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You searched for subject:(feature set). Showing records 1 – 29 of 29 total matches.

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University of Limerick

1. Razzaq, Abdul. Towards more reliable cross-comparison of feature location techniques.

Degree: 2019, University of Limerick

Feature location (FL) is the task of finding the source code that implements a specific, user-observable functionality in a software system. Given its key role… (more)

Subjects/Keywords: feature location (FL); FLTs; feature-set-difference

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APA (6th Edition):

Razzaq, A. (2019). Towards more reliable cross-comparison of feature location techniques. (Thesis). University of Limerick. Retrieved from http://hdl.handle.net/10344/8491

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):

Razzaq, Abdul. “Towards more reliable cross-comparison of feature location techniques.” 2019. Thesis, University of Limerick. Accessed March 28, 2020. http://hdl.handle.net/10344/8491.

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

MLA Handbook (7th Edition):

Razzaq, Abdul. “Towards more reliable cross-comparison of feature location techniques.” 2019. Web. 28 Mar 2020.

Vancouver:

Razzaq A. Towards more reliable cross-comparison of feature location techniques. [Internet] [Thesis]. University of Limerick; 2019. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10344/8491.

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

Council of Science Editors:

Razzaq A. Towards more reliable cross-comparison of feature location techniques. [Thesis]. University of Limerick; 2019. Available from: http://hdl.handle.net/10344/8491

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


University of Saskatchewan

2. Zhang, Rui 1990-. Differentiating population spatial behaviour using a standard feature set.

Degree: 2019, University of Saskatchewan

 Moving through space, consuming services at locations, transitioning and dwelling are all aspects of spatial behavior that can be recorded with unprecedented ease and accuracy… (more)

Subjects/Keywords: human spatial behaviour; feature set

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APA (6th Edition):

Zhang, R. 1. (2019). Differentiating population spatial behaviour using a standard feature set. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/12204

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, Rui 1990-. “Differentiating population spatial behaviour using a standard feature set.” 2019. Thesis, University of Saskatchewan. Accessed March 28, 2020. http://hdl.handle.net/10388/12204.

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

MLA Handbook (7th Edition):

Zhang, Rui 1990-. “Differentiating population spatial behaviour using a standard feature set.” 2019. Web. 28 Mar 2020.

Vancouver:

Zhang R1. Differentiating population spatial behaviour using a standard feature set. [Internet] [Thesis]. University of Saskatchewan; 2019. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10388/12204.

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

Council of Science Editors:

Zhang R1. Differentiating population spatial behaviour using a standard feature set. [Thesis]. University of Saskatchewan; 2019. Available from: http://hdl.handle.net/10388/12204

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


University of Newcastle

3. Rocha de Paula, Mateus. Efficient methods of feature selection based on combinatorial optimization motivated by the analysis of large biological datasets.

Degree: PhD, 2013, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

Intuitively, the Feature Selection problem is to choose a subset of a given a set of features that… (more)

Subjects/Keywords: Feature Selection; combinatorial optimization; heuristics; bioinformatics; (a,b)-k-Feature Set

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APA (6th Edition):

Rocha de Paula, M. (2013). Efficient methods of feature selection based on combinatorial optimization motivated by the analysis of large biological datasets. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/938563

Chicago Manual of Style (16th Edition):

Rocha de Paula, Mateus. “Efficient methods of feature selection based on combinatorial optimization motivated by the analysis of large biological datasets.” 2013. Doctoral Dissertation, University of Newcastle. Accessed March 28, 2020. http://hdl.handle.net/1959.13/938563.

MLA Handbook (7th Edition):

Rocha de Paula, Mateus. “Efficient methods of feature selection based on combinatorial optimization motivated by the analysis of large biological datasets.” 2013. Web. 28 Mar 2020.

Vancouver:

Rocha de Paula M. Efficient methods of feature selection based on combinatorial optimization motivated by the analysis of large biological datasets. [Internet] [Doctoral dissertation]. University of Newcastle; 2013. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/1959.13/938563.

Council of Science Editors:

Rocha de Paula M. Efficient methods of feature selection based on combinatorial optimization motivated by the analysis of large biological datasets. [Doctoral Dissertation]. University of Newcastle; 2013. Available from: http://hdl.handle.net/1959.13/938563


University of Newcastle

4. Jimenez, Francia. The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms.

Degree: PhD, 2019, University of Newcastle

Research Doctorate - Doctor of Philosophy (PhD)

In many application areas, the decision-making process is enhanced by the information obtained from analyzing data. In fact,… (more)

Subjects/Keywords: Feature Selection (FS); k-Feature Set Problem (k-FS); α; β)-k-Feature Set Problem (ABkFS); data integration

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APA (6th Edition):

Jimenez, F. (2019). The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms. (Doctoral Dissertation). University of Newcastle. Retrieved from http://hdl.handle.net/1959.13/1400428

Chicago Manual of Style (16th Edition):

Jimenez, Francia. “The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms.” 2019. Doctoral Dissertation, University of Newcastle. Accessed March 28, 2020. http://hdl.handle.net/1959.13/1400428.

MLA Handbook (7th Edition):

Jimenez, Francia. “The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms.” 2019. Web. 28 Mar 2020.

Vancouver:

Jimenez F. The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms. [Internet] [Doctoral dissertation]. University of Newcastle; 2019. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/1959.13/1400428.

