Advanced search options

Advanced Search Options 🞨

Browse by author name (“Author name starts with…”).

Find ETDs with:

in
/  
in
/  
in
/  
in

Written in Published in Earliest date Latest date

Sorted by

Results per page:

Sorted by: relevance · author · university · dateNew search

You searched for subject:(R vision). Showing records 1 – 17 of 17 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Brno University of Technology

1. Vostřel, Tomáš. Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition.

Degree: 2020, Brno University of Technology

 The diploma thesis deals with the usage of integrated machine vision by B&R, Smart Sensor, for metal rectangular-shaped workpiece recognition and position determinition. The description… (more)

Subjects/Keywords: strojové vidění; rozpoznávání obrobků; B&R; Smart Sensor; Blob analýza; B&R Automation; Automation Studio; machine vision; workpiece recognition; B&R; Smart Sensor; Blob analysis; B&R Automation; Automation Studio

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Vostřel, T. (2020). Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/189288

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):

Vostřel, Tomáš. “Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition.” 2020. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/189288.

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

MLA Handbook (7th Edition):

Vostřel, Tomáš. “Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition.” 2020. Web. 28 Jan 2021.

Vancouver:

Vostřel T. Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition. [Internet] [Thesis]. Brno University of Technology; 2020. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/189288.

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

Council of Science Editors:

Vostřel T. Řídicí integrovaný systém pro rozpoznávání obrobků: Control integrated system for workpiece recognition. [Thesis]. Brno University of Technology; 2020. Available from: http://hdl.handle.net/11012/189288

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. Li, Xing. Computer vision based corn kernel quality evaluation: Traditional versus machine learning.

Degree: MS, Electrical Engineering, 2018, University of Illinois – Urbana-Champaign

 Corn kernel quality evaluation is a trivial task for experienced farmers and agriculture researchers, but it becomes tricky if we try to develop a computer… (more)

Subjects/Keywords: Computer Vision; Corn Kernel Quality; Machine Learning; Fast R-CNN; RPN; Faster R-CNN; FPN; Retinanet.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Li, X. (2018). Computer vision based corn kernel quality evaluation: Traditional versus machine learning. (Thesis). University of Illinois – Urbana-Champaign. Retrieved from http://hdl.handle.net/2142/101131

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, Xing. “Computer vision based corn kernel quality evaluation: Traditional versus machine learning.” 2018. Thesis, University of Illinois – Urbana-Champaign. Accessed January 28, 2021. http://hdl.handle.net/2142/101131.

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

MLA Handbook (7th Edition):

Li, Xing. “Computer vision based corn kernel quality evaluation: Traditional versus machine learning.” 2018. Web. 28 Jan 2021.

Vancouver:

Li X. Computer vision based corn kernel quality evaluation: Traditional versus machine learning. [Internet] [Thesis]. University of Illinois – Urbana-Champaign; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/2142/101131.

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

Council of Science Editors:

Li X. Computer vision based corn kernel quality evaluation: Traditional versus machine learning. [Thesis]. University of Illinois – Urbana-Champaign; 2018. Available from: http://hdl.handle.net/2142/101131

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


North Carolina State University

3. Rajyaguru, Sameer Rajendra. Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments.

Degree: MS, Computer Science, 2003, North Carolina State University

 Cognitive models have typically dealt with artificial environments or real environments that are simple. This is because the cognitive models either use indirect approaches to… (more)

Subjects/Keywords: computer vision; image processing; cognitive models; ACT-R; vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rajyaguru, S. R. (2003). Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments. (Thesis). North Carolina State University. Retrieved from http://www.lib.ncsu.edu/resolver/1840.16/1247

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):

Rajyaguru, Sameer Rajendra. “Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments.” 2003. Thesis, North Carolina State University. Accessed January 28, 2021. http://www.lib.ncsu.edu/resolver/1840.16/1247.

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

MLA Handbook (7th Edition):

Rajyaguru, Sameer Rajendra. “Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments.” 2003. Web. 28 Jan 2021.

Vancouver:

Rajyaguru SR. Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments. [Internet] [Thesis]. North Carolina State University; 2003. [cited 2021 Jan 28]. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1247.

