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You searched for subject:(Feature detection). Showing records 1 – 30 of 293 total matches.

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Dalhousie University

1. Falcon Lins, Rafael Jose. Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm.

Degree: Master of Computer Science, Faculty of Computer Science, 2010, Dalhousie University

 Mesh simplification is an important task in Computer Graphics due to the ever increasing complexity of polygonal geometric models. Specifically in real-time rendering, there is… (more)

Subjects/Keywords: mesh simplification; feature detection

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

APA (6th Edition):

Falcon Lins, R. J. (2010). Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm. (Masters Thesis). Dalhousie University. Retrieved from http://hdl.handle.net/10222/13071

Chicago Manual of Style (16th Edition):

Falcon Lins, Rafael Jose. “Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm.” 2010. Masters Thesis, Dalhousie University. Accessed January 24, 2020. http://hdl.handle.net/10222/13071.

MLA Handbook (7th Edition):

Falcon Lins, Rafael Jose. “Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm.” 2010. Web. 24 Jan 2020.

Vancouver:

Falcon Lins RJ. Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm. [Internet] [Masters thesis]. Dalhousie University; 2010. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10222/13071.

Council of Science Editors:

Falcon Lins RJ. Feature-Based Mesh Simplification With Quadric Error Metric Using A Line Simplification Algorithm. [Masters Thesis]. Dalhousie University; 2010. Available from: http://hdl.handle.net/10222/13071


King Abdullah University of Science and Technology

2. Shaker, Ghofran H. Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields.

Degree: 2019, King Abdullah University of Science and Technology

 Successful characterization of vortex structures in unsteady flow fields depend crucially upon an adequate choice of a reference frame. Vortex detection approaches in flow visualization… (more)

Subjects/Keywords: Vortices; Feature detection; Flow field

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APA (6th Edition):

Shaker, G. H. (2019). Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields. (Thesis). King Abdullah University of Science and Technology. Retrieved from http://hdl.handle.net/10754/656247

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):

Shaker, Ghofran H. “Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields.” 2019. Thesis, King Abdullah University of Science and Technology. Accessed January 24, 2020. http://hdl.handle.net/10754/656247.

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

MLA Handbook (7th Edition):

Shaker, Ghofran H. “Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields.” 2019. Web. 24 Jan 2020.

Vancouver:

Shaker GH. Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields. [Internet] [Thesis]. King Abdullah University of Science and Technology; 2019. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10754/656247.

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

Council of Science Editors:

Shaker GH. Interactive Exploration of Objective Vortex Structures in Unsteady Flow using Observer Fields. [Thesis]. King Abdullah University of Science and Technology; 2019. Available from: http://hdl.handle.net/10754/656247

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


Halmstad University

3. Mühlfellner, Peter. Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems.

Degree: Intelligent systems (IS-lab), 2011, Halmstad University

  We propose a scalable and fexible hardware architecture for the extraction of image features, used in conjunction with an attentional cascade classifier for appearance-based… (more)

Subjects/Keywords: Object Detection; Feature Extraction; FPGA

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

APA (6th Edition):

Mühlfellner, P. (2011). Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems. (Thesis). Halmstad University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377

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):

Mühlfellner, Peter. “Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems.” 2011. Thesis, Halmstad University. Accessed January 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377.

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

MLA Handbook (7th Edition):

Mühlfellner, Peter. “Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems.” 2011. Web. 24 Jan 2020.

Vancouver:

Mühlfellner P. Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems. [Internet] [Thesis]. Halmstad University; 2011. [cited 2020 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377.

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

Council of Science Editors:

Mühlfellner P. Selection, Analysis and Implementationof Image-based Feature Extraction Approaches for a Heterogenous, Modular and FPGA-based Architecture for Camera-based Driver Assistance Systems. [Thesis]. Halmstad University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:hh:diva-16377

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


Rochester Institute of Technology

4. Sridhar, Rahulram. Electromechanical actuator bearing fault detection using empirically extracted features.

Degree: Mechanical Engineering, 2012, Rochester Institute of Technology

 Model parameter estimation when coupled with Principal Component Analysis (PCA) and Bayesian classification techniques form a potentially effective fault detection scheme for Electromechanical Actuators (EMAs).… (more)

Subjects/Keywords: Actuator; Bearing; Detection; Electromechanical; Fault; Feature

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

APA (6th Edition):

Sridhar, R. (2012). Electromechanical actuator bearing fault detection using empirically extracted features. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/5930

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):

Sridhar, Rahulram. “Electromechanical actuator bearing fault detection using empirically extracted features.” 2012. Thesis, Rochester Institute of Technology. Accessed January 24, 2020. https://scholarworks.rit.edu/theses/5930.

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

MLA Handbook (7th Edition):

Sridhar, Rahulram. “Electromechanical actuator bearing fault detection using empirically extracted features.” 2012. Web. 24 Jan 2020.

Vancouver:

Sridhar R. Electromechanical actuator bearing fault detection using empirically extracted features. [Internet] [Thesis]. Rochester Institute of Technology; 2012. [cited 2020 Jan 24]. Available from: https://scholarworks.rit.edu/theses/5930.