Council of Science Editors:

Jimenez F. The multi-objective approach to solve the (alpha, beta)-k feature set problem using memetic algorithms. [Doctoral Dissertation]. University of Newcastle; 2019. Available from: http://hdl.handle.net/1959.13/1400428


NSYSU

5. Wu, Hsin-Fang. Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 Given a protein sequence and the Cα coordinates on its backbone, the all-atom protein backbone reconstruction problem (PBRP) is to reconstruct the backbone by its… (more)

Subjects/Keywords: backbone; bioinformatics; standard protein; support vector machine; feature set

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APA (6th Edition):

Wu, H. (2012). Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025

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

Chicago Manual of Style (16th Edition):

Wu, Hsin-Fang. “Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins.” 2012. Thesis, NSYSU. Accessed March 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025.

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

MLA Handbook (7th Edition):

Wu, Hsin-Fang. “Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins.” 2012. Web. 28 Mar 2020.

Vancouver:

Wu H. Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Mar 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025.

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

Council of Science Editors:

Wu H. Protein Backbone Reconstruction with Tool Preference Classification for Standard and Nonstandard Proteins. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0911112-132025

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


NSYSU

6. Ou, Ya-Hui. Detecting Targeted Attacks by Risk Evaluation.

Degree: PhD, Information Management, 2017, NSYSU

 More recently, the problems of targeted attack have been the major subject of study in the fields of network attack research due to the increase… (more)

Subjects/Keywords: targeted attack; feature reduce; rough set theory; intrusion detection system

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APA (6th Edition):

Ou, Y. (2017). Detecting Targeted Attacks by Risk Evaluation. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151

Chicago Manual of Style (16th Edition):

Ou, Ya-Hui. “Detecting Targeted Attacks by Risk Evaluation.” 2017. Doctoral Dissertation, NSYSU. Accessed March 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151.

MLA Handbook (7th Edition):

Ou, Ya-Hui. “Detecting Targeted Attacks by Risk Evaluation.” 2017. Web. 28 Mar 2020.

Vancouver:

Ou Y. Detecting Targeted Attacks by Risk Evaluation. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2020 Mar 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151.

Council of Science Editors:

Ou Y. Detecting Targeted Attacks by Risk Evaluation. [Doctoral Dissertation]. NSYSU; 2017. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0231117-135151


NSYSU

7. Wang, Tse-yao. The study of data preprocessing difference to impact the botnet detection performance.

Degree: PhD, Information Management, 2016, NSYSU

 Many studies employ machine learning to detect botnet C&C communications traffic quite effective. If the former data handled properly, it will affect the final detection… (more)

Subjects/Keywords: data transformation; machine learning; Botnet detection; Rough Set Theory; feature selection

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APA (6th Edition):

Wang, T. (2016). The study of data preprocessing difference to impact the botnet detection performance. (Doctoral Dissertation). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523

Chicago Manual of Style (16th Edition):

Wang, Tse-yao. “The study of data preprocessing difference to impact the botnet detection performance.” 2016. Doctoral Dissertation, NSYSU. Accessed March 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523.

MLA Handbook (7th Edition):

Wang, Tse-yao. “The study of data preprocessing difference to impact the botnet detection performance.” 2016. Web. 28 Mar 2020.

Vancouver:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Internet] [Doctoral dissertation]. NSYSU; 2016. [cited 2020 Mar 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523.

Council of Science Editors:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Doctoral Dissertation]. NSYSU; 2016. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0613116-112523


NSYSU

8. Yang, Zih-Jie. Prediction for the Essential Protein with the Support Vector Machine.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 Essential proteins affect the cellular life deeply, but it is hard to identify them. Protein-protein interaction is one of the ways to disclose whether a… (more)

Subjects/Keywords: bioinformatics; essential protein; protein-protein interaction; support vector machine; feature set

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APA (6th Edition):

Yang, Z. (2011). Prediction for the Essential Protein with the Support Vector Machine. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-094417

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):

Yang, Zih-Jie. “Prediction for the Essential Protein with the Support Vector Machine.” 2011. Thesis, NSYSU. Accessed March 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-094417.

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

MLA Handbook (7th Edition):

Yang, Zih-Jie. “Prediction for the Essential Protein with the Support Vector Machine.” 2011. Web. 28 Mar 2020.

Vancouver:

Yang Z. Prediction for the Essential Protein with the Support Vector Machine. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Mar 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-094417.

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

Council of Science Editors:

Yang Z. Prediction for the Essential Protein with the Support Vector Machine. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0906111-094417

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


University of North Texas

9. Liu, Siyuan. Learning from small data set for object recognition in mobile platforms.

Degree: 2016, University of North Texas

 Did you stand at a door with a bunch of keys and tried to find the right one to unlock the door? Did you hold… (more)

Subjects/Keywords: object recognition; machine learning; mobile platforms; small data set; feature extraction

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APA (6th Edition):

Liu, S. (2016). Learning from small data set for object recognition in mobile platforms. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc849633/

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, Siyuan. “Learning from small data set for object recognition in mobile platforms.” 2016. Thesis, University of North Texas. Accessed March 28, 2020. https://digital.library.unt.edu/ark:/67531/metadc849633/.

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

MLA Handbook (7th Edition):

Liu, Siyuan. “Learning from small data set for object recognition in mobile platforms.” 2016. Web. 28 Mar 2020.