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

Council of Science Editors:

Rajyaguru SR. Image Processing Substrate to Assist Cognitive Models Interact with Dynamic Environments. [Thesis]. North Carolina State University; 2003. Available from: http://www.lib.ncsu.edu/resolver/1840.16/1247

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

4. Brageot, Emily. Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices.

Degree: Docteur es, Instrumentation, 2012, Aix Marseille Université

Les micro-bolomètres non-refroidis bénéficient de développements technologiques récents qui se traduisent par des matrices de plus en plus grandes (1024*768 pixels), pour des pixels de… (more)

Subjects/Keywords: Infrarouge; Spectro-imageur; Microbolomètre; Marco-Polo R; Système solaire; Esa; Cosmic Vision; Mid-Infrared; Spectro-Imager; Microbolometer; Marco-Polo R; Solar System; Esa; Cosmic Vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Brageot, E. (2012). Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices. (Doctoral Dissertation). Aix Marseille Université. Retrieved from http://www.theses.fr/2012AIXM4726

Chicago Manual of Style (16th Edition):

Brageot, Emily. “Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices.” 2012. Doctoral Dissertation, Aix Marseille Université. Accessed January 28, 2021. http://www.theses.fr/2012AIXM4726.

MLA Handbook (7th Edition):

Brageot, Emily. “Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices.” 2012. Web. 28 Jan 2021.

Vancouver:

Brageot E. Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices. [Internet] [Doctoral dissertation]. Aix Marseille Université 2012. [cited 2021 Jan 28]. Available from: http://www.theses.fr/2012AIXM4726.

Council of Science Editors:

Brageot E. Détecteurs micro-bolométriques non refroidis : Application pour une mission spatiale vers les petits corps du système solaire : Contribution of childminders to the psycho-emotional development of young child : Description and clinical analysis of practices. [Doctoral Dissertation]. Aix Marseille Université 2012. Available from: http://www.theses.fr/2012AIXM4726


University of Toronto

5. Bose, Avishek. Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.

Degree: 2018, University of Toronto

Adversarial attacks involve adding, small, often imperceptible, perturbations to inputs with the goal of getting a machine learning model to misclassifying them. While many different… (more)

Subjects/Keywords: Adversarial Attacks; Computer Vision; Face Detection; Faster R-CNN; Machine Learning; Neural Networks; 0800

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bose, A. (2018). Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. (Masters Thesis). University of Toronto. Retrieved from http://hdl.handle.net/1807/91439

Chicago Manual of Style (16th Edition):

Bose, Avishek. “Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.” 2018. Masters Thesis, University of Toronto. Accessed January 28, 2021. http://hdl.handle.net/1807/91439.

MLA Handbook (7th Edition):

Bose, Avishek. “Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization.” 2018. Web. 28 Jan 2021.

Vancouver:

Bose A. Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. [Internet] [Masters thesis]. University of Toronto; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/1807/91439.

Council of Science Editors:

Bose A. Adversarial Attacks on Face Detectors using Neural Net based Constrained Optimization. [Masters Thesis]. University of Toronto; 2018. Available from: http://hdl.handle.net/1807/91439


KTH

6. Grip, Linnea. Vision based indoor object detection for a drone.

Degree: Computer Science and Communication (CSC), 2017, KTH

Drones are a very active area of research and object detection is a crucial part in achieving full autonomy of any robot. We investigated… (more)

Subjects/Keywords: drone; uav; computer vision; object detection; robot; r-fcn; indoor; Computer Sciences; Datavetenskap (datalogi)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Grip, L. (2017). Vision based indoor object detection for a drone. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890

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):

Grip, Linnea. “Vision based indoor object detection for a drone.” 2017. Thesis, KTH. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890.

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

MLA Handbook (7th Edition):

Grip, Linnea. “Vision based indoor object detection for a drone.” 2017. Web. 28 Jan 2021.

Vancouver:

Grip L. Vision based indoor object detection for a drone. [Internet] [Thesis]. KTH; 2017. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890.

