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You searched for subject:(Time series segmentation). Showing records 1 – 12 of 12 total matches.

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Australian National University

1. Yu, Honglin. Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos .

Degree: 2015, Australian National University

 Understanding the popularity evolution of online media has become an important research topic. There are a number of key questions which have high scientific significance… (more)

Subjects/Keywords: Online Attention analysis; YouTube viewcount prediction; YouTube Twitter interaction; time series segmentation; time series clustering

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

APA (6th Edition):

Yu, H. (2015). Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos . (Thesis). Australian National University. Retrieved from http://hdl.handle.net/1885/100568

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

Chicago Manual of Style (16th Edition):

Yu, Honglin. “Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos .” 2015. Thesis, Australian National University. Accessed November 17, 2019. http://hdl.handle.net/1885/100568.

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

MLA Handbook (7th Edition):

Yu, Honglin. “Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos .” 2015. Web. 17 Nov 2019.

Vancouver:

Yu H. Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos . [Internet] [Thesis]. Australian National University; 2015. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/1885/100568.

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

Council of Science Editors:

Yu H. Understanding the Popularity Evolution of Online Media: A Case Study on YouTube Videos . [Thesis]. Australian National University; 2015. Available from: http://hdl.handle.net/1885/100568

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


University of Minnesota

2. Garg, Ashish. Time series segmentation techniques for land cover change detection.

Degree: MS, Computer science, 2013, University of Minnesota

University of Minnesota M.S. thesis. May 2013. Major: Computer science. Advisor: Dr. Vipin Kumar. 1 computer file (PDF); viii, 53 pages, appendix A.

Ecosystem-related observations… (more)

Subjects/Keywords: Change detection; Data mining; Land cover; Segmentation; Time series

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APA (6th Edition):

Garg, A. (2013). Time series segmentation techniques for land cover change detection. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/156621

Chicago Manual of Style (16th Edition):

Garg, Ashish. “Time series segmentation techniques for land cover change detection.” 2013. Masters Thesis, University of Minnesota. Accessed November 17, 2019. http://purl.umn.edu/156621.

MLA Handbook (7th Edition):

Garg, Ashish. “Time series segmentation techniques for land cover change detection.” 2013. Web. 17 Nov 2019.

Vancouver:

Garg A. Time series segmentation techniques for land cover change detection. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Nov 17]. Available from: http://purl.umn.edu/156621.

Council of Science Editors:

Garg A. Time series segmentation techniques for land cover change detection. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/156621


Delft University of Technology

3. Panagiotou, V. Blind segmentation of time-series: A two-level approach:.

Degree: 2015, Delft University of Technology

 Change-point detection is an indispensable tool for awide variety of applications which has been extensively studied in the literature over the years. However, the development… (more)

Subjects/Keywords: change-point detection; segmentation; time-series data; data selection techniques; speedup

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APA (6th Edition):

Panagiotou, V. (2015). Blind segmentation of time-series: A two-level approach:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:832c8b73-fbc2-412e-9b8d-9063a48e6d57

Chicago Manual of Style (16th Edition):

Panagiotou, V. “Blind segmentation of time-series: A two-level approach:.” 2015. Masters Thesis, Delft University of Technology. Accessed November 17, 2019. http://resolver.tudelft.nl/uuid:832c8b73-fbc2-412e-9b8d-9063a48e6d57.

MLA Handbook (7th Edition):

Panagiotou, V. “Blind segmentation of time-series: A two-level approach:.” 2015. Web. 17 Nov 2019.

Vancouver:

Panagiotou V. Blind segmentation of time-series: A two-level approach:. [Internet] [Masters thesis]. Delft University of Technology; 2015. [cited 2019 Nov 17]. Available from: http://resolver.tudelft.nl/uuid:832c8b73-fbc2-412e-9b8d-9063a48e6d57.

