Data in the City of Surrey, British Columbia, Canada. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc955122/

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


University of Leicester

9. Tewkesbury, Andrew P. A comparison of remote sensing change detection methods for urban creep identification in Norwich.

Degree: PhD, 2019, University of Leicester

Change detection is one of the most active research areas in remote sensing, driven by the desire to monitor the highly dynamic world around us.… (more)

Subjects/Keywords: remote sensing; Norwich; Change detection

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APA (6th Edition):

Tewkesbury, A. P. (2019). A comparison of remote sensing change detection methods for urban creep identification in Norwich. (Doctoral Dissertation). University of Leicester. Retrieved from https://doi.org/10.25392/leicester.data.10291982.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794099

Chicago Manual of Style (16th Edition):

Tewkesbury, Andrew P. “A comparison of remote sensing change detection methods for urban creep identification in Norwich.” 2019. Doctoral Dissertation, University of Leicester. Accessed March 01, 2021. https://doi.org/10.25392/leicester.data.10291982.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794099.

MLA Handbook (7th Edition):

Tewkesbury, Andrew P. “A comparison of remote sensing change detection methods for urban creep identification in Norwich.” 2019. Web. 01 Mar 2021.

Vancouver:

Tewkesbury AP. A comparison of remote sensing change detection methods for urban creep identification in Norwich. [Internet] [Doctoral dissertation]. University of Leicester; 2019. [cited 2021 Mar 01]. Available from: https://doi.org/10.25392/leicester.data.10291982.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794099.

Council of Science Editors:

Tewkesbury AP. A comparison of remote sensing change detection methods for urban creep identification in Norwich. [Doctoral Dissertation]. University of Leicester; 2019. Available from: https://doi.org/10.25392/leicester.data.10291982.v1 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.794099


University of New South Wales

10. Zong, Kaibin. Building change detection from remotely sensed data using machine learning techniques.

Degree: Computer Science & Engineering, 2017, University of New South Wales

 As remote sensing data plays an increasingly important role in many fields, manycountries have established geographic information systems. However, such systemsusually suffer from obsolete scene… (more)

Subjects/Keywords: Remote Sensing; Change Detection; Buildings

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APA (6th Edition):

Zong, K. (2017). Building change detection from remotely sensed data using machine learning techniques. (Doctoral Dissertation). University of New South Wales. Retrieved from http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true

Chicago Manual of Style (16th Edition):

Zong, Kaibin. “Building change detection from remotely sensed data using machine learning techniques.” 2017. Doctoral Dissertation, University of New South Wales. Accessed March 01, 2021. http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true.

MLA Handbook (7th Edition):

Zong, Kaibin. “Building change detection from remotely sensed data using machine learning techniques.” 2017. Web. 01 Mar 2021.

Vancouver:

Zong K. Building change detection from remotely sensed data using machine learning techniques. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2021 Mar 01]. Available from: http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true.

Council of Science Editors:

Zong K. Building change detection from remotely sensed data using machine learning techniques. [Doctoral Dissertation]. University of New South Wales; 2017. Available from: http://handle.unsw.edu.au/1959.4/57153 ; https://unsworks.unsw.edu.au/fapi/datastream/unsworks:42696/SOURCE02?view=true


Georgia Tech

11. Cao, Yang. Poisson matrix completion and change-point detection.

Degree: PhD, Industrial and Systems Engineering, 2018, Georgia Tech

 Statistical signal processing and machine learning are very important in modern science and engineering. Many theories, methods and techniques are developed to help people extract and… (more)

Subjects/Keywords: Matrix completion; Sequential change-point detection; Robust change detection; Online learning

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APA (6th Edition):

Cao, Y. (2018). Poisson matrix completion and change-point detection. (Doctoral Dissertation). Georgia Tech. Retrieved from http://hdl.handle.net/1853/60195

Chicago Manual of Style (16th Edition):

Cao, Yang. “Poisson matrix completion and change-point detection.” 2018. Doctoral Dissertation, Georgia Tech. Accessed March 01, 2021. http://hdl.handle.net/1853/60195.

MLA Handbook (7th Edition):

Cao, Yang. “Poisson matrix completion and change-point detection.” 2018. Web. 01 Mar 2021.