Vancouver:

Liu S. Learning from small data set for object recognition in mobile platforms. [Internet] [Thesis]. University of North Texas; 2016. [cited 2020 Mar 28]. Available from: https://digital.library.unt.edu/ark:/67531/metadc849633/.

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. Learning from small data set for object recognition in mobile platforms. [Thesis]. University of North Texas; 2016. Available from: https://digital.library.unt.edu/ark:/67531/metadc849633/

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


Wright State University

10. Thapa, Mandira. Optimal Feature Selection for Spatial Histogram Classifiers.

Degree: MSEE, Electrical Engineering, 2017, Wright State University

 Point set classification methods are used to identify targets described by a spatial collection of points, each represented by a set of attributes. Relative to… (more)

Subjects/Keywords: Electrical Engineering; Point Set Classification; Optimal Feature Selection; Spatial Histogram; Pyramid Match Kernel; Pattern Recognition

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APA (6th Edition):

Thapa, M. (2017). Optimal Feature Selection for Spatial Histogram Classifiers. (Masters Thesis). Wright State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=wright1513710294627304

Chicago Manual of Style (16th Edition):

Thapa, Mandira. “Optimal Feature Selection for Spatial Histogram Classifiers.” 2017. Masters Thesis, Wright State University. Accessed March 28, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=wright1513710294627304.

MLA Handbook (7th Edition):

Thapa, Mandira. “Optimal Feature Selection for Spatial Histogram Classifiers.” 2017. Web. 28 Mar 2020.

Vancouver:

Thapa M. Optimal Feature Selection for Spatial Histogram Classifiers. [Internet] [Masters thesis]. Wright State University; 2017. [cited 2020 Mar 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1513710294627304.

Council of Science Editors:

Thapa M. Optimal Feature Selection for Spatial Histogram Classifiers. [Masters Thesis]. Wright State University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=wright1513710294627304


NSYSU

11. Jhou, Siao-ming. Taiwan Stock Forecasting with the Genetic Programming.

Degree: Master, Computer Science and Engineering, 2011, NSYSU

 In this thesis, we propose a model which applies the genetic programming (GP) to train the profitable and stable trading strategy in the training period,… (more)

Subjects/Keywords: Stock; Taiwan Stock Exchange Capitalization Weighted Stock Index; genetic programming; annualized return; feature set

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APA (6th Edition):

Jhou, S. (2011). Taiwan Stock Forecasting with the Genetic Programming. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-201917

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):

Jhou, Siao-ming. “Taiwan Stock Forecasting with the Genetic Programming.” 2011. Thesis, NSYSU. Accessed March 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-201917.

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

MLA Handbook (7th Edition):

Jhou, Siao-ming. “Taiwan Stock Forecasting with the Genetic Programming.” 2011. Web. 28 Mar 2020.

Vancouver:

Jhou S. Taiwan Stock Forecasting with the Genetic Programming. [Internet] [Thesis]. NSYSU; 2011. [cited 2020 Mar 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-201917.

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

Council of Science Editors:

Jhou S. Taiwan Stock Forecasting with the Genetic Programming. [Thesis]. NSYSU; 2011. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0907111-201917

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


Carnegie Mellon University

12. Liu, Chi. Nuclear Morphometry based Pattern Recognition in Pathology.

Degree: 2017, Carnegie Mellon University

 Given the strong association between aberrant nuclear morphology and tumor progression, changes in nuclear structure have remained the gold standard for cancer diagnosis for over… (more)

Subjects/Keywords: cancer detection; digital pathology; feature extraction; nuclear morphometry; nuclei segmentation; set classification

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APA (6th Edition):

Liu, C. (2017). Nuclear Morphometry based Pattern Recognition in Pathology. (Thesis). Carnegie Mellon University. Retrieved from http://repository.cmu.edu/dissertations/980

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, Chi. “Nuclear Morphometry based Pattern Recognition in Pathology.” 2017. Thesis, Carnegie Mellon University. Accessed March 28, 2020. http://repository.cmu.edu/dissertations/980.

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

MLA Handbook (7th Edition):

Liu, Chi. “Nuclear Morphometry based Pattern Recognition in Pathology.” 2017. Web. 28 Mar 2020.

Vancouver:

Liu C. Nuclear Morphometry based Pattern Recognition in Pathology. [Internet] [Thesis]. Carnegie Mellon University; 2017. [cited 2020 Mar 28]. Available from: http://repository.cmu.edu/dissertations/980.

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

Council of Science Editors:

Liu C. Nuclear Morphometry based Pattern Recognition in Pathology. [Thesis]. Carnegie Mellon University; 2017. Available from: http://repository.cmu.edu/dissertations/980

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


Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

13. Δίου, Χρήστος. Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση.

Degree: 2010, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ)

This work studies the problem of semantic analysis of multimedia data. Given a segment of a multimedia document and a set of clearly defined concepts,… (more)

Subjects/Keywords: Ανάκτηση πολυμέσων; Μηχανική μάθηση; Ανίχνευση εννοιών; Μετασχηματισμός χαρακτηριστικών; Παραγωγή συνόλων εκπαίδευσης; Εξαγωγή χαρακτηριστικών ήχου; Multimedia retrieval; Machine learning; Concept detection; Feature space transformation; Training set generation; Audio feature extraction

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APA (6th Edition):

Δίου, . . (2010). Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση. (Thesis). Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Retrieved from http://hdl.handle.net/10442/hedi/23671

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):

Δίου, Χρήστος. “Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση.” 2010. Thesis, Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ). Accessed March 28, 2020. http://hdl.handle.net/10442/hedi/23671.

