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Level: thesis

You searched for subject:(classification). Showing records 1 – 30 of 103 total matches.

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Virginia Commonwealth University

1. Hess, Eric. Ramp Loss SVM with L1-Norm Regularizaion.

Degree: MS, Mathematical Sciences, 2014, Virginia Commonwealth University

  The Support Vector Machine (SVM) classification method has recently gained popularity due to the ease of implementing non-linear separating surfaces. SVM is an optimization… (more)

Subjects/Keywords: Classification; Support Vector Machines; Analysis

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

APA (6th Edition):

Hess, E. (2014). Ramp Loss SVM with L1-Norm Regularizaion. (Thesis). Virginia Commonwealth University. Retrieved from https://scholarscompass.vcu.edu/etd/3538

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):

Hess, Eric. “Ramp Loss SVM with L1-Norm Regularizaion.” 2014. Thesis, Virginia Commonwealth University. Accessed July 16, 2019. https://scholarscompass.vcu.edu/etd/3538.

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

MLA Handbook (7th Edition):

Hess, Eric. “Ramp Loss SVM with L1-Norm Regularizaion.” 2014. Web. 16 Jul 2019.

Vancouver:

Hess E. Ramp Loss SVM with L1-Norm Regularizaion. [Internet] [Thesis]. Virginia Commonwealth University; 2014. [cited 2019 Jul 16]. Available from: https://scholarscompass.vcu.edu/etd/3538.

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

Council of Science Editors:

Hess E. Ramp Loss SVM with L1-Norm Regularizaion. [Thesis]. Virginia Commonwealth University; 2014. Available from: https://scholarscompass.vcu.edu/etd/3538

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


University of Illinois – Urbana-Champaign

2. Yin, Zhijun. Exploring social tagging graph for web object classification.

Degree: MS, 0112, 2010, University of Illinois – Urbana-Champaign

 We study web object classification problem with the novel exploration of social tags. Automatically classifying web objects into manageable semantic categories has long been a… (more)

Subjects/Keywords: Web classification; Social tagging; Optimization

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

APA (6th Edition):

Yin, Z. (2010). Exploring social tagging graph for web object classification. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/14661

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):

Yin, Zhijun. “Exploring social tagging graph for web object classification.” 2010. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/14661.

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

MLA Handbook (7th Edition):

Yin, Zhijun. “Exploring social tagging graph for web object classification.” 2010. Web. 16 Jul 2019.

Vancouver:

Yin Z. Exploring social tagging graph for web object classification. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2010. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/14661.

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

Council of Science Editors:

Yin Z. Exploring social tagging graph for web object classification. [Thesis]. University of Illinois – Urbana-Champaign; 2010. Available from: http://hdl.handle.net/2142/14661

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


University of Illinois – Urbana-Champaign

3. Shi, Honghui. Galaxy classification with deep convolutional neural networks.

Degree: MS, Electrical & Computer Engr, 2016, University of Illinois – Urbana-Champaign

 Galaxy classification, using digital images captured from sky surveys to determine the galaxy morphological classes, is of great interest to astronomy researchers. Conventional methods rely… (more)

Subjects/Keywords: Galaxy Classification; Convolutional Neural Networks

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APA (6th Edition):

Shi, H. (2016). Galaxy classification with deep convolutional neural networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/90939

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):

Shi, Honghui. “Galaxy classification with deep convolutional neural networks.” 2016. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/90939.

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

MLA Handbook (7th Edition):

Shi, Honghui. “Galaxy classification with deep convolutional neural networks.” 2016. Web. 16 Jul 2019.

Vancouver:

Shi H. Galaxy classification with deep convolutional neural networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2016. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/90939.

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

Council of Science Editors:

Shi H. Galaxy classification with deep convolutional neural networks. [Thesis]. University of Illinois – Urbana-Champaign; 2016. Available from: http://hdl.handle.net/2142/90939

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


University of Illinois – Urbana-Champaign

4. Zou, Yi. A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California.

Degree: MS, Geography, 2015, University of Illinois – Urbana-Champaign

 Maps of classified surface features are a key output from remote sensing. Conventional methods of pixel-based classification label each pixel independently by considering only a… (more)

Subjects/Keywords: High spatial resolution imagery; Contextual classification; Forest classification; Remote sensing; Lifeforms

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APA (6th Edition):

Zou, Y. (2015). A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/88215

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):

Zou, Yi. “A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California.” 2015. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/88215.

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

MLA Handbook (7th Edition):

Zou, Yi. “A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California.” 2015. Web. 16 Jul 2019.

Vancouver:

Zou Y. A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2015. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/88215.