Vancouver:

Cao Y. Poisson matrix completion and change-point detection. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1853/60195.

Council of Science Editors:

Cao Y. Poisson matrix completion and change-point detection. [Doctoral Dissertation]. Georgia Tech; 2018. Available from: http://hdl.handle.net/1853/60195


Queens University

12. Wang, Hongfei. Communication-efficient decentralized sequential detection .

Degree: Electrical and Computer Engineering, 2016, Queens University

 The problem of decentralized sequential detection is studied in this thesis, where local sensors are memoryless, receive independent observations, and no feedback from the fusion… (more)

Subjects/Keywords: Change detection ; Decentralized detection ; Hypothesis testing ; Sequential detection

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APA (6th Edition):

Wang, H. (2016). Communication-efficient decentralized sequential detection . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/15128

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, Hongfei. “Communication-efficient decentralized sequential detection .” 2016. Thesis, Queens University. Accessed March 01, 2021. http://hdl.handle.net/1974/15128.

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

MLA Handbook (7th Edition):

Wang, Hongfei. “Communication-efficient decentralized sequential detection .” 2016. Web. 01 Mar 2021.

Vancouver:

Wang H. Communication-efficient decentralized sequential detection . [Internet] [Thesis]. Queens University; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1974/15128.

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

Council of Science Editors:

Wang H. Communication-efficient decentralized sequential detection . [Thesis]. Queens University; 2016. Available from: http://hdl.handle.net/1974/15128

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


Queensland University of Technology

13. Ahmed, Ejaz. Monitoring and analysis of internet traffic targeting unused address spaces.

Degree: 2010, Queensland University of Technology

 Today’s evolving networks are experiencing a large number of different attacks ranging from system break-ins, infection from automatic attack tools such as worms, viruses, trojan… (more)

Subjects/Keywords: Unused address spaces; darknets; change detection; nested change detection; cumulativesum; sliding window; change point correlation

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APA (6th Edition):

Ahmed, E. (2010). Monitoring and analysis of internet traffic targeting unused address spaces. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/34075/

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):

Ahmed, Ejaz. “Monitoring and analysis of internet traffic targeting unused address spaces.” 2010. Thesis, Queensland University of Technology. Accessed March 01, 2021. https://eprints.qut.edu.au/34075/.

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

MLA Handbook (7th Edition):

Ahmed, Ejaz. “Monitoring and analysis of internet traffic targeting unused address spaces.” 2010. Web. 01 Mar 2021.

Vancouver:

Ahmed E. Monitoring and analysis of internet traffic targeting unused address spaces. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2021 Mar 01]. Available from: https://eprints.qut.edu.au/34075/.

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

Council of Science Editors:

Ahmed E. Monitoring and analysis of internet traffic targeting unused address spaces. [Thesis]. Queensland University of Technology; 2010. Available from: https://eprints.qut.edu.au/34075/

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


Tokyo Institute of Technology / 東京工業大学

14. LIU, SONG. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.

Degree: 博士(工学), 2015, Tokyo Institute of Technology / 東京工業大学

 In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a… (more)

Subjects/Keywords: Change Detection; Machine Learning; Density Ratio Estimation

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APA (6th Edition):

LIU, S. (2015). Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

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):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2015. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed March 01, 2021. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167.

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

MLA Handbook (7th Edition):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2015. Web. 01 Mar 2021.

Vancouver:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. [cited 2021 Mar 01]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167.

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

Council of Science Editors:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2015. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100687167

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


Tokyo Institute of Technology / 東京工業大学

15. LIU, SONG. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.

Degree: 博士(工学), 2014, Tokyo Institute of Technology / 東京工業大学

 In this thesis, we focus on unsupervised change detection, and propose two novel approaches in distributional and structural change detection respectively. First, we propose a… (more)

Subjects/Keywords: Change Detection; Machine Learning; Density Ratio Estimation

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APA (6th Edition):

LIU, S. (2014). Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. (Thesis). Tokyo Institute of Technology / 東京工業大学. Retrieved from http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

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):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2014. Thesis, Tokyo Institute of Technology / 東京工業大学. Accessed March 01, 2021. http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815.

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

MLA Handbook (7th Edition):

LIU, SONG. “Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習.” 2014. Web. 01 Mar 2021.