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

MLA Handbook (7th Edition):

Δίου, Χρήστος. “Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση.” 2010. Web. 28 Mar 2020.

Vancouver:

Δίου . Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση. [Internet] [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2010. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10442/hedi/23671.

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

Council of Science Editors:

Δίου . Σημασιολογική ανάλυση σε πολυμεσικά δεδομένα με μηχανική μάθηση. [Thesis]. Aristotle University Of Thessaloniki (AUTH); Αριστοτέλειο Πανεπιστήμιο Θεσσαλονίκης (ΑΠΘ); 2010. Available from: http://hdl.handle.net/10442/hedi/23671

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


University of Manitoba

14. Vafabakhsh, Diba. Near sets in pattern similarity distance based classification.

Degree: Electrical and Computer Engineering, 2018, University of Manitoba

 This research is focused on studying the nearness theory, various neighbourhoods of points in proximity spaces and similarity measures which leads to discovering the set(more)

Subjects/Keywords: Nearness theory; Neighbourhoods; Proximity space; feature vector; Probe function; Spatial; Descriptive; Set pattern; Set pattern generation; Motif; Pattern; Pattern recognition; Similarity Measure; Pattern similarity distance; Saliency; Classification

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

APA (6th Edition):

Vafabakhsh, D. (2018). Near sets in pattern similarity distance based classification. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/32850

Chicago Manual of Style (16th Edition):

Vafabakhsh, Diba. “Near sets in pattern similarity distance based classification.” 2018. Masters Thesis, University of Manitoba. Accessed March 28, 2020. http://hdl.handle.net/1993/32850.

MLA Handbook (7th Edition):

Vafabakhsh, Diba. “Near sets in pattern similarity distance based classification.” 2018. Web. 28 Mar 2020.

Vancouver:

Vafabakhsh D. Near sets in pattern similarity distance based classification. [Internet] [Masters thesis]. University of Manitoba; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/1993/32850.

Council of Science Editors:

Vafabakhsh D. Near sets in pattern similarity distance based classification. [Masters Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/32850


NSYSU

15. Huang, Chang-Hao. Trading Strategy Mining with Gene Expression Programming.

Degree: Master, Computer Science and Engineering, 2012, NSYSU

 In the thesis, we apply the gene expression programming (GEP) to training profitable trading strategies. We propose a model which utilizes several historical periods that… (more)

Subjects/Keywords: Taiwan Stock Exchange Capitalization Weighted Stock Index; simple majority vote; feature set; strategy pool; gene expression programming

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APA (6th Edition):

Huang, C. (2012). Trading Strategy Mining with Gene Expression Programming. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-113643

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):

Huang, Chang-Hao. “Trading Strategy Mining with Gene Expression Programming.” 2012. Thesis, NSYSU. Accessed March 28, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-113643.

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

MLA Handbook (7th Edition):

Huang, Chang-Hao. “Trading Strategy Mining with Gene Expression Programming.” 2012. Web. 28 Mar 2020.

Vancouver:

Huang C. Trading Strategy Mining with Gene Expression Programming. [Internet] [Thesis]. NSYSU; 2012. [cited 2020 Mar 28]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-113643.

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

Council of Science Editors:

Huang C. Trading Strategy Mining with Gene Expression Programming. [Thesis]. NSYSU; 2012. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0912112-113643

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

16. Veon, Kevin. Video Stabilization Using SIFT Features, Fuzzy Clustering, and Kalman Filtering.

Degree: MS, Computer Engineering, 2011, U of Denver

  Video stabilization removes unwanted motion from video sequences, often caused by vibrations or other instabilities. This improves video viewability and can aid in detection… (more)

Subjects/Keywords: Computer vision applications; Fuzzy set theory; Kalman filtering; Motion estimation; Scale-invariant feature transform; Video stabilization; Computer Engineering; Hardware Systems

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

APA (6th Edition):

Veon, K. (2011). Video Stabilization Using SIFT Features, Fuzzy Clustering, and Kalman Filtering. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/675

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):

Veon, Kevin. “Video Stabilization Using SIFT Features, Fuzzy Clustering, and Kalman Filtering.” 2011. Thesis, U of Denver. Accessed March 28, 2020. https://digitalcommons.du.edu/etd/675.

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

MLA Handbook (7th Edition):

Veon, Kevin. “Video Stabilization Using SIFT Features, Fuzzy Clustering, and Kalman Filtering.” 2011. Web. 28 Mar 2020.

Vancouver:

Veon K. Video Stabilization Using SIFT Features, Fuzzy Clustering, and Kalman Filtering. [Internet] [Thesis]. U of Denver; 2011. [cited 2020 Mar 28]. Available from: https://digitalcommons.du.edu/etd/675.

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

Council of Science Editors:

Veon K. Video Stabilization Using SIFT Features, Fuzzy Clustering, and Kalman Filtering. [Thesis]. U of Denver; 2011. Available from: https://digitalcommons.du.edu/etd/675

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


Brigham Young University

17. Mortensen, Clifton H. A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic.

Degree: MS, 2010, Brigham Young University

 Computational fluid dynamics simulations are advancing to correctly simulate highly complex fluid flow problems that can require weeks of computation on expensive high performance clusters.… (more)

Subjects/Keywords: Clifton Mortensen; feature extraction; subjective logic; computational fluid dynamics; agent-based data mining; vortex core; massive data set post-processing; Mechanical Engineering

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

APA (6th Edition):

Mortensen, C. H. (2010). A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic. (Masters Thesis). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3207&context=etd

Chicago Manual of Style (16th Edition):

Mortensen, Clifton H. “A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic.” 2010. Masters Thesis, Brigham Young University. Accessed March 28, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3207&context=etd.