Council of Science Editors:

Panagiotou V. Blind segmentation of time-series: A two-level approach:. [Masters Thesis]. Delft University of Technology; 2015. Available from: http://resolver.tudelft.nl/uuid:832c8b73-fbc2-412e-9b8d-9063a48e6d57


University of Minnesota

4. Garg, Ashish. Time series segmentation techniques for land cover change detection.

Degree: MS, Computer science, 2013, University of Minnesota

 Ecosystem-related observations from remote sensors on satellites offer a significant possibility for understanding the location and extent of global land cover change. In this study,… (more)

Subjects/Keywords: Change detection; Data mining; Land cover; Segmentation; Time series

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

APA (6th Edition):

Garg, A. (2013). Time series segmentation techniques for land cover change detection. (Masters Thesis). University of Minnesota. Retrieved from http://purl.umn.edu/156621

Chicago Manual of Style (16th Edition):

Garg, Ashish. “Time series segmentation techniques for land cover change detection.” 2013. Masters Thesis, University of Minnesota. Accessed November 17, 2019. http://purl.umn.edu/156621.

MLA Handbook (7th Edition):

Garg, Ashish. “Time series segmentation techniques for land cover change detection.” 2013. Web. 17 Nov 2019.

Vancouver:

Garg A. Time series segmentation techniques for land cover change detection. [Internet] [Masters thesis]. University of Minnesota; 2013. [cited 2019 Nov 17]. Available from: http://purl.umn.edu/156621.

Council of Science Editors:

Garg A. Time series segmentation techniques for land cover change detection. [Masters Thesis]. University of Minnesota; 2013. Available from: http://purl.umn.edu/156621


University of Cincinnati

5. Tian, Runfeng. An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process.

Degree: MS, Engineering and Applied Science: Mechanical Engineering, 2019, University of Cincinnati

 The semiconductor etching process is an essential and complex manufacturing process, in which the degradation is unobservable. Due to issues related to data quality and… (more)

Subjects/Keywords: Mechanical Engineering; Semiconductor fault detection; Time series segmentation; Feature extraction

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APA (6th Edition):

Tian, R. (2019). An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process. (Masters Thesis). University of Cincinnati. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562923441016763

Chicago Manual of Style (16th Edition):

Tian, Runfeng. “An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process.” 2019. Masters Thesis, University of Cincinnati. Accessed November 17, 2019. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562923441016763.

MLA Handbook (7th Edition):

Tian, Runfeng. “An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process.” 2019. Web. 17 Nov 2019.

Vancouver:

Tian R. An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process. [Internet] [Masters thesis]. University of Cincinnati; 2019. [cited 2019 Nov 17]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562923441016763.

Council of Science Editors:

Tian R. An Enhanced Approach using Time Series Segmentation for Fault Detection of Semiconductor Manufacturing Process. [Masters Thesis]. University of Cincinnati; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=ucin1562923441016763


University of Alberta

6. Graves, Daniel. Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications.

Degree: PhD, Department of Electrical and Computer Engineering, 2011, University of Alberta

 The focus of this study is the development and evaluation of a new partially supervised learning framework. This framework belongs to an emerging field in… (more)

Subjects/Keywords: Kernel-based clustering; Structural musical segmentation; Time series analysis; Multi-proximity clustering; Partially supervised learning; Active learning; Graph clustering; Fuzzy clustering; Time series clustering; Proximity hints

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APA (6th Edition):

Graves, D. (2011). Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications. (Doctoral Dissertation). University of Alberta. Retrieved from https://era.library.ualberta.ca/files/cr56n183g

Chicago Manual of Style (16th Edition):

Graves, Daniel. “Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications.” 2011. Doctoral Dissertation, University of Alberta. Accessed November 17, 2019. https://era.library.ualberta.ca/files/cr56n183g.

MLA Handbook (7th Edition):

Graves, Daniel. “Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications.” 2011. Web. 17 Nov 2019.

Vancouver:

Graves D. Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications. [Internet] [Doctoral dissertation]. University of Alberta; 2011. [cited 2019 Nov 17]. Available from: https://era.library.ualberta.ca/files/cr56n183g.

Council of Science Editors:

Graves D. Development of Partially Supervised Kernel-based Proximity Clustering Frameworks and Their Applications. [Doctoral Dissertation]. University of Alberta; 2011. Available from: https://era.library.ualberta.ca/files/cr56n183g


University of South Florida

7. Na, Shuang. Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer.

Degree: 2017, University of South Florida

Time series analysis has been explored by the researchers in many areas such, as statistical research, engineering applications, medical analysis, and finance study. To represent… (more)

Subjects/Keywords: Online Empirical Bayesian; Time series segmentation; Kernel Density; Random Forest; human pattern recognition; Statistics and Probability

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

APA (6th Edition):

Na, S. (2017). Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/6915

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):

Na, Shuang. “Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer.” 2017. Thesis, University of South Florida. Accessed November 17, 2019. https://scholarcommons.usf.edu/etd/6915.