Vancouver:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Internet] [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. [cited 2021 Mar 01]. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815.

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

Council of Science Editors:

LIU S. Statistical Machine Learning Approaches to Change Detection : Statistical Machine Learning Approaches to Change Detection; 変化検知のための統計的機械学習. [Thesis]. Tokyo Institute of Technology / 東京工業大学; 2014. Available from: http://t2r2.star.titech.ac.jp/cgi-bin/publicationinfo.cgi?q_publication_content_number=CTT100666815

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


Dalhousie University

16. Rahimi, Sara. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming.

Degree: Master of Computer Science, Faculty of Computer Science, 2013, Dalhousie University

 Classification under streaming data conditions requires that the machine learning approach operate interactively with the stream content. Thus, given some initial machine learning classification capability,… (more)

Subjects/Keywords: Change Detection; Streaming Data; Genetic Programming

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

APA (6th Edition):

Rahimi, S. (2013). Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/35420

Chicago Manual of Style (16th Edition):

Rahimi, Sara. “Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming.” 2013. Masters Thesis, Dalhousie University. Accessed March 01, 2021. http://hdl.handle.net/10222/35420.

MLA Handbook (7th Edition):

Rahimi, Sara. “Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming.” 2013. Web. 01 Mar 2021.

Vancouver:

Rahimi S. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10222/35420.

Council of Science Editors:

Rahimi S. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. [Masters Thesis]. Dalhousie University; 2013. Available from: http://hdl.handle.net/10222/35420


University of Houston

17. Zhang, Xiao. LiDAR-Based Change Detection for Earthquake Surface Ruptures.

Degree: PhD, Geosensing Systems, 2016, University of Houston

 Determination of near-fault ground deformation during and after an earthquake is key to understanding the physics of earthquakes. Observations with high spatial resolution and accuracy… (more)

Subjects/Keywords: LiDAR; Change-detection; ICP; Earthquake; Deformations

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APA (6th Edition):

Zhang, X. (2016). LiDAR-Based Change Detection for Earthquake Surface Ruptures. (Doctoral Dissertation). University of Houston. Retrieved from http://hdl.handle.net/10657/3265

Chicago Manual of Style (16th Edition):

Zhang, Xiao. “LiDAR-Based Change Detection for Earthquake Surface Ruptures.” 2016. Doctoral Dissertation, University of Houston. Accessed March 01, 2021. http://hdl.handle.net/10657/3265.

MLA Handbook (7th Edition):

Zhang, Xiao. “LiDAR-Based Change Detection for Earthquake Surface Ruptures.” 2016. Web. 01 Mar 2021.

Vancouver:

Zhang X. LiDAR-Based Change Detection for Earthquake Surface Ruptures. [Internet] [Doctoral dissertation]. University of Houston; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10657/3265.

Council of Science Editors:

Zhang X. LiDAR-Based Change Detection for Earthquake Surface Ruptures. [Doctoral Dissertation]. University of Houston; 2016. Available from: http://hdl.handle.net/10657/3265


University of Toronto

18. Wynn, Jordana. Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task.

Degree: 2014, University of Toronto

Stimulus repetition improves processing efficiency and performance on a variety of mnemonic tasks. When images are successfully retrieved from memory, the accompanying pattern of fixations… (more)

Subjects/Keywords: change detection; eyetracking; memory; repetition; scanpath; 0621

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APA (6th Edition):

Wynn, J. (2014). Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/98369

Chicago Manual of Style (16th Edition):

Wynn, Jordana. “Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task.” 2014. Masters Thesis, University of Toronto. Accessed March 01, 2021. http://hdl.handle.net/1807/98369.

MLA Handbook (7th Edition):

Wynn, Jordana. “Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task.” 2014. Web. 01 Mar 2021.

Vancouver:

Wynn J. Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1807/98369.

Council of Science Editors:

Wynn J. Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task. [Masters Thesis]. University of Toronto; 2014. Available from: http://hdl.handle.net/1807/98369


Delft University of Technology

19. Alphenaar, K.J. (author). An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method.

Degree: 2016, Delft University of Technology

The current vegetation monitoring method of Rijkswaterstaat is a manual, time consuming and costly method and therefore only is performed once in six years. The… (more)

Subjects/Keywords: classification; vegetation monitoring; river forelands; change detection

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

APA (6th Edition):

Alphenaar, K. J. (. (2016). An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06

Chicago Manual of Style (16th Edition):

Alphenaar, K J (author). “An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method.” 2016. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06.