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

Council of Science Editors:

Grip L. Vision based indoor object detection for a drone. [Thesis]. KTH; 2017. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-208890

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


Uppsala University

7. Eklund, Anton. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing.

Degree: Information Technology, 2020, Uppsala University

  Parsing floorplans have been a problem in automatic document analysis for long and have up until recent years been approached with algorithmic methods. With… (more)

Subjects/Keywords: mask r-cnn; cascade r-cnn; cascade mask r-cnn; floorplan; floorplans; computer vision; CNN; convolutional neural networks; Engineering and Technology; Teknik och teknologier

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Eklund, A. (2020). Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing. (Thesis). Uppsala University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371

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):

Eklund, Anton. “Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing.” 2020. Thesis, Uppsala University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371.

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

MLA Handbook (7th Edition):

Eklund, Anton. “Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing.” 2020. Web. 28 Jan 2021.

Vancouver:

Eklund A. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing. [Internet] [Thesis]. Uppsala University; 2020. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371.

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

Council of Science Editors:

Eklund A. Cascade Mask R-CNN and Keypoint Detection used in Floorplan Parsing. [Thesis]. Uppsala University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-415371

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


Linköping University

8. Grönlund, Jakob. Defect Detection and OCR on Steel.

Degree: Computer Vision, 2019, Linköping University

  In large scale productions of metal sheets, it is important to maintain an effective way to continuously inspect the products passing through the production… (more)

Subjects/Keywords: Defect detection; OCR; Convolutional Autoencoder; Faster R-CNN; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Grönlund, J. (2019). Defect Detection and OCR on Steel. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508

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):

Grönlund, Jakob. “Defect Detection and OCR on Steel.” 2019. Thesis, Linköping University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508.

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

MLA Handbook (7th Edition):

Grönlund, Jakob. “Defect Detection and OCR on Steel.” 2019. Web. 28 Jan 2021.

Vancouver:

Grönlund J. Defect Detection and OCR on Steel. [Internet] [Thesis]. Linköping University; 2019. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508.

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

Council of Science Editors:

Grönlund J. Defect Detection and OCR on Steel. [Thesis]. Linköping University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-157508

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


Linköping University

9. Torén, Rickard. Comparing CNN methods for detection and tracking of ships in satellite images.

Degree: Computer and Information Science, 2020, Linköping University

  Knowing where ships are located is a key factor to support safe maritime transports, harbor management as well as preventing accidents and illegal activities… (more)

Subjects/Keywords: Faster R-CNN; SSD; FPN; object detection; tracking; AIS; ship; satellite image; Computer Vision and Robotics (Autonomous Systems); Datorseende och robotik (autonoma system)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Torén, R. (2020). Comparing CNN methods for detection and tracking of ships in satellite images. (Thesis). Linköping University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163

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):

Torén, Rickard. “Comparing CNN methods for detection and tracking of ships in satellite images.” 2020. Thesis, Linköping University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163.

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

MLA Handbook (7th Edition):

Torén, Rickard. “Comparing CNN methods for detection and tracking of ships in satellite images.” 2020. Web. 28 Jan 2021.

Vancouver:

Torén R. Comparing CNN methods for detection and tracking of ships in satellite images. [Internet] [Thesis]. Linköping University; 2020. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163.

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

Council of Science Editors:

Torén R. Comparing CNN methods for detection and tracking of ships in satellite images. [Thesis]. Linköping University; 2020. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-167163

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


University of Georgia

10. Luo, Xingzhi. Stochastic models for object tracking, background modeling and their applications.

Degree: 2014, University of Georgia

 Object tracking in streaming videos is an important research topic in computer vision. In this dissertation three topics in object tracking are covered: the background… (more)

Subjects/Keywords: Object tracking in streaming videos is an important research topic in computer vision. In\r this dissertation three topics in object tracking are covered: the background modeling based\r foreground object detection; the multiple object tracking models and

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Luo, X. (2014). Stochastic models for object tracking, background modeling and their applications. (Thesis). University of Georgia. Retrieved from http://hdl.handle.net/10724/23451

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, Xingzhi. “Stochastic models for object tracking, background modeling and their applications.” 2014. Thesis, University of Georgia. Accessed January 28, 2021. http://hdl.handle.net/10724/23451.

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

MLA Handbook (7th Edition):

Luo, Xingzhi. “Stochastic models for object tracking, background modeling and their applications.” 2014. Web. 28 Jan 2021.