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

Council of Science Editors:

Zou Y. A contextual classification approach for forest land cover mapping using high spatial resolution multispectral satellite imagery – a case study in Lake Tahoe, California. [Thesis]. University of Illinois – Urbana-Champaign; 2015. Available from: http://hdl.handle.net/2142/88215

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


University of Illinois – Urbana-Champaign

5. Huang, Jing. Fine-grained artworks classification.

Degree: MS, Computer Science, 2018, University of Illinois – Urbana-Champaign

 In this thesis, we apply deep convolutional neural networks to ne-grained artwork classification on the large-scale painting collection, WikiArt. We propose a new architecture that… (more)

Subjects/Keywords: Convolutional Neural Networks; Fine-grained Classification; Artworks Classification

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

APA (6th Edition):

Huang, J. (2018). Fine-grained artworks classification. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101050

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, Jing. “Fine-grained artworks classification.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/101050.

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

MLA Handbook (7th Edition):

Huang, Jing. “Fine-grained artworks classification.” 2018. Web. 16 Jul 2019.

Vancouver:

Huang J. Fine-grained artworks classification. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/101050.

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

Council of Science Editors:

Huang J. Fine-grained artworks classification. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101050

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

6. Liu, Zhongmao. Bayesian Classification Methods for Bat Call Identification.

Degree: MA(AM/MA), Statistics, 2018, Washington University in St. Louis

  Bat call classification is widely used in bat population monitoring in the field of ecology. Since bat populations are susceptible to changes in their… (more)

Subjects/Keywords: Classification; Bayesian

…ABSTRACT OF THE THESIS Bayesian Classification Methods for Bat Call Identification by Zhongmao… …Advisor: Professor Todd Kuffner Bat call classification is widely used in bat population… …classification methods applied to a data set extracted from audio recordings for different species of… …additive regression trees (BART). We find that BART achieves the lowest classification… …classification methods (Walters et al., 2013). In this thesis, we will compare 1 several… 

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

APA (6th Edition):

Liu, Z. (2018). Bayesian Classification Methods for Bat Call Identification. (Thesis). Washington University in St. Louis. Retrieved from https://openscholarship.wustl.edu/art_sci_etds/1287

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, Zhongmao. “Bayesian Classification Methods for Bat Call Identification.” 2018. Thesis, Washington University in St. Louis. Accessed July 16, 2019. https://openscholarship.wustl.edu/art_sci_etds/1287.

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

MLA Handbook (7th Edition):

Liu, Zhongmao. “Bayesian Classification Methods for Bat Call Identification.” 2018. Web. 16 Jul 2019.

Vancouver:

Liu Z. Bayesian Classification Methods for Bat Call Identification. [Internet] [Thesis]. Washington University in St. Louis; 2018. [cited 2019 Jul 16]. Available from: https://openscholarship.wustl.edu/art_sci_etds/1287.

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

Council of Science Editors:

Liu Z. Bayesian Classification Methods for Bat Call Identification. [Thesis]. Washington University in St. Louis; 2018. Available from: https://openscholarship.wustl.edu/art_sci_etds/1287

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


University of Illinois – Urbana-Champaign

7. Zhang, Thomas. Understanding user intents in online health forums.

Degree: MS, 0112, 2014, University of Illinois – Urbana-Champaign

 Online health forums provide a convenient way for patients to obtain medical information and connect with physicians and peers outside of clinical settings. However, the… (more)

Subjects/Keywords: Intent Classification; Forum Intents; Health Forums

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APA (6th Edition):

Zhang, T. (2014). Understanding user intents in online health forums. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50426

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, Thomas. “Understanding user intents in online health forums.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/50426.

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

MLA Handbook (7th Edition):

Zhang, Thomas. “Understanding user intents in online health forums.” 2014. Web. 16 Jul 2019.

Vancouver:

Zhang T. Understanding user intents in online health forums. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/50426.

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

Council of Science Editors:

Zhang T. Understanding user intents in online health forums. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50426

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


University of Tennessee – Knoxville

8. Haas, Nicholas Quentin. Automated Pollen Image Classification.

Degree: MS, Computer Science, 2011, University of Tennessee – Knoxville

  This Master of Science thesis reviews previous research, proposes a method anddemonstrates proof-of-concept software for the automated matching of pollen grainimages to satisfy degree… (more)

Subjects/Keywords: image classification; computer vision; pollen grain classification; shape matching; Other Computer Sciences

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APA (6th Edition):

Haas, N. Q. (2011). Automated Pollen Image Classification. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/1113

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):

Haas, Nicholas Quentin. “Automated Pollen Image Classification.” 2011. Thesis, University of Tennessee – Knoxville. Accessed July 16, 2019. https://trace.tennessee.edu/utk_gradthes/1113.

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

MLA Handbook (7th Edition):

Haas, Nicholas Quentin. “Automated Pollen Image Classification.” 2011. Web. 16 Jul 2019.

Vancouver:

Haas NQ. Automated Pollen Image Classification. [Internet] [Thesis]. University of Tennessee – Knoxville; 2011. [cited 2019 Jul 16]. Available from: https://trace.tennessee.edu/utk_gradthes/1113.