MLA Handbook (7th Edition):

Alphenaar, K J (author). “An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method.” 2016. Web. 01 Mar 2021.

Vancouver:

Alphenaar KJ(. An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method. [Internet] [Masters thesis]. Delft University of Technology; 2016. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06.

Council of Science Editors:

Alphenaar KJ(. An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method. [Masters Thesis]. Delft University of Technology; 2016. Available from: http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06


Michigan Technological University

20. Kang, Shuaimin. Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions.

Degree: MS, Department of Mathematical Sciences, 2015, Michigan Technological University

  In this thesis, we consider Bayesian inference on the detection of variance change-point models with scale mixtures of normal (for short SMN) distributions. This… (more)

Subjects/Keywords: variance change point detection; Statistics and Probability

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APA (6th Edition):

Kang, S. (2015). Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions. (Masters Thesis). Michigan Technological University. Retrieved from https://digitalcommons.mtu.edu/etds/920

Chicago Manual of Style (16th Edition):

Kang, Shuaimin. “Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions.” 2015. Masters Thesis, Michigan Technological University. Accessed March 01, 2021. https://digitalcommons.mtu.edu/etds/920.

MLA Handbook (7th Edition):

Kang, Shuaimin. “Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions.” 2015. Web. 01 Mar 2021.

Vancouver:

Kang S. Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions. [Internet] [Masters thesis]. Michigan Technological University; 2015. [cited 2021 Mar 01]. Available from: https://digitalcommons.mtu.edu/etds/920.

Council of Science Editors:

Kang S. Bayesian change-point analysis in linear regression model with scale mixtures of normal distributions. [Masters Thesis]. Michigan Technological University; 2015. Available from: https://digitalcommons.mtu.edu/etds/920


University of Minnesota

21. Zhou, Xun. Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery.

Degree: PhD, Computer Science, 2014, University of Minnesota

 Recent years have seen the emergence of many new and valuable datasets such as global climate projection, GPS traces, and tweets. However, these Spatiotemporal Big… (more)

Subjects/Keywords: Change detection; Data mining; Spatiotemporal analytics

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APA (6th Edition):

Zhou, X. (2014). Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery. (Doctoral Dissertation). University of Minnesota. Retrieved from http://hdl.handle.net/11299/174912

Chicago Manual of Style (16th Edition):

Zhou, Xun. “Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery.” 2014. Doctoral Dissertation, University of Minnesota. Accessed March 01, 2021. http://hdl.handle.net/11299/174912.

MLA Handbook (7th Edition):

Zhou, Xun. “Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery.” 2014. Web. 01 Mar 2021.

Vancouver:

Zhou X. Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/11299/174912.

Council of Science Editors:

Zhou X. Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery. [Doctoral Dissertation]. University of Minnesota; 2014. Available from: http://hdl.handle.net/11299/174912


University of Maryland

22. Najafizadeh, Ladan. Temporal Tracking Urban Areas using Google Street View.

Degree: Computer Science, 2016, University of Maryland

 Tracking the evolution of built environments is a challenging problem in computer vision due to the intrinsic complexity of urban scenes, as well as the… (more)

Subjects/Keywords: Computer science; accessibility; change detection; urban tracking

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APA (6th Edition):

Najafizadeh, L. (2016). Temporal Tracking Urban Areas using Google Street View. (Thesis). University of Maryland. Retrieved from http://hdl.handle.net/1903/19020

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):

Najafizadeh, Ladan. “Temporal Tracking Urban Areas using Google Street View.” 2016. Thesis, University of Maryland. Accessed March 01, 2021. http://hdl.handle.net/1903/19020.

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

MLA Handbook (7th Edition):

Najafizadeh, Ladan. “Temporal Tracking Urban Areas using Google Street View.” 2016. Web. 01 Mar 2021.

Vancouver:

Najafizadeh L. Temporal Tracking Urban Areas using Google Street View. [Internet] [Thesis]. University of Maryland; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/1903/19020.