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

Council of Science Editors:

Sridhar R. Electromechanical actuator bearing fault detection using empirically extracted features. [Thesis]. Rochester Institute of Technology; 2012. Available from: https://scholarworks.rit.edu/theses/5930

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


University of Saskatchewan

5. Ralhan, Amitoz Singh. A study on machine learning algorithms for fall detection and movement classification.

Degree: 2009, University of Saskatchewan

 Fall among the elderly is an important health issue. Fall detection and movement tracking techniques are therefore instrumental in dealing with this issue. This thesis… (more)

Subjects/Keywords: Machine Learning; Fall Detection; Feature Selection

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APA (6th Edition):

Ralhan, A. S. (2009). A study on machine learning algorithms for fall detection and movement classification. (Thesis). University of Saskatchewan. Retrieved from http://hdl.handle.net/10388/etd-12222009-144628

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):

Ralhan, Amitoz Singh. “A study on machine learning algorithms for fall detection and movement classification.” 2009. Thesis, University of Saskatchewan. Accessed January 24, 2020. http://hdl.handle.net/10388/etd-12222009-144628.

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

MLA Handbook (7th Edition):

Ralhan, Amitoz Singh. “A study on machine learning algorithms for fall detection and movement classification.” 2009. Web. 24 Jan 2020.

Vancouver:

Ralhan AS. A study on machine learning algorithms for fall detection and movement classification. [Internet] [Thesis]. University of Saskatchewan; 2009. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10388/etd-12222009-144628.

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

Council of Science Editors:

Ralhan AS. A study on machine learning algorithms for fall detection and movement classification. [Thesis]. University of Saskatchewan; 2009. Available from: http://hdl.handle.net/10388/etd-12222009-144628

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


Miami University

6. Liu, Xian. Feature Detection from Mobile LiDAR Using Deep Learning.

Degree: Master of Computer Science, Computer Science & Software Engineering, 2019, Miami University

 Automated object detection from remotely sensed data in urban areas is a challenging task due to the complexity of urban scenes. Although recent advances in… (more)

Subjects/Keywords: Computer Science; Deep learning, LiDAR, Feature Detection

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

APA (6th Edition):

Liu, X. (2019). Feature Detection from Mobile LiDAR Using Deep Learning. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1552002747337465

Chicago Manual of Style (16th Edition):

Liu, Xian. “Feature Detection from Mobile LiDAR Using Deep Learning.” 2019. Masters Thesis, Miami University. Accessed January 24, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=miami1552002747337465.

MLA Handbook (7th Edition):

Liu, Xian. “Feature Detection from Mobile LiDAR Using Deep Learning.” 2019. Web. 24 Jan 2020.

Vancouver:

Liu X. Feature Detection from Mobile LiDAR Using Deep Learning. [Internet] [Masters thesis]. Miami University; 2019. [cited 2020 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1552002747337465.

Council of Science Editors:

Liu X. Feature Detection from Mobile LiDAR Using Deep Learning. [Masters Thesis]. Miami University; 2019. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1552002747337465


Delft University of Technology

7. Phull, R. Low Complexity Feature Point Detection and Tracking using CUDA:.

Degree: 2010, Delft University of Technology

 High speed feature point detection and tracking is very demanding for many realtime computer vision applications. In existing work, the commonly used feature point detection(more)

Subjects/Keywords: CUDA; corner detection; feature tracking; GPU

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APA (6th Edition):

Phull, R. (2010). Low Complexity Feature Point Detection and Tracking using CUDA:. (Masters Thesis). Delft University of Technology. Retrieved from http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac

Chicago Manual of Style (16th Edition):

Phull, R. “Low Complexity Feature Point Detection and Tracking using CUDA:.” 2010. Masters Thesis, Delft University of Technology. Accessed January 24, 2020. http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac.

MLA Handbook (7th Edition):

Phull, R. “Low Complexity Feature Point Detection and Tracking using CUDA:.” 2010. Web. 24 Jan 2020.

Vancouver:

Phull R. Low Complexity Feature Point Detection and Tracking using CUDA:. [Internet] [Masters thesis]. Delft University of Technology; 2010. [cited 2020 Jan 24]. Available from: http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac.

Council of Science Editors:

Phull R. Low Complexity Feature Point Detection and Tracking using CUDA:. [Masters Thesis]. Delft University of Technology; 2010. Available from: http://resolver.tudelft.nl/uuid:93f9fb06-31b6-4373-a34f-5f218bce3aac


University of Sydney

8. Volkova, Anastasiia. Robust Modular Feature-Based Terrain-Aided Visual Navigation and Mapping .

Degree: 2018, University of Sydney

 The visual feature-based Terrain-Aided Navigation (TAN) system presented in this thesis addresses the problem of constraining inertial drift introduced into the location estimate of Unmanned… (more)

Subjects/Keywords: visual navigation; feature detection; road; UAV

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

APA (6th Edition):

Volkova, A. (2018). Robust Modular Feature-Based Terrain-Aided Visual Navigation and Mapping . (Thesis). University of Sydney. Retrieved from http://hdl.handle.net/2123/19657

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):

Volkova, Anastasiia. “Robust Modular Feature-Based Terrain-Aided Visual Navigation and Mapping .” 2018. Thesis, University of Sydney. Accessed January 24, 2020. http://hdl.handle.net/2123/19657.