Vancouver:

Luo X. Stochastic models for object tracking, background modeling and their applications. [Internet] [Thesis]. University of Georgia; 2014. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/10724/23451.

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

Council of Science Editors:

Luo X. Stochastic models for object tracking, background modeling and their applications. [Thesis]. University of Georgia; 2014. Available from: http://hdl.handle.net/10724/23451

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


Brno University of Technology

11. Voronin, Artyom. Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python.

Degree: 2019, Brno University of Technology

 This thesis introduces the issue of data classification in the image using tools for machine learning in Python. The aim is to verify the possibilities… (more)

Subjects/Keywords: Python; Strojově učení; Hloubkově učení; Konvoluční neuronové sítě; Faster-R-CNN; SSD-Mobilenet; YOLO; Tensorflow; Počítačová vize; OpenCV; Mechatronika; Python; Machine Learning; Deep Learning; Convolution Neural Networks; Faster-R-CNN; SSD-Mobilenet; YOLO; Tensorflow; Computer vision; OpenCV; Mechatronics

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Voronin, A. (2019). Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/179338

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):

Voronin, Artyom. “Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python.” 2019. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/179338.

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

MLA Handbook (7th Edition):

Voronin, Artyom. “Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python.” 2019. Web. 28 Jan 2021.

Vancouver:

Voronin A. Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python. [Internet] [Thesis]. Brno University of Technology; 2019. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/179338.

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

Council of Science Editors:

Voronin A. Klasifikace dat v obraze pomocí nástrojů pro strojové učení v jazyce Python. [Thesis]. Brno University of Technology; 2019. Available from: http://hdl.handle.net/11012/179338

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


Brno University of Technology

12. Mareček, Petr. Robotický stolní fotbal: Robotic Table Football.

Degree: 2018, Brno University of Technology

 The aim of this diploma thesis is the design of robotic table football with the realization of the construction and control a single axis of… (more)

Subjects/Keywords: Stolní fotbal; B&R; LinMot®; lineární motor; ACOPOSmicro; Automation Studio; průmyslové vidění; COGNEX; bezpečnostní optická mříž; DATALOGIC.; Table Football; B&R; LinMot®; linear motor; ACOPOSmicro; Automation Studio; industrial vision; CONGEX; safety light curtain; DATALOGIC.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mareček, P. (2018). Robotický stolní fotbal: Robotic Table Football. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/60854

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):

Mareček, Petr. “Robotický stolní fotbal: Robotic Table Football.” 2018. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/60854.

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

MLA Handbook (7th Edition):

Mareček, Petr. “Robotický stolní fotbal: Robotic Table Football.” 2018. Web. 28 Jan 2021.

Vancouver:

Mareček P. Robotický stolní fotbal: Robotic Table Football. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/60854.

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

Council of Science Editors:

Mareček P. Robotický stolní fotbal: Robotic Table Football. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/60854

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

13. Chaabouni, Souad. Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases.

Degree: Docteur es, Informatique, 2017, Bordeaux; Université de Sfax (Tunisie)

Cette thèse est motivée par le diagnostic et l’évaluation des maladies neuro-dégénératives et dans le but de diagnostique sur la base de l’attention visuelle.Néanmoins, le… (more)

Subjects/Keywords: R´eseaux de convolution profond; Apprentissage par transfert; Vi- sion par ordinateur; Modèle de saillance; Attention visuelle; Maladies neuro- dégénératives; Mouvement r´esiduel,; Mouvement r´esiduel, vid´eos naturels; Deep convolutional networks; Transfer learning; Computer vision; Saliency models; Visual attention; Neuro-degenerative diseases; Residual mo- tion; Natural videos

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chaabouni, S. (2017). Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases. (Doctoral Dissertation). Bordeaux; Université de Sfax (Tunisie). Retrieved from http://www.theses.fr/2017BORD0768

Chicago Manual of Style (16th Edition):

Chaabouni, Souad. “Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases.” 2017. Doctoral Dissertation, Bordeaux; Université de Sfax (Tunisie). Accessed January 28, 2021. http://www.theses.fr/2017BORD0768.

MLA Handbook (7th Edition):

Chaabouni, Souad. “Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases.” 2017. Web. 28 Jan 2021.