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

Council of Science Editors:

Najafizadeh L. Temporal Tracking Urban Areas using Google Street View. [Thesis]. University of Maryland; 2016. Available from: http://hdl.handle.net/1903/19020

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


Wright State University

23. Vongsy, Karmon Marie. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.

Degree: MSEgr, Electrical Engineering, 2007, Wright State University

 This thesis studies the detection of changes using hyperspectral images. Change Detection (CD) is the process of identifying and examining temporal and spectral changes in… (more)

Subjects/Keywords: change detection; hyperspectral

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APA (6th Edition):

Vongsy, K. M. (2007). CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751

Chicago Manual of Style (16th Edition):

Vongsy, Karmon Marie. “CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.” 2007. Masters Thesis, Wright State University. Accessed March 01, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751.

MLA Handbook (7th Edition):

Vongsy, Karmon Marie. “CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.” 2007. Web. 01 Mar 2021.

Vancouver:

Vongsy KM. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. [Internet] [Masters thesis]. Wright State University; 2007. [cited 2021 Mar 01]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751.

Council of Science Editors:

Vongsy KM. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. [Masters Thesis]. Wright State University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751


University of Illinois – Chicago

24. Fei, Geli. Open Classification and Change Detection in the Similarity Space.

Degree: 2017, University of Illinois – Chicago

 The rapid emergence of new topics and the highly diverse nature of online text data have brought new challenges to existing text classification techniques. One… (more)

Subjects/Keywords: Open classification; Covariate shift; Cumulative learning; Spam detection; Change detection

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APA (6th Edition):

Fei, G. (2017). Open Classification and Change Detection in the Similarity Space. (Thesis). University of Illinois – Chicago. Retrieved from http://hdl.handle.net/10027/21802

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):

Fei, Geli. “Open Classification and Change Detection in the Similarity Space.” 2017. Thesis, University of Illinois – Chicago. Accessed March 01, 2021. http://hdl.handle.net/10027/21802.

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

MLA Handbook (7th Edition):

Fei, Geli. “Open Classification and Change Detection in the Similarity Space.” 2017. Web. 01 Mar 2021.

Vancouver:

Fei G. Open Classification and Change Detection in the Similarity Space. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10027/21802.

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

Council of Science Editors:

Fei G. Open Classification and Change Detection in the Similarity Space. [Thesis]. University of Illinois – Chicago; 2017. Available from: http://hdl.handle.net/10027/21802

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


Delft University of Technology

25. Dijkstra, Fokke (author). Breakpoint detection through neural nets: A feasibility study.

Degree: 2020, Delft University of Technology

A variety of statistical methods are available to detect sudden changes, or breakpoints, in time series when used as multi-temporal change detection technique. However, these… (more)

Subjects/Keywords: breakpoint detection; multi-temporal change detection; deep learning; neural nets

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APA (6th Edition):

Dijkstra, F. (. (2020). Breakpoint detection through neural nets: A feasibility study. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:31e80f25-0e47-4e4e-99f0-26e936d43e90

Chicago Manual of Style (16th Edition):

Dijkstra, Fokke (author). “Breakpoint detection through neural nets: A feasibility study.” 2020. Masters Thesis, Delft University of Technology. Accessed March 01, 2021. http://resolver.tudelft.nl/uuid:31e80f25-0e47-4e4e-99f0-26e936d43e90.

MLA Handbook (7th Edition):

Dijkstra, Fokke (author). “Breakpoint detection through neural nets: A feasibility study.” 2020. Web. 01 Mar 2021.

Vancouver:

Dijkstra F(. Breakpoint detection through neural nets: A feasibility study. [Internet] [Masters thesis]. Delft University of Technology; 2020. [cited 2021 Mar 01]. Available from: http://resolver.tudelft.nl/uuid:31e80f25-0e47-4e4e-99f0-26e936d43e90.