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

Council of Science Editors:

Haas NQ. Automated Pollen Image Classification. [Thesis]. University of Tennessee – Knoxville; 2011. Available from: https://trace.tennessee.edu/utk_gradthes/1113

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


Kennesaw State University

9. Kranzlein, Michael. A Multiple Classifier System for Predicting Best-Selling Amazon Products.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  In this work, I examine a dataset of Amazon product metadata and propose a heterogeneous multiple classifier system for the task of identifying best-selling… (more)

Subjects/Keywords: data analysis; ecommerce; image classification; machine learning; text classification; Other Computer Sciences

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APA (6th Edition):

Kranzlein, M. (2018). A Multiple Classifier System for Predicting Best-Selling Amazon Products. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/18

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):

Kranzlein, Michael. “A Multiple Classifier System for Predicting Best-Selling Amazon Products.” 2018. Thesis, Kennesaw State University. Accessed July 16, 2019. https://digitalcommons.kennesaw.edu/cs_etd/18.

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

MLA Handbook (7th Edition):

Kranzlein, Michael. “A Multiple Classifier System for Predicting Best-Selling Amazon Products.” 2018. Web. 16 Jul 2019.

Vancouver:

Kranzlein M. A Multiple Classifier System for Predicting Best-Selling Amazon Products. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2019 Jul 16]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/18.

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

Council of Science Editors:

Kranzlein M. A Multiple Classifier System for Predicting Best-Selling Amazon Products. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/18

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


Purdue University

10. Vagha, Aniketjayant. Strategy for Health Monitoring and Fault Detection in Heavy-Duty Diesel Engines.

Degree: MSME, Mechanical Engineering, 2013, Purdue University

  Performance tuning, health monitoring, fault diagnosis, etc. are important aspects of testing a pre-production engine out in the field. To fulfill these tasks, a… (more)

Subjects/Keywords: diesel engines; discriminant analysis; fault detection; statistical classification; Mechanical Engineering

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APA (6th Edition):

Vagha, A. (2013). Strategy for Health Monitoring and Fault Detection in Heavy-Duty Diesel Engines. (Thesis). Purdue University. Retrieved from http://docs.lib.purdue.edu/open_access_theses/108

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):

Vagha, Aniketjayant. “Strategy for Health Monitoring and Fault Detection in Heavy-Duty Diesel Engines.” 2013. Thesis, Purdue University. Accessed July 16, 2019. http://docs.lib.purdue.edu/open_access_theses/108.

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

MLA Handbook (7th Edition):

Vagha, Aniketjayant. “Strategy for Health Monitoring and Fault Detection in Heavy-Duty Diesel Engines.” 2013. Web. 16 Jul 2019.

Vancouver:

Vagha A. Strategy for Health Monitoring and Fault Detection in Heavy-Duty Diesel Engines. [Internet] [Thesis]. Purdue University; 2013. [cited 2019 Jul 16]. Available from: http://docs.lib.purdue.edu/open_access_theses/108.

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

Council of Science Editors:

Vagha A. Strategy for Health Monitoring and Fault Detection in Heavy-Duty Diesel Engines. [Thesis]. Purdue University; 2013. Available from: http://docs.lib.purdue.edu/open_access_theses/108

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

11. Dias, Katherine. Patients with low needs for nursing care prior to hospital discharge : implications for nursing efficiency.

Degree: MS, 1988, Oregon Health Sciences University

Subjects/Keywords: Patients  – classification; Patient Discharge

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APA (6th Edition):

Dias, K. (1988). Patients with low needs for nursing care prior to hospital discharge : implications for nursing efficiency. (Thesis). Oregon Health Sciences University. Retrieved from doi:10.6083/M4SJ1HQG ; http://digitalcommons.ohsu.edu/etd/1952

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):

Dias, Katherine. “Patients with low needs for nursing care prior to hospital discharge : implications for nursing efficiency.” 1988. Thesis, Oregon Health Sciences University. Accessed July 16, 2019. doi:10.6083/M4SJ1HQG ; http://digitalcommons.ohsu.edu/etd/1952.

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

MLA Handbook (7th Edition):

Dias, Katherine. “Patients with low needs for nursing care prior to hospital discharge : implications for nursing efficiency.” 1988. Web. 16 Jul 2019.

Vancouver:

Dias K. Patients with low needs for nursing care prior to hospital discharge : implications for nursing efficiency. [Internet] [Thesis]. Oregon Health Sciences University; 1988. [cited 2019 Jul 16]. Available from: doi:10.6083/M4SJ1HQG ; http://digitalcommons.ohsu.edu/etd/1952.

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

Council of Science Editors:

Dias K. Patients with low needs for nursing care prior to hospital discharge : implications for nursing efficiency. [Thesis]. Oregon Health Sciences University; 1988. Available from: doi:10.6083/M4SJ1HQG ; http://digitalcommons.ohsu.edu/etd/1952

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


Georgia State University

12. Wang, Xiaoyuan. Data Mining Analysis of the Parkinson's Disease.

Degree: MS, Mathematics and Statistics, 2014, Georgia State University

  Biological research is becoming increasingly database driven and statistical learning can be used to discover patterns in the biological data. In the thesis, the… (more)

Subjects/Keywords: Supervised Learning; Cross Validation; Prediction Analysis; Classification; Model Selection; ROC Curve

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APA (6th Edition):

Wang, X. (2014). Data Mining Analysis of the Parkinson's Disease. (Thesis). Georgia State University. Retrieved from https://scholarworks.gsu.edu/math_theses/143

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, Xiaoyuan. “Data Mining Analysis of the Parkinson's Disease.” 2014. Thesis, Georgia State University. Accessed July 16, 2019. https://scholarworks.gsu.edu/math_theses/143.

