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You searched for subject:(change detection). Showing records 1 – 30 of 431 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 (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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Mayer BA. Duration Dependent Hidden Markov Models and Change Point Geometry for Video Surveillance. [Internet] [Doctoral dissertation]. Brown University; 2015. [cited 2020 Feb 22]. 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/


Wright State University

2. 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 February 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1184010751.

MLA Handbook (7th Edition):

Vongsy, Karmon Marie. “CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY.” 2007. Web. 22 Feb 2020.

Vancouver:

Vongsy KM. CHANGE DETECTION METHODS FOR HYPERSPECTRAL IMAGERY. [Internet] [Masters thesis]. Wright State University; 2007. [cited 2020 Feb 22]. 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

3. 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 (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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Pollard TB. Comprehensive 3-d Change Detection Using Volumetric Appearance Modeling. [Internet] [Doctoral dissertation]. Brown University; 2008. [cited 2020 Feb 22]. 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/


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 February 22, 2020. 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. 22 Feb 2020.

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 2020 Feb 22]. 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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Shang C. Land cover change analysis of Big Creek conservation area with satellite remote sensing. [Internet] [Thesis]. University of Waterloo; 2013. [cited 2020 Feb 22]. 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


University of Waterloo

6. Pellerin, Jennifer. Updating the Canadian Reference Hydrometric Basin Network to detect climate-related trends in streamflow.

Degree: 2019, University of Waterloo

 This thesis developed a new set of selection criteria to renew the Canadian Reference Hydrometric Basin Network (RHBN) and improve its coverage of non-atmospheric factors… (more)

Subjects/Keywords: trend detection; climate change; streamflow

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APA (6th Edition):

Pellerin, J. (2019). Updating the Canadian Reference Hydrometric Basin Network to detect climate-related trends in streamflow. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/14574

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):

Pellerin, Jennifer. “Updating the Canadian Reference Hydrometric Basin Network to detect climate-related trends in streamflow.” 2019. Thesis, University of Waterloo. Accessed February 22, 2020. http://hdl.handle.net/10012/14574.

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

MLA Handbook (7th Edition):

Pellerin, Jennifer. “Updating the Canadian Reference Hydrometric Basin Network to detect climate-related trends in streamflow.” 2019. Web. 22 Feb 2020.

Vancouver:

Pellerin J. Updating the Canadian Reference Hydrometric Basin Network to detect climate-related trends in streamflow. [Internet] [Thesis]. University of Waterloo; 2019. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10012/14574.

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

Council of Science Editors:

Pellerin J. Updating the Canadian Reference Hydrometric Basin Network to detect climate-related trends in streamflow. [Thesis]. University of Waterloo; 2019. Available from: http://hdl.handle.net/10012/14574

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


University of North Texas

7. 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 February 22, 2020. 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. 22 Feb 2020.

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 2020 Feb 22]. 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 New South Wales

8. 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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Zong K. Building change detection from remotely sensed data using machine learning techniques. [Internet] [Doctoral dissertation]. University of New South Wales; 2017. [cited 2020 Feb 22]. 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


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 February 22, 2020. 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. 22 Feb 2020.

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 2020 Feb 22]. 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


Miami University

10. Maluki, Peter Masavi. MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA.

Degree: MA, Geography, 2007, Miami University

 The main goal of the study was mapping land cover land use change patterns in Mbeere District between 1987 and 2000.Two Landsat images acquired in… (more)

Subjects/Keywords: land cover change; MBEERE; change detection; woodland

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APA (6th Edition):

Maluki, P. M. (2007). MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1187030316

Chicago Manual of Style (16th Edition):

Maluki, Peter Masavi. “MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA.” 2007. Masters Thesis, Miami University. Accessed February 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1187030316.

MLA Handbook (7th Edition):

Maluki, Peter Masavi. “MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA.” 2007. Web. 22 Feb 2020.

Vancouver:

Maluki PM. MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA. [Internet] [Masters thesis]. Miami University; 2007. [cited 2020 Feb 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1187030316.

Council of Science Editors:

Maluki PM. MAPPING LAND COVER LAND USE CHANGE IN MBEERE DISTRICT, KENYA. [Masters Thesis]. Miami University; 2007. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1187030316


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 February 22, 2020. http://hdl.handle.net/1853/60195.

MLA Handbook (7th Edition):

Cao, Yang. “Poisson matrix completion and change-point detection.” 2018. Web. 22 Feb 2020.