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

MLA Handbook (7th Edition):

Na, Shuang. “Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer.” 2017. Web. 17 Nov 2019.

Vancouver:

Na S. Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer. [Internet] [Thesis]. University of South Florida; 2017. [cited 2019 Nov 17]. Available from: https://scholarcommons.usf.edu/etd/6915.

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

Council of Science Editors:

Na S. Time Series Online Empirical Bayesian Kernel Density Segmentation: Applications in Real Time Activity Recognition Using Smartphone Accelerometer. [Thesis]. University of South Florida; 2017. Available from: https://scholarcommons.usf.edu/etd/6915

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


RMIT University

8. Sadri, A. Mining human mobility patterns from pervasive spatial and temporal data.

Degree: 2018, RMIT University

 Recent advances in communication, sensors and processors have made pervasive systems more computationally powerful and increasingly popular. These systems are deployed everywhere all the time(more)

Subjects/Keywords: Fields of Research; Pervasive signals; Spatio-temporal data; Trajectory prediction; Graph compression; Temporal segmentation; Time series analysis

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APA (6th Edition):

Sadri, A. (2018). Mining human mobility patterns from pervasive spatial and temporal data. (Thesis). RMIT University. Retrieved from http://researchbank.rmit.edu.au/view/rmit:162474

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):

Sadri, A. “Mining human mobility patterns from pervasive spatial and temporal data.” 2018. Thesis, RMIT University. Accessed November 17, 2019. http://researchbank.rmit.edu.au/view/rmit:162474.

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

MLA Handbook (7th Edition):

Sadri, A. “Mining human mobility patterns from pervasive spatial and temporal data.” 2018. Web. 17 Nov 2019.

Vancouver:

Sadri A. Mining human mobility patterns from pervasive spatial and temporal data. [Internet] [Thesis]. RMIT University; 2018. [cited 2019 Nov 17]. Available from: http://researchbank.rmit.edu.au/view/rmit:162474.

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

Council of Science Editors:

Sadri A. Mining human mobility patterns from pervasive spatial and temporal data. [Thesis]. RMIT University; 2018. Available from: http://researchbank.rmit.edu.au/view/rmit:162474

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

9. Himberg, Johan. From Insights to Innovations: Data Mining, Visualization, and User Interfaces.

Degree: 2004, Helsinki University of Technology

 This thesis is about data mining (DM) and visualization methods for gaining insight into multidimensional data. Novel, exploratory data analysis tools and adaptive user interfaces… (more)

Subjects/Keywords: adaptive user interface; adaptive keyboard; context-awareness; data mining; independent component analysis; information visualization; mobile-awareness; proximity preserving projection; self-organizing map; sensor fusion; time series segmentation; visual data mining

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APA (6th Edition):

Himberg, J. (2004). From Insights to Innovations: Data Mining, Visualization, and User Interfaces. (Thesis). Helsinki University of Technology. Retrieved from http://lib.tkk.fi/Diss/2004/isbn9512273373/

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):

Himberg, Johan. “From Insights to Innovations: Data Mining, Visualization, and User Interfaces.” 2004. Thesis, Helsinki University of Technology. Accessed November 17, 2019. http://lib.tkk.fi/Diss/2004/isbn9512273373/.

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

MLA Handbook (7th Edition):

Himberg, Johan. “From Insights to Innovations: Data Mining, Visualization, and User Interfaces.” 2004. Web. 17 Nov 2019.

Vancouver:

Himberg J. From Insights to Innovations: Data Mining, Visualization, and User Interfaces. [Internet] [Thesis]. Helsinki University of Technology; 2004. [cited 2019 Nov 17]. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273373/.