MLA Handbook (7th Edition):

Mortensen, Clifton H. “A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic.” 2010. Web. 28 Mar 2020.

Vancouver:

Mortensen CH. A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic. [Internet] [Masters thesis]. Brigham Young University; 2010. [cited 2020 Mar 28]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3207&context=etd.

Council of Science Editors:

Mortensen CH. A Computational Fluid Dynamics Feature Extraction Method Using Subjective Logic. [Masters Thesis]. Brigham Young University; 2010. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=3207&context=etd


University of Manitoba

18. Uchime, Chidoteremndu Chinonyelum. Near Sets in Set Pattern Classification.

Degree: Electrical and Computer Engineering, 2015, University of Manitoba

 This research is focused on the extraction of visual set patterns in digital images, using relational properties like nearness and similarity measures, as well as… (more)

Subjects/Keywords: pattern; pattern generation; pattern recognition; proximity space; visual set pattern; motif pattern; seed motif; description; perception; probe function; feature vector; binary classification; K-means; CBIR; salient; similarity measure; sensitivity; specificity

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

APA (6th Edition):

Uchime, C. C. (2015). Near Sets in Set Pattern Classification. (Masters Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/30264

Chicago Manual of Style (16th Edition):

Uchime, Chidoteremndu Chinonyelum. “Near Sets in Set Pattern Classification.” 2015. Masters Thesis, University of Manitoba. Accessed March 28, 2020. http://hdl.handle.net/1993/30264.

MLA Handbook (7th Edition):

Uchime, Chidoteremndu Chinonyelum. “Near Sets in Set Pattern Classification.” 2015. Web. 28 Mar 2020.

Vancouver:

Uchime CC. Near Sets in Set Pattern Classification. [Internet] [Masters thesis]. University of Manitoba; 2015. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/1993/30264.

Council of Science Editors:

Uchime CC. Near Sets in Set Pattern Classification. [Masters Thesis]. University of Manitoba; 2015. Available from: http://hdl.handle.net/1993/30264

19. Shakoor, Aamir. Soft computing based feature selection for environmental sound classifcation.

Degree: 2010, , School of Engineering

  The topic of this thesis work is soft computing based feature selection for environmental sound classification. Environmental sound classification systems have a wide range… (more)

Subjects/Keywords: environmental sound classification; feature selection; rough/fuzzy set theory; pattern recognition; soft computing.

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

APA (6th Edition):

Shakoor, A. (2010). Soft computing based feature selection for environmental sound classifcation. (Thesis). , School of Engineering. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3077

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):

Shakoor, Aamir. “Soft computing based feature selection for environmental sound classifcation.” 2010. Thesis, , School of Engineering. Accessed March 28, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3077.

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

MLA Handbook (7th Edition):

Shakoor, Aamir. “Soft computing based feature selection for environmental sound classifcation.” 2010. Web. 28 Mar 2020.

Vancouver:

Shakoor A. Soft computing based feature selection for environmental sound classifcation. [Internet] [Thesis]. , School of Engineering; 2010. [cited 2020 Mar 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3077.

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

Council of Science Editors:

Shakoor A. Soft computing based feature selection for environmental sound classifcation. [Thesis]. , School of Engineering; 2010. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-3077

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


University of Illinois – Urbana-Champaign

20. Chen, Gang. Image classification and feature selection.

Degree: PhD, 0329, 2012, University of Illinois – Urbana-Champaign

 Tissue classification and feature selection have been increasing studied during the last two decades, however the available methods are still limited and need improvement. In… (more)

Subjects/Keywords: Ultrasound tissue classification; feature selection, Level Set Segmentation; B-mode image; logistic regression; Variational Bayesian; Lasso; Elastic Net; Adaboost; Genetic Algorithm; map/reduce; cloud computing

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

APA (6th Edition):

Chen, G. (2012). Image classification and feature selection. (Doctoral Dissertation). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/31979

Chicago Manual of Style (16th Edition):

Chen, Gang. “Image classification and feature selection.” 2012. Doctoral Dissertation, University of Illinois – Urbana-Champaign. Accessed March 28, 2020. http://hdl.handle.net/2142/31979.

MLA Handbook (7th Edition):

Chen, Gang. “Image classification and feature selection.” 2012. Web. 28 Mar 2020.

Vancouver:

Chen G. Image classification and feature selection. [Internet] [Doctoral dissertation]. University of Illinois – Urbana-Champaign; 2012. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/2142/31979.