Vancouver:

Cao Y. Poisson matrix completion and change-point detection. [Internet] [Doctoral dissertation]. Georgia Tech; 2018. [cited 2020 Feb 22]. 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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Wang H. Communication-efficient decentralized sequential detection . [Internet] [Thesis]. Queens University; 2016. [cited 2020 Feb 22]. 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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Ahmed E. Monitoring and analysis of internet traffic targeting unused address spaces. [Internet] [Thesis]. Queensland University of Technology; 2010. [cited 2020 Feb 22]. 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


Dalhousie University

14. 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 (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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Rahimi S. Label Free Change Detection on Streaming Data with Cooperative Multi-objective Genetic Programming. [Internet] [Masters thesis]. Dalhousie University; 2013. [cited 2020 Feb 22]. 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


Michigan Technological University

15. 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 http://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 February 22, 2020. http://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. 22 Feb 2020.

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 2020 Feb 22]. Available from: http://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: http://digitalcommons.mtu.edu/etds/920


University of Illinois – Urbana-Champaign

16. Unnikrishnan, Jayakrishnan. Decision-making under statistical uncertainty.

Degree: PhD, 1200, 2010, University of Illinois – Urbana-Champaign

 Statistical decision-making procedures are used in a wide range of contexts varying from communication receiver design to environment monitoring systems. Although such procedures have been… (more)

Subjects/Keywords: hypothesis testing; robust statistics; quickest change detection

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

APA (6th Edition):

Unnikrishnan, J. (2010). Decision-making under statistical uncertainty. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/16767

Chicago Manual of Style (16th Edition):

Unnikrishnan, Jayakrishnan. “Decision-making under statistical uncertainty.” 2010. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed February 22, 2020. http://hdl.handle.net/2142/16767.

MLA Handbook (7th Edition):

Unnikrishnan, Jayakrishnan. “Decision-making under statistical uncertainty.” 2010. Web. 22 Feb 2020.

Vancouver:

Unnikrishnan J. Decision-making under statistical uncertainty. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2010. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/2142/16767.

Council of Science Editors:

Unnikrishnan J. Decision-making under statistical uncertainty. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/16767


Tokyo Institute of Technology / 東京工業大学

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

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 February 22, 2020. 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. 22 Feb 2020.

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 2020 Feb 22]. 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

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

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 February 22, 2020. 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. 22 Feb 2020.

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 2020 Feb 22]. 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


Marietta College

19. Hall, Ashley. Looking Back: An Examination of Hindsight Bias in Change Detection Ability.

Degree: MA, Psychology, 2008, Marietta College

 This study examines hindsight bias in relation to performance in the change detection (i.e., 'flicker') paradigm. In order to determine confidence ratings and predictions about… (more)

Subjects/Keywords: Psychology; hindsight; change detection; flicker paradigm

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

APA (6th Edition):

Hall, A. (2008). Looking Back: An Examination of Hindsight Bias in Change Detection Ability. (Masters Thesis). Marietta College. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=marietta1212840291

Chicago Manual of Style (16th Edition):

Hall, Ashley. “Looking Back: An Examination of Hindsight Bias in Change Detection Ability.” 2008. Masters Thesis, Marietta College. Accessed February 22, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=marietta1212840291.

MLA Handbook (7th Edition):

Hall, Ashley. “Looking Back: An Examination of Hindsight Bias in Change Detection Ability.” 2008. Web. 22 Feb 2020.

Vancouver:

Hall A. Looking Back: An Examination of Hindsight Bias in Change Detection Ability. [Internet] [Masters thesis]. Marietta College; 2008. [cited 2020 Feb 22]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=marietta1212840291.

Council of Science Editors:

Hall A. Looking Back: An Examination of Hindsight Bias in Change Detection Ability. [Masters Thesis]. Marietta College; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=marietta1212840291


Delft University of Technology

20. Alphenaar, K.J. 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. “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 February 22, 2020. http://resolver.tudelft.nl/uuid:20867a0e-e012-44bd-a210-c9c4a0901f06.

MLA Handbook (7th Edition):

Alphenaar, K J. “An intensified vegetation classification of the Dutch river forelands: Designing a new, automatic classification and change detection method :.” 2016. Web. 22 Feb 2020.

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 2020 Feb 22]. 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


Robert Gordon University

21. Bashir, Sulaimon A. Change detection for activity recognition.

Degree: PhD, 2017, Robert Gordon University

 Activity Recognition is concerned with identifying the physical state of a user at a particular point in time. Activity recognition task requires the training of… (more)

Subjects/Keywords: Activity recognition; Change detection; Classification algorithm; Sensors

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

APA (6th Edition):

Bashir, S. A. (2017). Change detection for activity recognition. (Doctoral Dissertation). Robert Gordon University. Retrieved from http://hdl.handle.net/10059/3104

Chicago Manual of Style (16th Edition):

Bashir, Sulaimon A. “Change detection for activity recognition.” 2017. Doctoral Dissertation, Robert Gordon University. Accessed February 22, 2020. http://hdl.handle.net/10059/3104.