Council of Science Editors:

Dijkstra F(. Breakpoint detection through neural nets: A feasibility study. [Masters Thesis]. Delft University of Technology; 2020. Available from: http://resolver.tudelft.nl/uuid:31e80f25-0e47-4e4e-99f0-26e936d43e90


University of Tasmania

26. Olding, WC. Probabilistic methods for land cover change detection.

Degree: 2019, University of Tasmania

 One of the most powerful tools we possess for global scale monitoring of the surface of the earth are spacebourne remote sensing satellites. Every day… (more)

Subjects/Keywords: Remote Sensing; Change Detection; Time Series; Online Detection

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APA (6th Edition):

Olding, W. (2019). Probabilistic methods for land cover change detection. (Thesis). University of Tasmania. Retrieved from https://eprints.utas.edu.au/34265/1/Olding_whole_thesis.pdf ; Olding, WC ORCID: 0000-0002-2053-4013 <https://orcid.org/0000-0002-2053-4013> 2019 , 'Probabilistic methods for land cover change detection', PhD thesis, University of Tasmania.

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):

Olding, WC. “Probabilistic methods for land cover change detection.” 2019. Thesis, University of Tasmania. Accessed March 01, 2021. https://eprints.utas.edu.au/34265/1/Olding_whole_thesis.pdf ; Olding, WC ORCID: 0000-0002-2053-4013 <https://orcid.org/0000-0002-2053-4013> 2019 , 'Probabilistic methods for land cover change detection', PhD thesis, University of Tasmania..

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

MLA Handbook (7th Edition):

Olding, WC. “Probabilistic methods for land cover change detection.” 2019. Web. 01 Mar 2021.

Vancouver:

Olding W. Probabilistic methods for land cover change detection. [Internet] [Thesis]. University of Tasmania; 2019. [cited 2021 Mar 01]. Available from: https://eprints.utas.edu.au/34265/1/Olding_whole_thesis.pdf ; Olding, WC ORCID: 0000-0002-2053-4013 <https://orcid.org/0000-0002-2053-4013> 2019 , 'Probabilistic methods for land cover change detection', PhD thesis, University of Tasmania..

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

Council of Science Editors:

Olding W. Probabilistic methods for land cover change detection. [Thesis]. University of Tasmania; 2019. Available from: https://eprints.utas.edu.au/34265/1/Olding_whole_thesis.pdf ; Olding, WC ORCID: 0000-0002-2053-4013 <https://orcid.org/0000-0002-2053-4013> 2019 , 'Probabilistic methods for land cover change detection', PhD thesis, University of Tasmania.

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


King Abdullah University of Science and Technology

27. Qahtan, Abdulhakim Ali Ali. Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data.

Degree: Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division, 2016, King Abdullah University of Science and Technology

 Recent advances in computing technology allow for collecting vast amount of data that arrive continuously in the form of streams. Mining data streams is challenged… (more)

Subjects/Keywords: data streams; density estimation; dynamic density; change detection; outtier detection

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APA (6th Edition):

Qahtan, A. A. A. (2016). Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/609049

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):

Qahtan, Abdulhakim Ali Ali. “Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data.” 2016. Thesis, King Abdullah University of Science and Technology. Accessed March 01, 2021. http://hdl.handle.net/10754/609049.

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

MLA Handbook (7th Edition):

Qahtan, Abdulhakim Ali Ali. “Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data.” 2016. Web. 01 Mar 2021.

Vancouver:

Qahtan AAA. Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2016. [cited 2021 Mar 01]. Available from: http://hdl.handle.net/10754/609049.

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

Council of Science Editors:

Qahtan AAA. Efficient Estimation of Dynamic Density Functions with Applications in Streaming Data. [Thesis]. King Abdullah University of Science and Technology; 2016. Available from: http://hdl.handle.net/10754/609049

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


University of Oregon

28. Anderson, Riley. High Resolution Remote Sensing of Eelgrass (Zostera marina) in South Slough, Oregon.

Degree: MS, Department of Geography, 2020, University of Oregon

 Eelgrass (Zostera marina) supports aquatic biodiversity, carbon sequestration, aquaculture, and water quality. Eelgrass has been undergoing global decline for more than three decades. Lack of… (more)

Subjects/Keywords: change detection; eelgrass; land cover change; patch dynamics; remote sensing; seagrass

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APA (6th Edition):

Anderson, R. (2020). High Resolution Remote Sensing of Eelgrass (Zostera marina) in South Slough, Oregon. (Masters Thesis). University of Oregon. Retrieved from https://scholarsbank.uoregon.edu/xmlui/handle/1794/25612

Chicago Manual of Style (16th Edition):

Anderson, Riley. “High Resolution Remote Sensing of Eelgrass (Zostera marina) in South Slough, Oregon.” 2020. Masters Thesis, University of Oregon. Accessed March 01, 2021. https://scholarsbank.uoregon.edu/xmlui/handle/1794/25612.