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

MLA Handbook (7th Edition):

Wang, Xiaoyuan. “Data Mining Analysis of the Parkinson's Disease.” 2014. Web. 16 Jul 2019.

Vancouver:

Wang X. Data Mining Analysis of the Parkinson's Disease. [Internet] [Thesis]. Georgia State University; 2014. [cited 2019 Jul 16]. Available from: https://scholarworks.gsu.edu/math_theses/143.

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

Council of Science Editors:

Wang X. Data Mining Analysis of the Parkinson's Disease. [Thesis]. Georgia State University; 2014. Available from: https://scholarworks.gsu.edu/math_theses/143

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


Lehigh University

13. Kafka, Adam. Caption Aided Action Recognition Using Single Images.

Degree: MS, Computer Science, 2017, Lehigh University

 In this paper, we attack the problem of classifying human actions from a single, static image. We propose that leveraging an automatic caption generator for… (more)

Subjects/Keywords: action; caption; classification; CNN; LSTM; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Kafka, A. (2017). Caption Aided Action Recognition Using Single Images. (Thesis). Lehigh University. Retrieved from https://preserve.lehigh.edu/etd/2653

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):

Kafka, Adam. “Caption Aided Action Recognition Using Single Images.” 2017. Thesis, Lehigh University. Accessed July 16, 2019. https://preserve.lehigh.edu/etd/2653.

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

MLA Handbook (7th Edition):

Kafka, Adam. “Caption Aided Action Recognition Using Single Images.” 2017. Web. 16 Jul 2019.

Vancouver:

Kafka A. Caption Aided Action Recognition Using Single Images. [Internet] [Thesis]. Lehigh University; 2017. [cited 2019 Jul 16]. Available from: https://preserve.lehigh.edu/etd/2653.

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

Council of Science Editors:

Kafka A. Caption Aided Action Recognition Using Single Images. [Thesis]. Lehigh University; 2017. Available from: https://preserve.lehigh.edu/etd/2653

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

14. Moger, Michael. Classification of Arbitrary Motion into a Canonical Basis.

Degree: MS, 2018, University of New Hampshire

 The Empatica E4 wristwatch utilizes four sensors to capture medical data from its user - an accelerometer, a plethysmograph, an electro-dermal activity sensor, and an… (more)

Subjects/Keywords: Empatica; Machine learning; Matching pursuit; Signal classification; Singular value decomposition

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APA (6th Edition):

Moger, M. (2018). Classification of Arbitrary Motion into a Canonical Basis. (Thesis). University of New Hampshire. Retrieved from https://scholars.unh.edu/thesis/1258

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):

Moger, Michael. “Classification of Arbitrary Motion into a Canonical Basis.” 2018. Thesis, University of New Hampshire. Accessed July 16, 2019. https://scholars.unh.edu/thesis/1258.

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

MLA Handbook (7th Edition):

Moger, Michael. “Classification of Arbitrary Motion into a Canonical Basis.” 2018. Web. 16 Jul 2019.

Vancouver:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Internet] [Thesis]. University of New Hampshire; 2018. [cited 2019 Jul 16]. Available from: https://scholars.unh.edu/thesis/1258.

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

Council of Science Editors:

Moger M. Classification of Arbitrary Motion into a Canonical Basis. [Thesis]. University of New Hampshire; 2018. Available from: https://scholars.unh.edu/thesis/1258

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


University of Tennessee – Knoxville

15. Schmidt, Erik Herman. Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data.

Degree: MS, Geography, 2016, University of Tennessee – Knoxville

  Geospatial data of national infrastructure are a valuable resource for visualization, analysis, and modeling. Building these geospatial foundation-level infrastructure datasets presents numerous challenges. Among… (more)

Subjects/Keywords: geography; energy; electric power; transmission lines; Minnesota; classification; Geographic Information Sciences

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

APA (6th Edition):

Schmidt, E. H. (2016). Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data. (Thesis). University of Tennessee – Knoxville. Retrieved from https://trace.tennessee.edu/utk_gradthes/3807

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):

Schmidt, Erik Herman. “Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data.” 2016. Thesis, University of Tennessee – Knoxville. Accessed July 16, 2019. https://trace.tennessee.edu/utk_gradthes/3807.

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

MLA Handbook (7th Edition):

Schmidt, Erik Herman. “Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data.” 2016. Web. 16 Jul 2019.

Vancouver:

Schmidt EH. Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data. [Internet] [Thesis]. University of Tennessee – Knoxville; 2016. [cited 2019 Jul 16]. Available from: https://trace.tennessee.edu/utk_gradthes/3807.