MLA Handbook (7th Edition):

Bashir, Sulaimon A. “Change detection for activity recognition.” 2017. Web. 22 Feb 2020.

Vancouver:

Bashir SA. Change detection for activity recognition. [Internet] [Doctoral dissertation]. Robert Gordon University; 2017. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10059/3104.

Council of Science Editors:

Bashir SA. Change detection for activity recognition. [Doctoral Dissertation]. Robert Gordon University; 2017. Available from: http://hdl.handle.net/10059/3104


University of Houston

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

Degree: Civil and Environmental Engineering, Department of, 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; Deformation.

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

APA (6th Edition):

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

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

Chicago Manual of Style (16th Edition):

Zhang, Xiao. “LiDAR-Based Change Detection for Earthquake Surface Ruptures.” 2016. Thesis, University of Houston. Accessed February 22, 2020. http://hdl.handle.net/10657/3265.

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

MLA Handbook (7th Edition):

Zhang, Xiao. “LiDAR-Based Change Detection for Earthquake Surface Ruptures.” 2016. Web. 22 Feb 2020.

Vancouver:

Zhang X. LiDAR-Based Change Detection for Earthquake Surface Ruptures. [Internet] [Thesis]. University of Houston; 2016. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10657/3265.

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

Council of Science Editors:

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

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


University of Toronto

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

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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Wynn J. Rethinking Repetition: Selective Scanpath Recapitulation Supports Mnemonic Performance on a Change Detection Task. [Internet] [Masters thesis]. University of Toronto; 2014. [cited 2020 Feb 22]. 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


University of Minnesota

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

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 February 22, 2020. http://hdl.handle.net/11299/174912.

MLA Handbook (7th Edition):

Zhou, Xun. “Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery.” 2014. Web. 22 Feb 2020.

Vancouver:

Zhou X. Spatiotemporal Big Data Analytics: Change Footprint Pattern Discovery. [Internet] [Doctoral dissertation]. University of Minnesota; 2014. [cited 2020 Feb 22]. 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


Robert Gordon University

25. Bashir, Sulaimon A. Change detection for activity recognition.

Degree: PhD, 2017, Robert Gordon University

 Activity Recognition is concerned with identifying the physical state of a user at a particular point in time. Activity recognition task requires the training of… (more)

Subjects/Keywords: Activity recognition; Change detection; Classification algorithm; Sensors

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

APA (6th Edition):

Bashir, S. A. (2017). Change detection for activity recognition. (Doctoral Dissertation). Robert Gordon University. Retrieved from https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171

Chicago Manual of Style (16th Edition):

Bashir, Sulaimon A. “Change detection for activity recognition.” 2017. Doctoral Dissertation, Robert Gordon University. Accessed February 22, 2020. https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171.

MLA Handbook (7th Edition):

Bashir, Sulaimon A. “Change detection for activity recognition.” 2017. Web. 22 Feb 2020.

Vancouver:

Bashir SA. Change detection for activity recognition. [Internet] [Doctoral dissertation]. Robert Gordon University; 2017. [cited 2020 Feb 22]. Available from: https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171.

Council of Science Editors:

Bashir SA. Change detection for activity recognition. [Doctoral Dissertation]. Robert Gordon University; 2017. Available from: https://rgu-repository.worktribe.com/output/248955 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.758171


Rochester Institute of Technology

26. Schlamm, Ariel. Characterization of the spectral distribution of hyperspectral imagery for improved exploitation.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2010, Rochester Institute of Technology

 Widely used methods of target, anomaly, and change detection when applied to spectral imagery provide less than desirable results due to the complex nature of… (more)

Subjects/Keywords: Anomaly detection; Change detection; Dimension estimation; Hyperspectral; Image analysis; Multispectral

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APA (6th Edition):

Schlamm, A. (2010). Characterization of the spectral distribution of hyperspectral imagery for improved exploitation. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2912

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):

Schlamm, Ariel. “Characterization of the spectral distribution of hyperspectral imagery for improved exploitation.” 2010. Thesis, Rochester Institute of Technology. Accessed February 22, 2020. https://scholarworks.rit.edu/theses/2912.

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

MLA Handbook (7th Edition):

Schlamm, Ariel. “Characterization of the spectral distribution of hyperspectral imagery for improved exploitation.” 2010. Web. 22 Feb 2020.

Vancouver:

Schlamm A. Characterization of the spectral distribution of hyperspectral imagery for improved exploitation. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Feb 22]. Available from: https://scholarworks.rit.edu/theses/2912.