Council of Science Editors:

Chen G. Image classification and feature selection. [Doctoral Dissertation]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/31979

21. Song, Chenchen. On the Formal Flexibility of Syntactic Categories.

Degree: PhD, 2019, University of Cambridge

 This dissertation explores the formal flexibility of syntactic categories. The main proposal is that Universal Grammar (UG) only provides templatic guidance for syntactic category formation… (more)

Subjects/Keywords: syntactic category; formal syntax; feature theory; category theory; adjunction; compounding; immobile verb; sentence-final particle; emoji; root syntax; semifunctionality; register; flavored category; partially ordered set; resultative compound; Chinese; verbalizer; categorizer; universal spine; lexical category; functional category; granularity; foundations; universal grammar

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

APA (6th Edition):

Song, C. (2019). On the Formal Flexibility of Syntactic Categories. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/297789

Chicago Manual of Style (16th Edition):

Song, Chenchen. “On the Formal Flexibility of Syntactic Categories.” 2019. Doctoral Dissertation, University of Cambridge. Accessed March 28, 2020. https://www.repository.cam.ac.uk/handle/1810/297789.

MLA Handbook (7th Edition):

Song, Chenchen. “On the Formal Flexibility of Syntactic Categories.” 2019. Web. 28 Mar 2020.

Vancouver:

Song C. On the Formal Flexibility of Syntactic Categories. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Mar 28]. Available from: https://www.repository.cam.ac.uk/handle/1810/297789.

Council of Science Editors:

Song C. On the Formal Flexibility of Syntactic Categories. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/297789

22. Khoshnevis, H. Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text:.

Degree: 2012, Delft University of Technology

 This master thesis is about the sentiment analysis of the societal theme documents and categorizing them in positive or negative groups. The application of this… (more)

Subjects/Keywords: Support Vector Classifier; Linear Discriminate Classifier; Nearest Neighbor Classifier; Feature Set; Natural Language Processing; Sentiment Analysis

feature sets are explored. Feature Reduction and Evaluation methods are also investigated in… …the phone is good. Page 10 ( ) In this example the Explicit Feature is voice… …quality, but sometimes object-feature should be inferred from the sentence. This kind of feature… …is called “Implicit Feature”. For Example: The phone is too large. ( )… …classifier is inferred from training set. The classifier should predict the correct label (… 

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

APA (6th Edition):

Khoshnevis, H. (2012). Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:bdad6dd4-c730-406a-995f-563e74c04616

Chicago Manual of Style (16th Edition):

Khoshnevis, H. “Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text:.” 2012. Masters Thesis, Delft University of Technology. Accessed March 28, 2020. http://resolver.tudelft.nl/uuid:bdad6dd4-c730-406a-995f-563e74c04616.

MLA Handbook (7th Edition):

Khoshnevis, H. “Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text:.” 2012. Web. 28 Mar 2020.

Vancouver:

Khoshnevis H. Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text:. [Internet] [Masters thesis]. Delft University of Technology; 2012. [cited 2020 Mar 28]. Available from: http://resolver.tudelft.nl/uuid:bdad6dd4-c730-406a-995f-563e74c04616.

Council of Science Editors:

Khoshnevis H. Comparing Feature Sets and Classifiers for Sentiment Analysis of Opinionated Free Text:. [Masters Thesis]. Delft University of Technology; 2012. Available from: http://resolver.tudelft.nl/uuid:bdad6dd4-c730-406a-995f-563e74c04616

23. WANG BINFANG. An integrated Process Planning and Robust Fixture Design System.

Degree: 2010, National University of Singapore

Subjects/Keywords: set-up planning; fixture layout; feature-based technology; optimization; genetic algorithm; ant colony optimization

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APA (6th Edition):

BINFANG, W. (2010). An integrated Process Planning and Robust Fixture Design System. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/25049

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):

BINFANG, WANG. “An integrated Process Planning and Robust Fixture Design System.” 2010. Thesis, National University of Singapore. Accessed March 28, 2020. http://scholarbank.nus.edu.sg/handle/10635/25049.

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

MLA Handbook (7th Edition):

BINFANG, WANG. “An integrated Process Planning and Robust Fixture Design System.” 2010. Web. 28 Mar 2020.

Vancouver:

BINFANG W. An integrated Process Planning and Robust Fixture Design System. [Internet] [Thesis]. National University of Singapore; 2010. [cited 2020 Mar 28]. Available from: http://scholarbank.nus.edu.sg/handle/10635/25049.

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

Council of Science Editors:

BINFANG W. An integrated Process Planning and Robust Fixture Design System. [Thesis]. National University of Singapore; 2010. Available from: http://scholarbank.nus.edu.sg/handle/10635/25049

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

24. YANG YANG. Non-rigid Point Set Registration with Application to Human Masticatory Muscle Deformation.

Degree: 2013, National University of Singapore

Subjects/Keywords: Non-rigid point set registration; Global and local mixture distance; Multi-feature based framework; Masticatory muscle deformation

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APA (6th Edition):

YANG, Y. (2013). Non-rigid Point Set Registration with Application to Human Masticatory Muscle Deformation. (Thesis). National University of Singapore. Retrieved from http://scholarbank.nus.edu.sg/handle/10635/48346

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):

YANG, YANG. “Non-rigid Point Set Registration with Application to Human Masticatory Muscle Deformation.” 2013. Thesis, National University of Singapore. Accessed March 28, 2020. http://scholarbank.nus.edu.sg/handle/10635/48346.

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

MLA Handbook (7th Edition):

YANG, YANG. “Non-rigid Point Set Registration with Application to Human Masticatory Muscle Deformation.” 2013. Web. 28 Mar 2020.

Vancouver:

YANG Y. Non-rigid Point Set Registration with Application to Human Masticatory Muscle Deformation. [Internet] [Thesis]. National University of Singapore; 2013. [cited 2020 Mar 28]. Available from: http://scholarbank.nus.edu.sg/handle/10635/48346.