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

MLA Handbook (7th Edition):

Volkova, Anastasiia. “Robust Modular Feature-Based Terrain-Aided Visual Navigation and Mapping .” 2018. Web. 24 Jan 2020.

Vancouver:

Volkova A. Robust Modular Feature-Based Terrain-Aided Visual Navigation and Mapping . [Internet] [Thesis]. University of Sydney; 2018. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/2123/19657.

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

Council of Science Editors:

Volkova A. Robust Modular Feature-Based Terrain-Aided Visual Navigation and Mapping . [Thesis]. University of Sydney; 2018. Available from: http://hdl.handle.net/2123/19657

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


Linköping University

9. Wasell, Richard. Automatisk detektering av diken i LiDAR-data.

Degree: Computer Vision, 2011, Linköping University

Den här rapporten har utrett möjligheten att automatiskt identifiera diken frånflygburet insamlat LiDAR-data. Den metod för identifiering som har valts harförst skapat en höjdbild… (more)

Subjects/Keywords: linear feature extraction; line detection; LiDAR; ditches

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APA (6th Edition):

Wasell, R. (2011). Automatisk detektering av diken i LiDAR-data. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066

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):

Wasell, Richard. “Automatisk detektering av diken i LiDAR-data.” 2011. Thesis, Linköping University. Accessed January 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066.

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

MLA Handbook (7th Edition):

Wasell, Richard. “Automatisk detektering av diken i LiDAR-data.” 2011. Web. 24 Jan 2020.

Vancouver:

Wasell R. Automatisk detektering av diken i LiDAR-data. [Internet] [Thesis]. Linköping University; 2011. [cited 2020 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066.

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

Council of Science Editors:

Wasell R. Automatisk detektering av diken i LiDAR-data. [Thesis]. Linköping University; 2011. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-72066

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

10. Danielsson, Max. Viability of Feature Detection on Sony Xperia Z3 using OpenCL.

Degree: Computer Science and Engineering, 2015, Department of Creative Technologies

  Context. Embedded platforms GPUs are reaching a level of perfor-mance comparable to desktop hardware. Therefore it becomes inter-esting to apply Computer Vision techniques to… (more)

Subjects/Keywords: GPU; Feature Detection; Feature Description; Embedded Device; Computer Sciences; Datavetenskap (datalogi)

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APA (6th Edition):

Danielsson, M. (2015). Viability of Feature Detection on Sony Xperia Z3 using OpenCL. (Thesis). Department of Creative Technologies. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10388

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):

Danielsson, Max. “Viability of Feature Detection on Sony Xperia Z3 using OpenCL.” 2015. Thesis, Department of Creative Technologies. Accessed January 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10388.

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

MLA Handbook (7th Edition):

Danielsson, Max. “Viability of Feature Detection on Sony Xperia Z3 using OpenCL.” 2015. Web. 24 Jan 2020.

Vancouver:

Danielsson M. Viability of Feature Detection on Sony Xperia Z3 using OpenCL. [Internet] [Thesis]. Department of Creative Technologies; 2015. [cited 2020 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10388.

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

Council of Science Editors:

Danielsson M. Viability of Feature Detection on Sony Xperia Z3 using OpenCL. [Thesis]. Department of Creative Technologies; 2015. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:bth-10388

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


University of Technology, Sydney

11. Li, Jinjiu. Contrast mining in large class imbalance data.

Degree: 2013, University of Technology, Sydney

 Class imbalance data, in which the classes are not equally represented and the minority classes include a much smaller number of examples than other classes,… (more)

Subjects/Keywords: Contrast pattern.; Anomaly detection.; Feature mining.; Fraud detection.

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APA (6th Edition):

Li, J. (2013). Contrast mining in large class imbalance data. (Thesis). University of Technology, Sydney. Retrieved from http://hdl.handle.net/10453/23468

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):

Li, Jinjiu. “Contrast mining in large class imbalance data.” 2013. Thesis, University of Technology, Sydney. Accessed January 24, 2020. http://hdl.handle.net/10453/23468.

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

MLA Handbook (7th Edition):

Li, Jinjiu. “Contrast mining in large class imbalance data.” 2013. Web. 24 Jan 2020.

Vancouver:

Li J. Contrast mining in large class imbalance data. [Internet] [Thesis]. University of Technology, Sydney; 2013. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10453/23468.