Vancouver:

Chaabouni S. Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases. [Internet] [Doctoral dissertation]. Bordeaux; Université de Sfax (Tunisie); 2017. [cited 2021 Jan 28]. Available from: http://www.theses.fr/2017BORD0768.

Council of Science Editors:

Chaabouni S. Etude et prédiction d'attention visuelle avec les outils d'apprentissage profond en vue d'évaluation des patients atteints des maladies neuro-dégénératives : Study and prediction of visual attention with deep learning net- works in view of assessment of patients with neurodegenerative diseases. [Doctoral Dissertation]. Bordeaux; Université de Sfax (Tunisie); 2017. Available from: http://www.theses.fr/2017BORD0768


Brno University of Technology

14. Jasovský, Filip. Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data.

Degree: 2018, Brno University of Technology

 This thesis deals with feature extraction and classification of image data in programming environment of Rapidminer. The theoretical part of this thesis describes the function… (more)

Subjects/Keywords: [1] BURGET; R.; DONGMEI; F. Identification of Sky Area in ImagesAccording to Low Level Features. In 6th International Conference on Teleinformatics - ICT 2011. 2011. ISBN: 978-80-214-4231- 3. [2] ZUKAL; M.; ČÍKA; P.; BURGET; R. Evaluation of Interest Point Detectors for Scenes with Changing Lightening Conditions. In 34th International Conference on Telecommunications and Signal Processing (TSP 2011). 2011. s. 579-583. ISBN: 978-1-4577-1409- 2. Počítačové vidění; zpracování obrazu; vyhodnocování dat; základní obrazové operace; odstranění šumu; předzpracování obrazu; segmentace; popis obrazu; klasifikace obrazových dat; extrakce příznaků; Computer vision; image processing; evalauting of data; basic image operations; denoising; image preprocessing; segmentation; description of the image; classification of the image; feature extraction

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Jasovský, F. (2018). Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data. (Thesis). Brno University of Technology. Retrieved from http://hdl.handle.net/11012/9693

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):

Jasovský, Filip. “Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data.” 2018. Thesis, Brno University of Technology. Accessed January 28, 2021. http://hdl.handle.net/11012/9693.

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

MLA Handbook (7th Edition):

Jasovský, Filip. “Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data.” 2018. Web. 28 Jan 2021.

Vancouver:

Jasovský F. Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data. [Internet] [Thesis]. Brno University of Technology; 2018. [cited 2021 Jan 28]. Available from: http://hdl.handle.net/11012/9693.

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

Council of Science Editors:

Jasovský F. Extrakce příznaků a klasifikace obrazových dat: Feature extraction and classification of image data. [Thesis]. Brno University of Technology; 2018. Available from: http://hdl.handle.net/11012/9693

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

15. Rexhaj, Kastriot. Machine visual feedback through CNN detectors : Mobile object detection for industrial application.

Degree: Electronics Design, 2019, Mid Sweden University

This paper concerns itself with object detection as a possible solution to Valmet’s quest for a visual-feedback system that can help operators and other… (more)

Subjects/Keywords: Object detection; CNN; SSD; Faster R-CNN; YOLO; TensorFlow; ARM; Android; Deep learning; Machine vision.; Other Electrical Engineering, Electronic Engineering, Information Engineering; Annan elektroteknik och elektronik

…problems where deep learning shines. Any problem where human vision and its inherent object… …taking place. The university has touched upon both machine vision and machine learning in… …next. 3.1 R-CNN The first attempt at incorporating CNN for an object detection problem was… …proposed by Girschick et al. in 2014[20]. The method proposed was called R-CNN and can… …feature vectors. The third modus operandi of R-CNN is a layer of Support Vector Machines (… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Rexhaj, K. (2019). Machine visual feedback through CNN detectors : Mobile object detection for industrial application. (Thesis). Mid Sweden University. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467

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):

Rexhaj, Kastriot. “Machine visual feedback through CNN detectors : Mobile object detection for industrial application.” 2019. Thesis, Mid Sweden University. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467.

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

MLA Handbook (7th Edition):

Rexhaj, Kastriot. “Machine visual feedback through CNN detectors : Mobile object detection for industrial application.” 2019. Web. 28 Jan 2021.