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

Council of Science Editors:

YANG Y. Non-rigid Point Set Registration with Application to Human Masticatory Muscle Deformation. [Thesis]. National University of Singapore; 2013. Available from: http://scholarbank.nus.edu.sg/handle/10635/48346

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

25. Song, Chenchen. On the formal flexibility of syntactic categories.

Degree: PhD, 2019, University of Cambridge

 This dissertation explores the formal flexibility of syntactic categories. The main proposal is that Universal Grammar (UG) only provides templatic guidance for syntactic category formation… (more)

Subjects/Keywords: syntactic category; formal syntax; feature theory; category theory; adjunction; compounding; immobile verb; sentence-final particle; emoji; root syntax; semifunctionality; register; flavored category; partially ordered set; resultative compound; Chinese; verbalizer; categorizer; universal spine; lexical category; functional category; granularity; foundations; universal grammar

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

APA (6th Edition):

Song, C. (2019). On the formal flexibility of syntactic categories. (Doctoral Dissertation). University of Cambridge. Retrieved from https://www.repository.cam.ac.uk/handle/1810/297789 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.787835

Chicago Manual of Style (16th Edition):

Song, Chenchen. “On the formal flexibility of syntactic categories.” 2019. Doctoral Dissertation, University of Cambridge. Accessed March 28, 2020. https://www.repository.cam.ac.uk/handle/1810/297789 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.787835.

MLA Handbook (7th Edition):

Song, Chenchen. “On the formal flexibility of syntactic categories.” 2019. Web. 28 Mar 2020.

Vancouver:

Song C. On the formal flexibility of syntactic categories. [Internet] [Doctoral dissertation]. University of Cambridge; 2019. [cited 2020 Mar 28]. Available from: https://www.repository.cam.ac.uk/handle/1810/297789 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.787835.

Council of Science Editors:

Song C. On the formal flexibility of syntactic categories. [Doctoral Dissertation]. University of Cambridge; 2019. Available from: https://www.repository.cam.ac.uk/handle/1810/297789 ; https://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.787835

26. Gerogiannis, Dimitrios. Feature extraction for image and point set analysis.

Degree: 2014, University of Ioannina; Πανεπιστήμιο Ιωαννίνων

This thesis is divided into two parts. The first part focuses on an algorithm that fits line segments to a set of unordered points and… (more)

Subjects/Keywords: Υπολογιστική όραση; Εξαγωγή χαρακτηριστικών; Εξαγωγή ευθυγράμμων τμημάτων; Εξαγωγή σημείου διαφυγής; Κωδικοποίηση σχήματος; Συμπίεση δυαδικής εικόνας; Υπέρθεση εικόνας; Υπέρθεση σημείων; Computer vision; Feature extraction; line segment extraction; Dlustering by line segments; Vanishing point detection; Shape encoding; Shape reconstruction; Bilevel image compression; Outlier removal; Helmholtz principal; Image registration; Point set registration

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

APA (6th Edition):

Gerogiannis, D. (2014). Feature extraction for image and point set analysis. (Thesis). University of Ioannina; Πανεπιστήμιο Ιωαννίνων. Retrieved from http://hdl.handle.net/10442/hedi/39530

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):

Gerogiannis, Dimitrios. “Feature extraction for image and point set analysis.” 2014. Thesis, University of Ioannina; Πανεπιστήμιο Ιωαννίνων. Accessed March 28, 2020. http://hdl.handle.net/10442/hedi/39530.

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

MLA Handbook (7th Edition):

Gerogiannis, Dimitrios. “Feature extraction for image and point set analysis.” 2014. Web. 28 Mar 2020.

Vancouver:

Gerogiannis D. Feature extraction for image and point set analysis. [Internet] [Thesis]. University of Ioannina; Πανεπιστήμιο Ιωαννίνων; 2014. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/10442/hedi/39530.

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

Council of Science Editors:

Gerogiannis D. Feature extraction for image and point set analysis. [Thesis]. University of Ioannina; Πανεπιστήμιο Ιωαννίνων; 2014. Available from: http://hdl.handle.net/10442/hedi/39530

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

27. Rogers, Benjamin Charles. Using Genetic Algorithms for Feature Set Selection in Text Mining.

Degree: MS, Computer Science & Software Engineering, 2014, Miami University

 The rationale behind design decisions are often recorded in different project documentation. One way to extract this rationale is by using text mining. Text mining… (more)

Subjects/Keywords: Artificial Intelligence; Computer Engineering; Computer Science; Information Science; genetic algorithms; feature set selection; text mining; design rationale; GATE; WEKA; pipeline

feature set preforms when used in text mining determines that individual’s fitness, which, in… …called GAFFS, or the Genetic Algorithm For Feature Set optimization. 1.1 Background When… …particular dataset used by the researcher. A simple solution to the optimal feature set problem is… …to include all of the possible features in the feature set. Aside from being uninteresting… …over two days to do so. Running a filter on the feature set would not reduce the time and… 

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

APA (6th Edition):

Rogers, B. C. (2014). Using Genetic Algorithms for Feature Set Selection in Text Mining. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1389811705

Chicago Manual of Style (16th Edition):

Rogers, Benjamin Charles. “Using Genetic Algorithms for Feature Set Selection in Text Mining.” 2014. Masters Thesis, Miami University. Accessed March 28, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1389811705.