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

Council of Science Editors:

Li J. Contrast mining in large class imbalance data. [Thesis]. University of Technology, Sydney; 2013. Available from: http://hdl.handle.net/10453/23468

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


University of Ottawa

12. Kapoor, Prince. Shoulder Keypoint-Detection from Object Detection .

Degree: 2018, University of Ottawa

 This thesis presents detailed observation of different Convolutional Neural Network (CNN) architecture which had assisted Computer Vision researchers to achieve state-of-the-art performance on classification, detection,… (more)

Subjects/Keywords: Shoulder Keypoint Detection; Object Detection; CNN Feature Extractors; LSTM-decoder

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

APA (6th Edition):

Kapoor, P. (2018). Shoulder Keypoint-Detection from Object Detection . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/38015

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):

Kapoor, Prince. “Shoulder Keypoint-Detection from Object Detection .” 2018. Thesis, University of Ottawa. Accessed January 24, 2020. http://hdl.handle.net/10393/38015.

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

MLA Handbook (7th Edition):

Kapoor, Prince. “Shoulder Keypoint-Detection from Object Detection .” 2018. Web. 24 Jan 2020.

Vancouver:

Kapoor P. Shoulder Keypoint-Detection from Object Detection . [Internet] [Thesis]. University of Ottawa; 2018. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10393/38015.

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

Council of Science Editors:

Kapoor P. Shoulder Keypoint-Detection from Object Detection . [Thesis]. University of Ottawa; 2018. Available from: http://hdl.handle.net/10393/38015

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


University of North Texas

13. Kong, Longbo. Accurate Joint Detection from Depth Videos towards Pose Analysis.

Degree: 2018, University of North Texas

 Joint detection is vital for characterizing human pose and serves as a foundation for a wide range of computer vision applications such as physical training,… (more)

Subjects/Keywords: Joint Detection; Pose Detection; Feature Points Extraction; Human Body Segmentation

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APA (6th Edition):

Kong, L. (2018). Accurate Joint Detection from Depth Videos towards Pose Analysis. (Thesis). University of North Texas. Retrieved from https://digital.library.unt.edu/ark:/67531/metadc1157524/

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):

Kong, Longbo. “Accurate Joint Detection from Depth Videos towards Pose Analysis.” 2018. Thesis, University of North Texas. Accessed January 24, 2020. https://digital.library.unt.edu/ark:/67531/metadc1157524/.

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

MLA Handbook (7th Edition):

Kong, Longbo. “Accurate Joint Detection from Depth Videos towards Pose Analysis.” 2018. Web. 24 Jan 2020.

Vancouver:

Kong L. Accurate Joint Detection from Depth Videos towards Pose Analysis. [Internet] [Thesis]. University of North Texas; 2018. [cited 2020 Jan 24]. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157524/.

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

Council of Science Editors:

Kong L. Accurate Joint Detection from Depth Videos towards Pose Analysis. [Thesis]. University of North Texas; 2018. Available from: https://digital.library.unt.edu/ark:/67531/metadc1157524/

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


Queens University

14. Rahman, Ashiqur. Pattern Analysis of TXL Programs .

Degree: Computing, 2015, Queens University

 All programming languages need to be updated regularly by adding new features that fill programming needs. Existing approaches to determine new language features are completely… (more)

Subjects/Keywords: programming languages; pattern detection; feature recommendation; clone detection

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APA (6th Edition):

Rahman, A. (2015). Pattern Analysis of TXL Programs . (Thesis). Queens University. Retrieved from http://hdl.handle.net/1974/13840

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):

Rahman, Ashiqur. “Pattern Analysis of TXL Programs .” 2015. Thesis, Queens University. Accessed January 24, 2020. http://hdl.handle.net/1974/13840.

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

MLA Handbook (7th Edition):

Rahman, Ashiqur. “Pattern Analysis of TXL Programs .” 2015. Web. 24 Jan 2020.

Vancouver:

Rahman A. Pattern Analysis of TXL Programs . [Internet] [Thesis]. Queens University; 2015. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1974/13840.

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

Council of Science Editors:

Rahman A. Pattern Analysis of TXL Programs . [Thesis]. Queens University; 2015. Available from: http://hdl.handle.net/1974/13840

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


University of South Florida

15. Lin, Bingxiong. Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery.

Degree: 2015, University of South Florida

 Depth information of tissue surfaces and laparoscope poses are crucial for accurate surgical guidance and navigation in Computer Assisted Surgeries (CAS). Intra-operative Three Dimensional (3D)… (more)

Subjects/Keywords: 3D reconstruction; Laparoscope localization; Feature detection; Vessel feature; Tissue deformation; Computer Engineering; Robotics

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

APA (6th Edition):

Lin, B. (2015). Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery. (Thesis). University of South Florida. Retrieved from https://scholarcommons.usf.edu/etd/5849

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

Chicago Manual of Style (16th Edition):

Lin, Bingxiong. “Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery.” 2015. Thesis, University of South Florida. Accessed January 24, 2020. https://scholarcommons.usf.edu/etd/5849.

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

MLA Handbook (7th Edition):

Lin, Bingxiong. “Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery.” 2015. Web. 24 Jan 2020.

Vancouver:

Lin B. Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery. [Internet] [Thesis]. University of South Florida; 2015. [cited 2020 Jan 24]. Available from: https://scholarcommons.usf.edu/etd/5849.