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

Council of Science Editors:

Schlamm A. Characterization of the spectral distribution of hyperspectral imagery for improved exploitation. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/2912

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


Rochester Institute of Technology

27. Lugo, Alfredo. Single pixel target detection using multispectral background changes.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2010, Rochester Institute of Technology

 Possible methods to help a remote sensing analyst to find a static or moving single pixel target over vast areas of terrain were examined in… (more)

Subjects/Keywords: Change detection; Chronochrome; Multispectral target detection; Wide area search

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APA (6th Edition):

Lugo, A. (2010). Single pixel target detection using multispectral background changes. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2911

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):

Lugo, Alfredo. “Single pixel target detection using multispectral background changes.” 2010. Thesis, Rochester Institute of Technology. Accessed February 22, 2020. https://scholarworks.rit.edu/theses/2911.

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

MLA Handbook (7th Edition):

Lugo, Alfredo. “Single pixel target detection using multispectral background changes.” 2010. Web. 22 Feb 2020.

Vancouver:

Lugo A. Single pixel target detection using multispectral background changes. [Internet] [Thesis]. Rochester Institute of Technology; 2010. [cited 2020 Feb 22]. Available from: https://scholarworks.rit.edu/theses/2911.

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

Council of Science Editors:

Lugo A. Single pixel target detection using multispectral background changes. [Thesis]. Rochester Institute of Technology; 2010. Available from: https://scholarworks.rit.edu/theses/2911

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


University of Illinois – Chicago

28. 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 February 22, 2020. 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. 22 Feb 2020.

Vancouver:

Fei G. Open Classification and Change Detection in the Similarity Space. [Internet] [Thesis]. University of Illinois – Chicago; 2017. [cited 2020 Feb 22]. 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


Penn State University

29. Dorin, Joshua N. Detecting ENSO Period Changes in a Proxy Record Spanning the Last Millennium.

Degree: MS, Geoscience, 2008, Penn State University

 Anthropogenic activities have increased radiative climate forcings, causing widespread changes to the climate system. The future response of the climate to anthropogenic forcing depends on… (more)

Subjects/Keywords: anthropogenic climate change; ENSO; El Nino - Southern Oscillation; climate change detection

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APA (6th Edition):

Dorin, J. N. (2008). Detecting ENSO Period Changes in a Proxy Record Spanning the Last Millennium. (Masters Thesis). Penn State University. Retrieved from https://etda.libraries.psu.edu/catalog/8668

Chicago Manual of Style (16th Edition):

Dorin, Joshua N. “Detecting ENSO Period Changes in a Proxy Record Spanning the Last Millennium.” 2008. Masters Thesis, Penn State University. Accessed February 22, 2020. https://etda.libraries.psu.edu/catalog/8668.

MLA Handbook (7th Edition):

Dorin, Joshua N. “Detecting ENSO Period Changes in a Proxy Record Spanning the Last Millennium.” 2008. Web. 22 Feb 2020.

Vancouver:

Dorin JN. Detecting ENSO Period Changes in a Proxy Record Spanning the Last Millennium. [Internet] [Masters thesis]. Penn State University; 2008. [cited 2020 Feb 22]. Available from: https://etda.libraries.psu.edu/catalog/8668.

Council of Science Editors:

Dorin JN. Detecting ENSO Period Changes in a Proxy Record Spanning the Last Millennium. [Masters Thesis]. Penn State University; 2008. Available from: https://etda.libraries.psu.edu/catalog/8668


Lincoln University

30. Irie, Kenji. Noise-limited scene-change detection in images.

Degree: 2009, Lincoln University

 This thesis describes the theoretical, experimental, and practical aspects of a noise-limited method for scene-change detection in images. The research is divided into three sections:… (more)

Subjects/Keywords: camera noise; image noise; noise models; scene-change detection; object segmentation; shadow detection; illumination modelling

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APA (6th Edition):

Irie, K. (2009). Noise-limited scene-change detection in images. (Thesis). Lincoln University. Retrieved from http://hdl.handle.net/10182/1351

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):

Irie, Kenji. “Noise-limited scene-change detection in images.” 2009. Thesis, Lincoln University. Accessed February 22, 2020. http://hdl.handle.net/10182/1351.

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

MLA Handbook (7th Edition):

Irie, Kenji. “Noise-limited scene-change detection in images.” 2009. Web. 22 Feb 2020.

Vancouver:

Irie K. Noise-limited scene-change detection in images. [Internet] [Thesis]. Lincoln University; 2009. [cited 2020 Feb 22]. Available from: http://hdl.handle.net/10182/1351.

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

Council of Science Editors:

Irie K. Noise-limited scene-change detection in images. [Thesis]. Lincoln University; 2009. Available from: http://hdl.handle.net/10182/1351

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

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