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

Council of Science Editors:

Himberg J. From Insights to Innovations: Data Mining, Visualization, and User Interfaces. [Thesis]. Helsinki University of Technology; 2004. Available from: http://lib.tkk.fi/Diss/2004/isbn9512273373/

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


University of Waterloo

10. Lin, Yi. Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation.

Degree: 2008, University of Waterloo

 A time series is composed of a sequence of data items that are measured at uniform intervals. Many application areas generate or manipulate time series,… (more)

Subjects/Keywords: time series; data mining; compression; non-uniform segmentation; scale space; dynamic programming

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APA (6th Edition):

Lin, Y. (2008). Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation. (Thesis). University of Waterloo. Retrieved from http://hdl.handle.net/10012/4013

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):

Lin, Yi. “Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation.” 2008. Thesis, University of Waterloo. Accessed November 17, 2019. http://hdl.handle.net/10012/4013.

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

MLA Handbook (7th Edition):

Lin, Yi. “Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation.” 2008. Web. 17 Nov 2019.

Vancouver:

Lin Y. Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation. [Internet] [Thesis]. University of Waterloo; 2008. [cited 2019 Nov 17]. Available from: http://hdl.handle.net/10012/4013.

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

Council of Science Editors:

Lin Y. Subseries Join and Compression of Time Series Data Based on Non-uniform Segmentation. [Thesis]. University of Waterloo; 2008. Available from: http://hdl.handle.net/10012/4013

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

11. Birari, Sayali. FMRI of gameplay.

Degree: MS, Computer Science, 2013, University of Georgia

 Video games have become an integral part of our lives. Studying the brain’s responses to video games becomes more and more important for many aspects… (more)

Subjects/Keywords: fMRI; game play; video game effect on the brain; granger causality analysis; task based stimuli; brain image segmentation; game design; DTI; time series; brain state.

…23 4.1 Time Series… …causality analysis, a mathematical approach was studied to perform the statistical time series… …fMRI run so that we can correlate the fMRI time series data with the gameplay data. 2.1 Brain… …At this point, the data provides a time series of samples for each voxel in the scanned… …volume. A variety of methods are used to correlate these voxel time series with the task in… 

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APA (6th Edition):

Birari, S. (2013). FMRI of gameplay. (Masters Thesis). University of Georgia. Retrieved from http://purl.galileo.usg.edu/uga_etd/birari_sayali_201308_ms

Chicago Manual of Style (16th Edition):

Birari, Sayali. “FMRI of gameplay.” 2013. Masters Thesis, University of Georgia. Accessed November 17, 2019. http://purl.galileo.usg.edu/uga_etd/birari_sayali_201308_ms.

MLA Handbook (7th Edition):

Birari, Sayali. “FMRI of gameplay.” 2013. Web. 17 Nov 2019.

Vancouver:

Birari S. FMRI of gameplay. [Internet] [Masters thesis]. University of Georgia; 2013. [cited 2019 Nov 17]. Available from: http://purl.galileo.usg.edu/uga_etd/birari_sayali_201308_ms.

Council of Science Editors:

Birari S. FMRI of gameplay. [Masters Thesis]. University of Georgia; 2013. Available from: http://purl.galileo.usg.edu/uga_etd/birari_sayali_201308_ms


Queensland University of Technology

12. Roberts, Geoff. Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs.

Degree: 1999, Queensland University of Technology

Subjects/Keywords: Signal processing; Time series analysis; Frequency spectra; Whale sounds; Humpback whale Vocalization; non-stationary; signals; signal processing; random process; classification; pattern recognition; detection; segmentation; discriminant function; Bayesian; Neyman Pearson; global significance level; multiple hypotheses; Bonferroni inequality; Bonferroni test; time-frequency; spectrogram; humpback whale; thesis; doctoral

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

APA (6th Edition):

Roberts, G. (1999). Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs. (Thesis). Queensland University of Technology. Retrieved from https://eprints.qut.edu.au/36136/

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):

Roberts, Geoff. “Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs.” 1999. Thesis, Queensland University of Technology. Accessed November 17, 2019. https://eprints.qut.edu.au/36136/.

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

MLA Handbook (7th Edition):

Roberts, Geoff. “Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs.” 1999. Web. 17 Nov 2019.

Vancouver:

Roberts G. Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs. [Internet] [Thesis]. Queensland University of Technology; 1999. [cited 2019 Nov 17]. Available from: https://eprints.qut.edu.au/36136/.

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

Council of Science Editors:

Roberts G. Classification of non-stationary signals using time-frequency representations and multiple hypotheses tests : an application to humpback whale songs. [Thesis]. Queensland University of Technology; 1999. Available from: https://eprints.qut.edu.au/36136/

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

.