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

Council of Science Editors:

Lin B. Visual SLAM and Surface Reconstruction for Abdominal Minimally Invasive Surgery. [Thesis]. University of South Florida; 2015. Available from: https://scholarcommons.usf.edu/etd/5849

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


Brigham Young University

16. Fowers, Spencer G. Limited Resource Feature Detection, Description, and Matching.

Degree: PhD, 2012, Brigham Young University

 The aims of this research work are to develop a feature detection, description, and matching system for low-resource applications. This work was motivated by the… (more)

Subjects/Keywords: feature detection; feature description; feature matching; low-resource; limited-resource; FPGA; computer vision; Electrical and Computer Engineering

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

APA (6th Edition):

Fowers, S. G. (2012). Limited Resource Feature Detection, Description, and Matching. (Doctoral Dissertation). Brigham Young University. Retrieved from https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd

Chicago Manual of Style (16th Edition):

Fowers, Spencer G. “Limited Resource Feature Detection, Description, and Matching.” 2012. Doctoral Dissertation, Brigham Young University. Accessed January 24, 2020. https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd.

MLA Handbook (7th Edition):

Fowers, Spencer G. “Limited Resource Feature Detection, Description, and Matching.” 2012. Web. 24 Jan 2020.

Vancouver:

Fowers SG. Limited Resource Feature Detection, Description, and Matching. [Internet] [Doctoral dissertation]. Brigham Young University; 2012. [cited 2020 Jan 24]. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd.

Council of Science Editors:

Fowers SG. Limited Resource Feature Detection, Description, and Matching. [Doctoral Dissertation]. Brigham Young University; 2012. Available from: https://scholarsarchive.byu.edu/cgi/viewcontent.cgi?article=4206&context=etd


University of Dayton

17. Prince, Daniel Paul. Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification.

Degree: MSin Computer Engineering, Electrical and Computer Engineering, 2016, University of Dayton

 Many applications in infrastructure planning and maintenance are currently aided by the collection of aerial image data and manual examination by human analysts. The increasing… (more)

Subjects/Keywords: Computer Engineering; Electrical Engineering; change detection; building detection; feature fusion; difference of Gaussian; NDVI

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

APA (6th Edition):

Prince, D. P. (2016). Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification. (Masters Thesis). University of Dayton. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480418487590701

Chicago Manual of Style (16th Edition):

Prince, Daniel Paul. “Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification.” 2016. Masters Thesis, University of Dayton. Accessed January 24, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480418487590701.

MLA Handbook (7th Edition):

Prince, Daniel Paul. “Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification.” 2016. Web. 24 Jan 2020.

Vancouver:

Prince DP. Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification. [Internet] [Masters thesis]. University of Dayton; 2016. [cited 2020 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480418487590701.

Council of Science Editors:

Prince DP. Automatic Building Change Detection Through Linear Feature Fusion and Difference of Gaussian Classification. [Masters Thesis]. University of Dayton; 2016. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=dayton1480418487590701


The Ohio State University

18. Yoon, Taehun. Object Recognition Based on Multi-agent Spatial Reasoning.

Degree: PhD, Geodetic Science and Surveying, 2008, The Ohio State University

  Object recognition is one of the key processes in Photogrammetry to generate maps from sensory information, because it is to convert 'data' to 'information.'… (more)

Subjects/Keywords: Computer Science; Object recognition; spatial reasoning; agent model; building detection; tree detection; linear feature extraction

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

APA (6th Edition):

Yoon, T. (2008). Object Recognition Based on Multi-agent Spatial Reasoning. (Doctoral Dissertation). The Ohio State University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792

Chicago Manual of Style (16th Edition):

Yoon, Taehun. “Object Recognition Based on Multi-agent Spatial Reasoning.” 2008. Doctoral Dissertation, The Ohio State University. Accessed January 24, 2020. http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792.

MLA Handbook (7th Edition):

Yoon, Taehun. “Object Recognition Based on Multi-agent Spatial Reasoning.” 2008. Web. 24 Jan 2020.

Vancouver:

Yoon T. Object Recognition Based on Multi-agent Spatial Reasoning. [Internet] [Doctoral dissertation]. The Ohio State University; 2008. [cited 2020 Jan 24]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792.

Council of Science Editors:

Yoon T. Object Recognition Based on Multi-agent Spatial Reasoning. [Doctoral Dissertation]. The Ohio State University; 2008. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=osu1206075792


University of New Orleans

19. Zanco, Philip. Analysis of Optimization Methods in Multisteerable Filter Design.

Degree: MS, Electrical Engineering, 2016, University of New Orleans

  The purpose of this thesis is to study and investigate a practical and efficient implementation of corner orientation detection using multisteerable filters. First, practical… (more)

Subjects/Keywords: Steerable filters, feature detection, orientation estimation, corner detection; Other Electrical and Computer Engineering

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APA (6th Edition):

Zanco, P. (2016). Analysis of Optimization Methods in Multisteerable Filter Design. (Thesis). University of New Orleans. Retrieved from https://scholarworks.uno.edu/td/2227

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):

Zanco, Philip. “Analysis of Optimization Methods in Multisteerable Filter Design.” 2016. Thesis, University of New Orleans. Accessed January 24, 2020. https://scholarworks.uno.edu/td/2227.