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

Council of Science Editors:

Schmidt EH. Classifying Nominal Voltage of Electric Power Transmission Lines Using Remotely-Sensed Data. [Thesis]. University of Tennessee – Knoxville; 2016. Available from: https://trace.tennessee.edu/utk_gradthes/3807

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


Kennesaw State University

16. Luo, Jhu-Sin. Malware Image Classification using Machine Learning with Local Binary Pattern.

Degree: MSCS, Computer Science, 2018, Kennesaw State University

  Malware classification is a critical part in the cybersecurity. Traditional methodologies for the malware classification typically use static analysis and dynamic analysis to identify… (more)

Subjects/Keywords: malware; classification; machine learning; visualization; local binary pattern; Information Security

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APA (6th Edition):

Luo, J. (2018). Malware Image Classification using Machine Learning with Local Binary Pattern. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/16

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):

Luo, Jhu-Sin. “Malware Image Classification using Machine Learning with Local Binary Pattern.” 2018. Thesis, Kennesaw State University. Accessed July 16, 2019. https://digitalcommons.kennesaw.edu/cs_etd/16.

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

MLA Handbook (7th Edition):

Luo, Jhu-Sin. “Malware Image Classification using Machine Learning with Local Binary Pattern.” 2018. Web. 16 Jul 2019.

Vancouver:

Luo J. Malware Image Classification using Machine Learning with Local Binary Pattern. [Internet] [Thesis]. Kennesaw State University; 2018. [cited 2019 Jul 16]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/16.

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

Council of Science Editors:

Luo J. Malware Image Classification using Machine Learning with Local Binary Pattern. [Thesis]. Kennesaw State University; 2018. Available from: https://digitalcommons.kennesaw.edu/cs_etd/16

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


University of Wisconsin – Milwaukee

17. Kurmally, Adam. Question Classification in the Cancer Domain.

Degree: MS, Computer Science, 2012, University of Wisconsin – Milwaukee

  We are investigating question classification for restricted domains with the broader goal of supporting mixed-initiative interaction on mobile phones. In this thesis, we present… (more)

Subjects/Keywords: Dialogue-systems; question-answering; question-classification; SMS; Computer Sciences

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APA (6th Edition):

Kurmally, A. (2012). Question Classification in the Cancer Domain. (Thesis). University of Wisconsin – Milwaukee. Retrieved from https://dc.uwm.edu/etd/19

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):

Kurmally, Adam. “Question Classification in the Cancer Domain.” 2012. Thesis, University of Wisconsin – Milwaukee. Accessed July 16, 2019. https://dc.uwm.edu/etd/19.

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

MLA Handbook (7th Edition):

Kurmally, Adam. “Question Classification in the Cancer Domain.” 2012. Web. 16 Jul 2019.

Vancouver:

Kurmally A. Question Classification in the Cancer Domain. [Internet] [Thesis]. University of Wisconsin – Milwaukee; 2012. [cited 2019 Jul 16]. Available from: https://dc.uwm.edu/etd/19.

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

Council of Science Editors:

Kurmally A. Question Classification in the Cancer Domain. [Thesis]. University of Wisconsin – Milwaukee; 2012. Available from: https://dc.uwm.edu/etd/19

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

18. Hall, John William. Examination of machine learning methods for multi-label classification of intellectual property documents.

Degree: MA, Linguistics, 2017, University of Illinois – Urbana-Champaign

 This thesis explores the performance of a variety of machine learning techniques for the task of multi-label document classification applied to a corpus of United… (more)

Subjects/Keywords: Machine learning; Multi-label classification; Multi-class classification; Patent classification; Document classification

…property claims. 1.2 Cooperative Patent Classification The primary schema used in patent… …classification in North America and Europe is the Cooperative Patent Classification (CPC)… …classification term indicating the subject of application/grant. Additional classification terms may be… …fifth level of classification, a tag of “00” indicates classification into the “main group… …other digits indicate the corresponding subgroup of classification. The main 5|Page group… 

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

APA (6th Edition):

Hall, J. W. (2017). Examination of machine learning methods for multi-label classification of intellectual property documents. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97430

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):

Hall, John William. “Examination of machine learning methods for multi-label classification of intellectual property documents.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/97430.

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

MLA Handbook (7th Edition):

Hall, John William. “Examination of machine learning methods for multi-label classification of intellectual property documents.” 2017. Web. 16 Jul 2019.

Vancouver:

Hall JW. Examination of machine learning methods for multi-label classification of intellectual property documents. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/97430.