MLA Handbook (7th Edition):

Rogers, Benjamin Charles. “Using Genetic Algorithms for Feature Set Selection in Text Mining.” 2014. Web. 28 Mar 2020.

Vancouver:

Rogers BC. Using Genetic Algorithms for Feature Set Selection in Text Mining. [Internet] [Masters thesis]. Miami University; 2014. [cited 2020 Mar 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1389811705.

Council of Science Editors:

Rogers BC. Using Genetic Algorithms for Feature Set Selection in Text Mining. [Masters Thesis]. Miami University; 2014. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1389811705

28. Skrodzki, Martin. Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen.

Degree: 2019, Freie Universität Berlin

 Die Arbeit beschäftigt sich mit drei Bereichen, die jeweils im Umfeld der Verarbeitung von Punktwolken verortet sind. Der erste Bereich betrifft Konzepte von Nachbarschaften sowie… (more)

Subjects/Keywords: Point Set; Data Structure; Combinatorics; Neighborhood; Feature Detection; Denoising; 500 Naturwissenschaften und Mathematik::510 Mathematik::516 Geometrie; 000 Informatik, Informationswissenschaft, allgemeine Werke::000 Informatik, Wissen, Systeme::004 Datenverarbeitung; Informatik

set in a feature-aware manner. It is done in a three-stage process. First, reliable normals… …set surfaces and their properties is not available. Points have been introduced in 1985 as… …several direct implications: Computation is performed on the point set and does not require any… …point set processing. In the following, we will shortly present each topic with its motivation… …neighborhood structure imposed on the point set. Despite their advantages in storage space and easy… 

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

APA (6th Edition):

Skrodzki, M. (2019). Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen. (Thesis). Freie Universität Berlin. Retrieved from http://dx.doi.org/10.17169/refubium-4023

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):

Skrodzki, Martin. “Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen.” 2019. Thesis, Freie Universität Berlin. Accessed March 28, 2020. http://dx.doi.org/10.17169/refubium-4023.

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

MLA Handbook (7th Edition):

Skrodzki, Martin. “Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen.” 2019. Web. 28 Mar 2020.

Vancouver:

Skrodzki M. Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen. [Internet] [Thesis]. Freie Universität Berlin; 2019. [cited 2020 Mar 28]. Available from: http://dx.doi.org/10.17169/refubium-4023.

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

Council of Science Editors:

Skrodzki M. Datenstrukturen für Nachbarschaften, Mannigfaltigkeitseigenschaften, und die Verarbeitung von Punktwolkenoberflächen. [Thesis]. Freie Universität Berlin; 2019. Available from: http://dx.doi.org/10.17169/refubium-4023

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

29. Khan, Muhammad Salman. Malvidence - a cognitive malware characterization framework.

Degree: Electrical and Computer Engineering, 2018, University of Manitoba

 The challenges of cyber security have outpaced the advantages of cyber tools and technologies. In 2018, World Economic Forum has already placed cyber security in… (more)

Subjects/Keywords: Fractals; Malware mutation; Anomaly detection; Clustering; Unsupervised machine learning; Malware characterization framework; Endpoint threat detection; EDR; Endpoint detection and response; Microsoft Windows; Process tree; Polymorphism; Metamorphism; Class imbalance; Class inseparability; Variance fractal dimension; Correlation fractal dimension; Information fractal dimension; Spectral fractal dimension; Graph theory; Time graphs; Cognitive machine intelligence; Cognitive computing; Cyber kill chain; Cognitive and concurrent cyber kill chain; Semantic analysis; Features; Attributes; k-means; fBm; Fractional Brownian motion process; Cyber security; Behavioral analytics; Host anomaly detection; Malware data set; Semantics; Cyber threat hunting; Threat model; Feature elicitation; Cyber defense; Cyber event triage; CSOC; Cyber Security Operation Center; Multiscale Analysis; Multifractal; Advanced Persistent Threats; APT; Obfuscation; Cyber deception; Cognitive informatics; Computational intelligence; SIEM; Security information and event management; Penetration testing; Proactive cyber security

…121 3.4 4. Malware Data Set… …149 4.1.1 4.2 Feature Selection Criteria… …151 4.2.2 Transformation of Data Set into Spatially Labelled Graph… …194 xi 5. 4.4 Feature Characterization and Clustering Performance Results of Malware… …Data Set.. 197 4.5 Analysis of Results… 

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

APA (6th Edition):

Khan, M. S. (2018). Malvidence - a cognitive malware characterization framework. (Thesis). University of Manitoba. Retrieved from http://hdl.handle.net/1993/33600

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):

Khan, Muhammad Salman. “Malvidence - a cognitive malware characterization framework.” 2018. Thesis, University of Manitoba. Accessed March 28, 2020. http://hdl.handle.net/1993/33600.

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

MLA Handbook (7th Edition):

Khan, Muhammad Salman. “Malvidence - a cognitive malware characterization framework.” 2018. Web. 28 Mar 2020.

Vancouver:

Khan MS. Malvidence - a cognitive malware characterization framework. [Internet] [Thesis]. University of Manitoba; 2018. [cited 2020 Mar 28]. Available from: http://hdl.handle.net/1993/33600.

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

Council of Science Editors:

Khan MS. Malvidence - a cognitive malware characterization framework. [Thesis]. University of Manitoba; 2018. Available from: http://hdl.handle.net/1993/33600

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

.