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

MLA Handbook (7th Edition):

Zanco, Philip. “Analysis of Optimization Methods in Multisteerable Filter Design.” 2016. Web. 24 Jan 2020.

Vancouver:

Zanco P. Analysis of Optimization Methods in Multisteerable Filter Design. [Internet] [Thesis]. University of New Orleans; 2016. [cited 2020 Jan 24]. Available from: https://scholarworks.uno.edu/td/2227.

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

Council of Science Editors:

Zanco P. Analysis of Optimization Methods in Multisteerable Filter Design. [Thesis]. University of New Orleans; 2016. Available from: https://scholarworks.uno.edu/td/2227

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


KTH

20. Ijaz, Hamza. A Hardware Architecture for Scale-space Extrema Detection.

Degree: Information and Communication Technology (ICT), 2012, KTH

  Vision based object recognition and localization have been studied widely in recent years. Often the initial step in such tasks is detection of interest… (more)

Subjects/Keywords: SIFT; computer vision; scale invariance; scale-space extrema detection; FPGA; feature detection; gaussian smoothing; separable

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

APA (6th Edition):

Ijaz, H. (2012). A Hardware Architecture for Scale-space Extrema Detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-116758

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):

Ijaz, Hamza. “A Hardware Architecture for Scale-space Extrema Detection.” 2012. Thesis, KTH. Accessed January 24, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-116758.

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

MLA Handbook (7th Edition):

Ijaz, Hamza. “A Hardware Architecture for Scale-space Extrema Detection.” 2012. Web. 24 Jan 2020.

Vancouver:

Ijaz H. A Hardware Architecture for Scale-space Extrema Detection. [Internet] [Thesis]. KTH; 2012. [cited 2020 Jan 24]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-116758.

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

Council of Science Editors:

Ijaz H. A Hardware Architecture for Scale-space Extrema Detection. [Thesis]. KTH; 2012. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-116758

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


Kennesaw State University

21. Cepeda Mora, Carlos A. Feature Selection and Improving Classification Performance for Malware Detection.

Degree: MSCS, Computer Science, 2017, Kennesaw State University

  The ubiquitous advance of technology has been conducive to the proliferation of cyber threats, resulting in attacks that have grown exponentially. Consequently, researchers have… (more)

Subjects/Keywords: Cyber Security; Machine Learning; Feature selection; Malware detection; Other Computer Engineering

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

APA (6th Edition):

Cepeda Mora, C. A. (2017). Feature Selection and Improving Classification Performance for Malware Detection. (Thesis). Kennesaw State University. Retrieved from https://digitalcommons.kennesaw.edu/cs_etd/10

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):

Cepeda Mora, Carlos A. “Feature Selection and Improving Classification Performance for Malware Detection.” 2017. Thesis, Kennesaw State University. Accessed January 24, 2020. https://digitalcommons.kennesaw.edu/cs_etd/10.

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

MLA Handbook (7th Edition):

Cepeda Mora, Carlos A. “Feature Selection and Improving Classification Performance for Malware Detection.” 2017. Web. 24 Jan 2020.

Vancouver:

Cepeda Mora CA. Feature Selection and Improving Classification Performance for Malware Detection. [Internet] [Thesis]. Kennesaw State University; 2017. [cited 2020 Jan 24]. Available from: https://digitalcommons.kennesaw.edu/cs_etd/10.

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

Council of Science Editors:

Cepeda Mora CA. Feature Selection and Improving Classification Performance for Malware Detection. [Thesis]. Kennesaw State University; 2017. Available from: https://digitalcommons.kennesaw.edu/cs_etd/10

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


Rochester Institute of Technology

22. Zhu, Siyu. Text Detection in Natural Scenes and Technical Diagrams with Convolutional Feature Learning and Cascaded Classification.

Degree: PhD, Chester F. Carlson Center for Imaging Science (COS), 2016, Rochester Institute of Technology

  An enormous amount of digital images are being generated and stored every day. Understanding text in these images is an important challenge with large… (more)

Subjects/Keywords: Computer vision; Feature learning; Image processing; Object detection; Pattern recognition

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

APA (6th Edition):

Zhu, S. (2016). Text Detection in Natural Scenes and Technical Diagrams with Convolutional Feature Learning and Cascaded Classification. (Doctoral Dissertation). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9037

Chicago Manual of Style (16th Edition):

Zhu, Siyu. “Text Detection in Natural Scenes and Technical Diagrams with Convolutional Feature Learning and Cascaded Classification.” 2016. Doctoral Dissertation, Rochester Institute of Technology. Accessed January 24, 2020. https://scholarworks.rit.edu/theses/9037.

MLA Handbook (7th Edition):

Zhu, Siyu. “Text Detection in Natural Scenes and Technical Diagrams with Convolutional Feature Learning and Cascaded Classification.” 2016. Web. 24 Jan 2020.

Vancouver:

Zhu S. Text Detection in Natural Scenes and Technical Diagrams with Convolutional Feature Learning and Cascaded Classification. [Internet] [Doctoral dissertation]. Rochester Institute of Technology; 2016. [cited 2020 Jan 24]. Available from: https://scholarworks.rit.edu/theses/9037.