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

Council of Science Editors:

Hall JW. Examination of machine learning methods for multi-label classification of intellectual property documents. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97430

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


University of Illinois – Urbana-Champaign

19. Gao, Yunlong. The emergency transcriber: a situation-aware recording system for noisy acoustic environments.

Degree: MS, 0112, 2014, University of Illinois – Urbana-Champaign

 The thesis presents a novel situation awareness tool for sensing classification. We proposed a general scheme for sensing, and applied that to build an acoustic… (more)

Subjects/Keywords: Cyber-physical System; Sensing Classification; Speech Recognition; Situation Awareness; Emergency Personnel

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APA (6th Edition):

Gao, Y. (2014). The emergency transcriber: a situation-aware recording system for noisy acoustic environments. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/50632

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):

Gao, Yunlong. “The emergency transcriber: a situation-aware recording system for noisy acoustic environments.” 2014. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/50632.

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

MLA Handbook (7th Edition):

Gao, Yunlong. “The emergency transcriber: a situation-aware recording system for noisy acoustic environments.” 2014. Web. 16 Jul 2019.

Vancouver:

Gao Y. The emergency transcriber: a situation-aware recording system for noisy acoustic environments. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2014. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/50632.

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

Council of Science Editors:

Gao Y. The emergency transcriber: a situation-aware recording system for noisy acoustic environments. [Thesis]. University of Illinois – Urbana-Champaign; 2014. Available from: http://hdl.handle.net/2142/50632

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. Shang, Jingbo. DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 In the literature, two series of models have been proposed to address prediction problems including classification and regression. Simple models, such as generalized linear models,… (more)

Subjects/Keywords: Discriminative pattern; Explanatory; Concise; Classification; Regression; Biomedical application

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APA (6th Edition):

Shang, J. (2017). DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/97418

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, Jingbo. “DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/97418.

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

MLA Handbook (7th Edition):

Shang, Jingbo. “DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications.” 2017. Web. 16 Jul 2019.

Vancouver:

Shang J. DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/97418.

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

Council of Science Editors:

Shang J. DPPred: an effective prediction framework with concise discriminative patterns and its biomedical applications. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/97418

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


University of Illinois – Urbana-Champaign

21. Kedia, Manav. Fine-grained painting classification.

Degree: MS, Computer Science, 2017, University of Illinois – Urbana-Champaign

 A lot of progress has been made in the domain of image classification in the deep learning era, however, not so much for paintings. Even… (more)

Subjects/Keywords: Painting; Classification; Styles; Artist; Multi-task; Visual Geometry Group (VGG)

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APA (6th Edition):

Kedia, M. (2017). Fine-grained painting classification. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/99388

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):

Kedia, Manav. “Fine-grained painting classification.” 2017. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/99388.

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

MLA Handbook (7th Edition):

Kedia, Manav. “Fine-grained painting classification.” 2017. Web. 16 Jul 2019.

Vancouver:

Kedia M. Fine-grained painting classification. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2017. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/99388.

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

Council of Science Editors:

Kedia M. Fine-grained painting classification. [Thesis]. University of Illinois – Urbana-Champaign; 2017. Available from: http://hdl.handle.net/2142/99388

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

22. Drake, Levi Alexander. The impacts of voluntary private lands programs on stream fish diversity in the Kaskaskia River Basin, Illinois.

Degree: MS, Natural Resources and Environmental Science, 2018, University of Illinois – Urbana-Champaign

 Freshwaters support over 40% of fish species diversity, as well as one-third of all vertebrate species, yet remain one of the most threatened habitats globally.… (more)

Subjects/Keywords: Conservation Reserve Program; Random Forests; Classification; species pool; fish; Illinois; Kaskaskia

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APA (6th Edition):

Drake, L. A. (2018). The impacts of voluntary private lands programs on stream fish diversity in the Kaskaskia River Basin, Illinois. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101486

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):

Drake, Levi Alexander. “The impacts of voluntary private lands programs on stream fish diversity in the Kaskaskia River Basin, Illinois.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/101486.

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

MLA Handbook (7th Edition):

Drake, Levi Alexander. “The impacts of voluntary private lands programs on stream fish diversity in the Kaskaskia River Basin, Illinois.” 2018. Web. 16 Jul 2019.

Vancouver:

Drake LA. The impacts of voluntary private lands programs on stream fish diversity in the Kaskaskia River Basin, Illinois. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/101486.

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

Council of Science Editors:

Drake LA. The impacts of voluntary private lands programs on stream fish diversity in the Kaskaskia River Basin, Illinois. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101486

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

23. Ji, Ming. Graph regularized transductive classification on heterogeneous information networks.

Degree: MS, 0112, 2012, University of Illinois – Urbana-Champaign

 A heterogeneous information network is a network composed of multiple types of objects and links. Recently, it has been recognized that strongly-typed heterogeneous information networks… (more)

Subjects/Keywords: classification; heterogeneous information networks

…information. Classification can help discover the hidden structure of the information network, and… …cast as a classification problem [11] [15]. Generally, classification can… …be categorized into two groups: (1) transductive classification [10]… …unlabeled data; and (2) inductive classification [9] [15] [12… …In this paper, we focus on transductive classification, which is a common scenario in… 

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APA (6th Edition):

Ji, M. (2012). Graph regularized transductive classification on heterogeneous information networks. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/29721

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):

Ji, Ming. “Graph regularized transductive classification on heterogeneous information networks.” 2012. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/29721.