Vancouver:

Rexhaj K. Machine visual feedback through CNN detectors : Mobile object detection for industrial application. [Internet] [Thesis]. Mid Sweden University; 2019. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467.

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

Council of Science Editors:

Rexhaj K. Machine visual feedback through CNN detectors : Mobile object detection for industrial application. [Thesis]. Mid Sweden University; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:miun:diva-36467

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

16. Grossman, Mikael. Proposal networks in object detection.

Degree: Mathematical Statistics, 2019, KTH

Locating and extracting useful data from images is a task that has been revolutionized in the last decade as computing power has risen to… (more)

Subjects/Keywords: Deep learning; Machine learning; Computer vision; Applied mathematics; Statistics; Artificial Neural Networks; Object detection; Faster R-CNN; RPN; Proposal Network; Maskininlärning; Neurala nätverk; Objektdetektering; Tillämpad matematik; Matematisk statistik; RPN; Förslags nätverk; Probability Theory and Statistics; Sannolikhetsteori och statistik

…Neural Network R-CNN Regions with Convolutional Neural Network features FC Fully Connected… …2.3.3 Preventing overfitting . . . . . . . . 2.4 Computer vision… …Previous object detection methods . . . . 3.3.1 Regions with Convolutional Neural 3.3.2 Fast R… …CNN . . . . . . . . . . . . 3.4 Modern two-stage detectors . . . . . . . . 3.4.1 Faster R… …Features (R-CNN)… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Grossman, M. (2019). Proposal networks in object detection. (Thesis). KTH. Retrieved from http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

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):

Grossman, Mikael. “Proposal networks in object detection.” 2019. Thesis, KTH. Accessed January 28, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918.

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

MLA Handbook (7th Edition):

Grossman, Mikael. “Proposal networks in object detection.” 2019. Web. 28 Jan 2021.

Vancouver:

Grossman M. Proposal networks in object detection. [Internet] [Thesis]. KTH; 2019. [cited 2021 Jan 28]. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918.

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

Council of Science Editors:

Grossman M. Proposal networks in object detection. [Thesis]. KTH; 2019. Available from: http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-241918

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

17. Shakeel, Amlaan. Service robot for the visually impaired: Providing navigational assistance using Deep Learning.

Degree: MS, Computational Science and Engineering, 2017, Miami University

 Assistive technology helps improve the day to day activities for people with disabilities. One of the methods utilized by assistive technologists employs the use of… (more)

Subjects/Keywords: Electrical Engineering; Robotics; Computer Science; Assistive technology; Deep learning; Robotics; Indoor navigation; Computer vision; Robot Operating System; ROS; Caffe; Faster R-CNN; Convolutional Neural Networks; CNN; Microsoft Kinect; Service robots; visually impaired; mobility; depth perception

…communicate with the TurtleBot and integrate Faster R-CNN into computer vision pipeline. 17 4.3… …Computer vision pipeline using Faster R-CNN Due to the low resolution of the RGB camera on the… …technologies required to achieve autonomy, such as computer vision and depth perception, are… …Global Positioning System (GPS), but often relies on computer vision and depth… …capable of autonomous indoor navigation in an unfamiliar environment using computer vision to… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Shakeel, A. (2017). Service robot for the visually impaired: Providing navigational assistance using Deep Learning. (Masters Thesis). Miami University. Retrieved from http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366

Chicago Manual of Style (16th Edition):

Shakeel, Amlaan. “Service robot for the visually impaired: Providing navigational assistance using Deep Learning.” 2017. Masters Thesis, Miami University. Accessed January 28, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366.

MLA Handbook (7th Edition):

Shakeel, Amlaan. “Service robot for the visually impaired: Providing navigational assistance using Deep Learning.” 2017. Web. 28 Jan 2021.

Vancouver:

Shakeel A. Service robot for the visually impaired: Providing navigational assistance using Deep Learning. [Internet] [Masters thesis]. Miami University; 2017. [cited 2021 Jan 28]. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366.

Council of Science Editors:

Shakeel A. Service robot for the visually impaired: Providing navigational assistance using Deep Learning. [Masters Thesis]. Miami University; 2017. Available from: http://rave.ohiolink.edu/etdc/view?acc_num=miami1500647716257366

.