Council of Science Editors:

Zhu S. Text Detection in Natural Scenes and Technical Diagrams with Convolutional Feature Learning and Cascaded Classification. [Doctoral Dissertation]. Rochester Institute of Technology; 2016. Available from: https://scholarworks.rit.edu/theses/9037


Rochester Institute of Technology

23. Li, Feng. Optimizations and applications in head-mounted video-based eye tracking.

Degree: Chester F. Carlson Center for Imaging Science (COS), 2011, Rochester Institute of Technology

 Video-based eye tracking techniques have become increasingly attractive in many research fields, such as visual perception and human-computer interface design. The technique primarily relies on… (more)

Subjects/Keywords: Eye tracker; Eye tracking; Feature detection; Object tracking; Smooth pursuit

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APA (6th Edition):

Li, F. (2011). Optimizations and applications in head-mounted video-based eye tracking. (Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/2939

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):

Li, Feng. “Optimizations and applications in head-mounted video-based eye tracking.” 2011. Thesis, Rochester Institute of Technology. Accessed January 24, 2020. https://scholarworks.rit.edu/theses/2939.

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

MLA Handbook (7th Edition):

Li, Feng. “Optimizations and applications in head-mounted video-based eye tracking.” 2011. Web. 24 Jan 2020.

Vancouver:

Li F. Optimizations and applications in head-mounted video-based eye tracking. [Internet] [Thesis]. Rochester Institute of Technology; 2011. [cited 2020 Jan 24]. Available from: https://scholarworks.rit.edu/theses/2939.

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

Council of Science Editors:

Li F. Optimizations and applications in head-mounted video-based eye tracking. [Thesis]. Rochester Institute of Technology; 2011. Available from: https://scholarworks.rit.edu/theses/2939

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


NSYSU

24. 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 January 24, 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. 24 Jan 2020.

Vancouver:

Ou Y. Detecting Targeted Attacks by Risk Evaluation. [Internet] [Doctoral dissertation]. NSYSU; 2017. [cited 2020 Jan 24]. 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

25. 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 January 24, 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. 24 Jan 2020.

Vancouver:

Wang T. The study of data preprocessing difference to impact the botnet detection performance. [Internet] [Doctoral dissertation]. NSYSU; 2016. [cited 2020 Jan 24]. 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

26. Wu, Zong-Han. Intelligent Road Surface Detection Systems Based on Terrain Classification and Quality Analysis.

Degree: Master, Mechanical and Electro-Mechanical Engineering, 2015, NSYSU

 Nowadays, the drivers cannot dodge bumpy road because of unfamiliar with traffic and poor visibility and to cause the traffic accident, therefore the situation of… (more)

Subjects/Keywords: terrain classification; BPNN; feature extraction; pothole detection; multi-sensors

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APA (6th Edition):

Wu, Z. (2015). Intelligent Road Surface Detection Systems Based on Terrain Classification and Quality Analysis. (Thesis). NSYSU. Retrieved from http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0226115-110948

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, Zong-Han. “Intelligent Road Surface Detection Systems Based on Terrain Classification and Quality Analysis.” 2015. Thesis, NSYSU. Accessed January 24, 2020. http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0226115-110948.

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

MLA Handbook (7th Edition):

Wu, Zong-Han. “Intelligent Road Surface Detection Systems Based on Terrain Classification and Quality Analysis.” 2015. Web. 24 Jan 2020.

Vancouver:

Wu Z. Intelligent Road Surface Detection Systems Based on Terrain Classification and Quality Analysis. [Internet] [Thesis]. NSYSU; 2015. [cited 2020 Jan 24]. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0226115-110948.

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

Council of Science Editors:

Wu Z. Intelligent Road Surface Detection Systems Based on Terrain Classification and Quality Analysis. [Thesis]. NSYSU; 2015. Available from: http://etd.lib.nsysu.edu.tw/ETD-db/ETD-search/view_etd?URN=etd-0226115-110948

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


Rochester Institute of Technology

27. Graydon, Tucker B. Novel Detection and Analysis using Deep Variational Autoencoders.

Degree: MS, Electrical Engineering, 2018, Rochester Institute of Technology

  This paper presents a Novel Identification System which uses generative modeling techniques and Gaussian Mixture Models (GMMs) to identify the main process variables involved… (more)

Subjects/Keywords: Fault detection; Feature extraction; Machine learning; One class classification; Statistical modeling

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

APA (6th Edition):

Graydon, T. B. (2018). Novel Detection and Analysis using Deep Variational Autoencoders. (Masters Thesis). Rochester Institute of Technology. Retrieved from https://scholarworks.rit.edu/theses/9897

Chicago Manual of Style (16th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Masters Thesis, Rochester Institute of Technology. Accessed January 24, 2020. https://scholarworks.rit.edu/theses/9897.

MLA Handbook (7th Edition):

Graydon, Tucker B. “Novel Detection and Analysis using Deep Variational Autoencoders.” 2018. Web. 24 Jan 2020.