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

MLA Handbook (7th Edition):

Ji, Ming. “Graph regularized transductive classification on heterogeneous information networks.” 2012. Web. 16 Jul 2019.

Vancouver:

Ji M. Graph regularized transductive classification on heterogeneous information networks. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2012. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/29721.

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

Council of Science Editors:

Ji M. Graph regularized transductive classification on heterogeneous information networks. [Thesis]. University of Illinois – Urbana-Champaign; 2012. Available from: http://hdl.handle.net/2142/29721

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


University of Illinois – Urbana-Champaign

24. Eddy, James A. Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC).

Degree: MS, 0408, 2011, University of Illinois – Urbana-Champaign

 A powerful way to separate signal from noise in biology is to convert the molecular data from individual genes or proteins into an analysis of… (more)

Subjects/Keywords: Systems biology; network analysis; gene expression; disease classification

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APA (6th Edition):

Eddy, J. A. (2011). Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC). (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/18432

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):

Eddy, James A. “Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC).” 2011. Thesis, University of Illinois – Urbana-Champaign. Accessed July 16, 2019. http://hdl.handle.net/2142/18432.

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

MLA Handbook (7th Edition):

Eddy, James A. “Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC).” 2011. Web. 16 Jul 2019.

Vancouver:

Eddy JA. Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC). [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2011. [cited 2019 Jul 16]. Available from: http://hdl.handle.net/2142/18432.

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

Council of Science Editors:

Eddy JA. Identifying tightly regulated and variably expressed networks by differential rank conservation (DIRAC). [Thesis]. University of Illinois – Urbana-Champaign; 2011. Available from: http://hdl.handle.net/2142/18432

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


North Carolina State University

25. Swain, Jeff B. The effect of spatial resolution on an object-oriented classification of downed timber.

Degree: MS, Forestry, 2007, North Carolina State University

Subjects/Keywords: Feature Analyst; Object-oriented Classification

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APA (6th Edition):

Swain, J. B. (2007). The effect of spatial resolution on an object-oriented classification of downed timber. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1607

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):

Swain, Jeff B. “The effect of spatial resolution on an object-oriented classification of downed timber.” 2007. Thesis, North Carolina State University. Accessed July 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/1607.

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

MLA Handbook (7th Edition):

Swain, Jeff B. “The effect of spatial resolution on an object-oriented classification of downed timber.” 2007. Web. 16 Jul 2019.

Vancouver:

Swain JB. The effect of spatial resolution on an object-oriented classification of downed timber. [Internet] [Thesis]. North Carolina State University; 2007. [cited 2019 Jul 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1607.

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

Council of Science Editors:

Swain JB. The effect of spatial resolution on an object-oriented classification of downed timber. [Thesis]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1607

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


North Carolina State University

26. Patel, Parita. Classification and Modeling of Internet Applications.

Degree: MS, Electrical Engineering, 2004, North Carolina State University

 The classification of Internet traffic is an active research topic due to its applicability in the areas like differentiated services and network security. The introduction… (more)

Subjects/Keywords: modeling; clustering; classification; network traffic

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APA (6th Edition):

Patel, P. (2004). Classification and Modeling of Internet Applications. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1009

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):

Patel, Parita. “Classification and Modeling of Internet Applications.” 2004. Thesis, North Carolina State University. Accessed July 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/1009.

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

MLA Handbook (7th Edition):

Patel, Parita. “Classification and Modeling of Internet Applications.” 2004. Web. 16 Jul 2019.

Vancouver:

Patel P. Classification and Modeling of Internet Applications. [Internet] [Thesis]. North Carolina State University; 2004. [cited 2019 Jul 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1009.

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

Council of Science Editors:

Patel P. Classification and Modeling of Internet Applications. [Thesis]. North Carolina State University; 2004. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1009

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


North Carolina State University

27. Wall, Wade Alan. Characterization of a North Carolina Lower Coastal Plain Wet Pine Savanna.

Degree: MS, Botany, 2007, North Carolina State University

 Savannas in the southeastern United States formerly occurred from East Texas to southern Virginia. Logging, conversion to agriculture, and fire suppression have reduced their area… (more)

Subjects/Keywords: savanna; NMDS; ordination; classification; CART

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APA (6th Edition):

Wall, W. A. (2007). Characterization of a North Carolina Lower Coastal Plain Wet Pine Savanna. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/2569

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):

Wall, Wade Alan. “Characterization of a North Carolina Lower Coastal Plain Wet Pine Savanna.” 2007. Thesis, North Carolina State University. Accessed July 16, 2019. http://www.lib.ncsu.edu/resolver/1840.16/2569.

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

MLA Handbook (7th Edition):

Wall, Wade Alan. “Characterization of a North Carolina Lower Coastal Plain Wet Pine Savanna.” 2007. Web. 16 Jul 2019.

Vancouver:

Wall WA. Characterization of a North Carolina Lower Coastal Plain Wet Pine Savanna. [Internet] [Thesis]. North Carolina State University; 2007. [cited 2019 Jul 16]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2569.