MLA Handbook (7th Edition):

Anderson, Riley. “High Resolution Remote Sensing of Eelgrass (Zostera marina) in South Slough, Oregon.” 2020. Web. 01 Mar 2021.

Vancouver:

Anderson R. High Resolution Remote Sensing of Eelgrass (Zostera marina) in South Slough, Oregon. [Internet] [Masters thesis]. University of Oregon; 2020. [cited 2021 Mar 01]. Available from: https://scholarsbank.uoregon.edu/xmlui/handle/1794/25612.

Council of Science Editors:

Anderson R. High Resolution Remote Sensing of Eelgrass (Zostera marina) in South Slough, Oregon. [Masters Thesis]. University of Oregon; 2020. Available from: https://scholarsbank.uoregon.edu/xmlui/handle/1794/25612


University of Tennessee – Knoxville

29. Wang, Yifan. Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing.

Degree: 2019, University of Tennessee – Knoxville

 Cognitive radio is one of the enabling technologies considered for the next generation communication systems for many mission-critical applications. In modern cognitive ratio systems, the… (more)

Subjects/Keywords: Quickest Detection; Spectrum Sensing; Cognitive Radio; mmWave; Belief Propagation; Universal Change Detection

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

APA (6th Edition):

Wang, Y. (2019). Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing. (Doctoral Dissertation). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_graddiss/5618

Chicago Manual of Style (16th Edition):

Wang, Yifan. “Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing.” 2019. Doctoral Dissertation, University of Tennessee – Knoxville. Accessed March 01, 2021. https://trace.tennessee.edu/utk_graddiss/5618.

MLA Handbook (7th Edition):

Wang, Yifan. “Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing.” 2019. Web. 01 Mar 2021.

Vancouver:

Wang Y. Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing. [Internet] [Doctoral dissertation]. University of Tennessee – Knoxville; 2019. [cited 2021 Mar 01]. Available from: https://trace.tennessee.edu/utk_graddiss/5618.

Council of Science Editors:

Wang Y. Data Driven Quickest Detection in Networks and Its Applications in Spectrum Sensing. [Doctoral Dissertation]. University of Tennessee – Knoxville; 2019. Available from: https://trace.tennessee.edu/utk_graddiss/5618


University of Windsor

30. Bluteau, Ryan. Obstacle and Change Detection Using Monocular Vision.

Degree: MS, Computer Science, 2019, University of Windsor

 We explore change detection using videos of change-free paths to detect any changes that occur while travelling the same paths in the future. This approach… (more)

Subjects/Keywords: Artificial Intelligence; Change Detection; Computer Vision; Deep Learning; Monocular Vision; Obstacle Detection

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

APA (6th Edition):

Bluteau, R. (2019). Obstacle and Change Detection Using Monocular Vision. (Masters Thesis). University of Windsor. Retrieved from https://scholar.uwindsor.ca/etd/7766

Chicago Manual of Style (16th Edition):

Bluteau, Ryan. “Obstacle and Change Detection Using Monocular Vision.” 2019. Masters Thesis, University of Windsor. Accessed March 01, 2021. https://scholar.uwindsor.ca/etd/7766.

MLA Handbook (7th Edition):

Bluteau, Ryan. “Obstacle and Change Detection Using Monocular Vision.” 2019. Web. 01 Mar 2021.

Vancouver:

Bluteau R. Obstacle and Change Detection Using Monocular Vision. [Internet] [Masters thesis]. University of Windsor; 2019. [cited 2021 Mar 01]. Available from: https://scholar.uwindsor.ca/etd/7766.

Council of Science Editors:

Bluteau R. Obstacle and Change Detection Using Monocular Vision. [Masters Thesis]. University of Windsor; 2019. Available from: https://scholar.uwindsor.ca/etd/7766

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