Vancouver:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Internet] [Masters thesis]. Rochester Institute of Technology; 2018. [cited 2020 Jan 24]. Available from: https://scholarworks.rit.edu/theses/9897.

Council of Science Editors:

Graydon TB. Novel Detection and Analysis using Deep Variational Autoencoders. [Masters Thesis]. Rochester Institute of Technology; 2018. Available from: https://scholarworks.rit.edu/theses/9897


University of Edinburgh

28. Rhodes, Stephen. Healthy ageing and binding features in working memory : measurement issues and potential boundary conditions.

Degree: PhD, 2016, University of Edinburgh

 Accurate memory for an object or event requires that multiple diverse features are bound together and retained as an integrated representation. There is overwhelming evidence… (more)

Subjects/Keywords: 153.1; cognitive ageing; feature binding; working memory; change detection; measurement

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

APA (6th Edition):

Rhodes, S. (2016). Healthy ageing and binding features in working memory : measurement issues and potential boundary conditions. (Doctoral Dissertation). University of Edinburgh. Retrieved from http://hdl.handle.net/1842/23447

Chicago Manual of Style (16th Edition):

Rhodes, Stephen. “Healthy ageing and binding features in working memory : measurement issues and potential boundary conditions.” 2016. Doctoral Dissertation, University of Edinburgh. Accessed January 24, 2020. http://hdl.handle.net/1842/23447.

MLA Handbook (7th Edition):

Rhodes, Stephen. “Healthy ageing and binding features in working memory : measurement issues and potential boundary conditions.” 2016. Web. 24 Jan 2020.

Vancouver:

Rhodes S. Healthy ageing and binding features in working memory : measurement issues and potential boundary conditions. [Internet] [Doctoral dissertation]. University of Edinburgh; 2016. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/1842/23447.

Council of Science Editors:

Rhodes S. Healthy ageing and binding features in working memory : measurement issues and potential boundary conditions. [Doctoral Dissertation]. University of Edinburgh; 2016. Available from: http://hdl.handle.net/1842/23447


University of Ottawa

29. Du, Xiaoyun. Enhanced Contour Description for People Detection in Images .

Degree: 2014, University of Ottawa

 People detection has been an attractive technology in computer vision. There are many useful applications in our daily life, for instance, intelligent surveillance and driver… (more)

Subjects/Keywords: People Detection; Variational LBP; Feature selection; Intersection kernel; Bootstrapping

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

APA (6th Edition):

Du, X. (2014). Enhanced Contour Description for People Detection in Images . (Thesis). University of Ottawa. Retrieved from http://hdl.handle.net/10393/31804

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):

Du, Xiaoyun. “Enhanced Contour Description for People Detection in Images .” 2014. Thesis, University of Ottawa. Accessed January 24, 2020. http://hdl.handle.net/10393/31804.

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

MLA Handbook (7th Edition):

Du, Xiaoyun. “Enhanced Contour Description for People Detection in Images .” 2014. Web. 24 Jan 2020.

Vancouver:

Du X. Enhanced Contour Description for People Detection in Images . [Internet] [Thesis]. University of Ottawa; 2014. [cited 2020 Jan 24]. Available from: http://hdl.handle.net/10393/31804.

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

Council of Science Editors:

Du X. Enhanced Contour Description for People Detection in Images . [Thesis]. University of Ottawa; 2014. Available from: http://hdl.handle.net/10393/31804

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


University of Miami

30. Zhu, Qiusha. Integration of Content and Context Modalities for Multimedia Big Data Retrieval.

Degree: PhD, Electrical and Computer Engineering (Engineering), 2014, University of Miami

 With the proliferation of digital photo-capture devices and the development of web technologies, the era of big data has arrived, which poses challenges to process… (more)

Subjects/Keywords: Multimedia Retrieval; Information Integration; Recommender System; Semantic Concept Detection; Feature Selection

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

APA (6th Edition):

Zhu, Q. (2014). Integration of Content and Context Modalities for Multimedia Big Data Retrieval. (Doctoral Dissertation). University of Miami. Retrieved from https://scholarlyrepository.miami.edu/oa_dissertations/1185

Chicago Manual of Style (16th Edition):

Zhu, Qiusha. “Integration of Content and Context Modalities for Multimedia Big Data Retrieval.” 2014. Doctoral Dissertation, University of Miami. Accessed January 24, 2020. https://scholarlyrepository.miami.edu/oa_dissertations/1185.

MLA Handbook (7th Edition):

Zhu, Qiusha. “Integration of Content and Context Modalities for Multimedia Big Data Retrieval.” 2014. Web. 24 Jan 2020.

Vancouver:

Zhu Q. Integration of Content and Context Modalities for Multimedia Big Data Retrieval. [Internet] [Doctoral dissertation]. University of Miami; 2014. [cited 2020 Jan 24]. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1185.

Council of Science Editors:

Zhu Q. Integration of Content and Context Modalities for Multimedia Big Data Retrieval. [Doctoral Dissertation]. University of Miami; 2014. Available from: https://scholarlyrepository.miami.edu/oa_dissertations/1185

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