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

Council of Science Editors:

Wall WA. Characterization of a North Carolina Lower Coastal Plain Wet Pine Savanna. [Thesis]. North Carolina State University; 2007. Available from: http://www.lib.ncsu.edu/resolver/1840.16/2569

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


University of New Orleans

28. English, Amanda M. Land Cover Change Analysis of the Mississippi Gulf Coast from 1975 to 2005 using Landsat MSS and TM Imagery.

Degree: MA, Geography, 2011, University of New Orleans

 The population, employment and housing units along the Gulf Coast of Mississippi have been increasing since the 1970s through the 2000s. In this study, an… (more)

Subjects/Keywords: Land Cover Land Use; Land Cover Classification; Remote Sensing

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

APA (6th Edition):

English, A. M. (2011). Land Cover Change Analysis of the Mississippi Gulf Coast from 1975 to 2005 using Landsat MSS and TM Imagery. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/1306

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):

English, Amanda M. “Land Cover Change Analysis of the Mississippi Gulf Coast from 1975 to 2005 using Landsat MSS and TM Imagery.” 2011. Thesis, University of New Orleans. Accessed July 16, 2019. https://scholarworks.uno.edu/td/1306.

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

MLA Handbook (7th Edition):

English, Amanda M. “Land Cover Change Analysis of the Mississippi Gulf Coast from 1975 to 2005 using Landsat MSS and TM Imagery.” 2011. Web. 16 Jul 2019.

Vancouver:

English AM. Land Cover Change Analysis of the Mississippi Gulf Coast from 1975 to 2005 using Landsat MSS and TM Imagery. [Internet] [Thesis]. University of New Orleans; 2011. [cited 2019 Jul 16]. Available from: https://scholarworks.uno.edu/td/1306.

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

Council of Science Editors:

English AM. Land Cover Change Analysis of the Mississippi Gulf Coast from 1975 to 2005 using Landsat MSS and TM Imagery. [Thesis]. University of New Orleans; 2011. Available from: https://scholarworks.uno.edu/td/1306

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

29. Zhou, Zhichong. Ultra-Wideband Radar Based Human Motion Analysis.

Degree: MS, Computer Science and Engineering, 2016, U of Denver

  This thesis proposes and investigates two techniques in ultra-wideband (UWB) radar based human motion analysis. The first one is accurate human body landmark detection… (more)

Subjects/Keywords: CFAR; Human Motion Classification; Landmark Detection; UWB Radar; Biomedical Engineering and Bioengineering; Engineering

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

APA (6th Edition):

Zhou, Z. (2016). Ultra-Wideband Radar Based Human Motion Analysis. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1169

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):

Zhou, Zhichong. “Ultra-Wideband Radar Based Human Motion Analysis.” 2016. Thesis, U of Denver. Accessed July 16, 2019. https://digitalcommons.du.edu/etd/1169.

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

MLA Handbook (7th Edition):

Zhou, Zhichong. “Ultra-Wideband Radar Based Human Motion Analysis.” 2016. Web. 16 Jul 2019.

Vancouver:

Zhou Z. Ultra-Wideband Radar Based Human Motion Analysis. [Internet] [Thesis]. U of Denver; 2016. [cited 2019 Jul 16]. Available from: https://digitalcommons.du.edu/etd/1169.

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

Council of Science Editors:

Zhou Z. Ultra-Wideband Radar Based Human Motion Analysis. [Thesis]. U of Denver; 2016. Available from: https://digitalcommons.du.edu/etd/1169

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

30. Stephens, Terence L. DNA barcoding of Jatropha curcas.

Degree: MS, Biology, 2013, Eastern Washington University

  "DNA barcoding involves sequencing a standard region of DNA to be used as a tool for rapid species identification. The cytochrome C oxidase gene… (more)

Subjects/Keywords: DNA fingerprinting of plants; Plant genetic engineering; Jatropha – Genetics; Biology – Classification; Genetic markers; Biology

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

APA (6th Edition):

Stephens, T. L. (2013). DNA barcoding of Jatropha curcas. (Thesis). Eastern Washington University. Retrieved from http://dc.ewu.edu/theses/173

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):

Stephens, Terence L. “DNA barcoding of Jatropha curcas.” 2013. Thesis, Eastern Washington University. Accessed July 16, 2019. http://dc.ewu.edu/theses/173.

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

MLA Handbook (7th Edition):

Stephens, Terence L. “DNA barcoding of Jatropha curcas.” 2013. Web. 16 Jul 2019.

Vancouver:

Stephens TL. DNA barcoding of Jatropha curcas. [Internet] [Thesis]. Eastern Washington University; 2013. [cited 2019 Jul 16]. Available from: http://dc.ewu.edu/theses/173.

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

Council of Science Editors:

Stephens TL. DNA barcoding of Jatropha curcas. [Thesis]. Eastern Washington University; 2013. Available from: http://dc.ewu.edu/theses/173

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

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