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 +publisher:"Colorado State University" +contributor:("Draper, Bruce A."). Showing records 1 – 22 of 22 total matches.

Search Limiters

Last 2 Years | English Only

Degrees

Levels

▼ Search Limiters


Colorado State University

1. Dutta, Rahul. Video alignment to a common reference.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Handheld videos often include unintentional motion (jitter) and intentional motion (pan and/or zoom). Human viewers prefer to see jitter removed, creating a smoothly moving camera.… (more)

Subjects/Keywords: foreground segmentation; video stabilization; tracking; computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Dutta, R. (2015). Video alignment to a common reference. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/166958

Chicago Manual of Style (16th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/166958.

MLA Handbook (7th Edition):

Dutta, Rahul. “Video alignment to a common reference.” 2015. Web. 09 Mar 2021.

Vancouver:

Dutta R. Video alignment to a common reference. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/166958.

Council of Science Editors:

Dutta R. Video alignment to a common reference. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/166958


Colorado State University

2. Bastidas, Stephanie P. Attentional biases and time course of emotion processing in depression.

Degree: MS(M.S.), Psychology, 2014, Colorado State University

 Depressive mood is associated with differential patterns in emotion processing, but it is unclear which stages of processing differ in depressed individuals. The current study… (more)

Subjects/Keywords: attention; cognitive bias; depression; emotion; event-related potential; P3

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bastidas, S. P. (2014). Attentional biases and time course of emotion processing in depression. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/83900

Chicago Manual of Style (16th Edition):

Bastidas, Stephanie P. “Attentional biases and time course of emotion processing in depression.” 2014. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/83900.

MLA Handbook (7th Edition):

Bastidas, Stephanie P. “Attentional biases and time course of emotion processing in depression.” 2014. Web. 09 Mar 2021.

Vancouver:

Bastidas SP. Attentional biases and time course of emotion processing in depression. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/83900.

Council of Science Editors:

Bastidas SP. Attentional biases and time course of emotion processing in depression. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/83900


Colorado State University

3. Remington, Jason Michael. Distributed systems in small scale research environments: Hadoop and the EM algorithm.

Degree: MS(M.S.), Computer Science, 2011, Colorado State University

 Distributed systems are widely used in large scale high performance computing environments, and often conjure visions of enormous data centers full of thousands of networked… (more)

Subjects/Keywords: small cluster; distributed systems; EM; expectation maximization; Hadoop

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Remington, J. M. (2011). Distributed systems in small scale research environments: Hadoop and the EM algorithm. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/46744

Chicago Manual of Style (16th Edition):

Remington, Jason Michael. “Distributed systems in small scale research environments: Hadoop and the EM algorithm.” 2011. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/46744.

MLA Handbook (7th Edition):

Remington, Jason Michael. “Distributed systems in small scale research environments: Hadoop and the EM algorithm.” 2011. Web. 09 Mar 2021.

Vancouver:

Remington JM. Distributed systems in small scale research environments: Hadoop and the EM algorithm. [Internet] [Masters thesis]. Colorado State University; 2011. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/46744.

Council of Science Editors:

Remington JM. Distributed systems in small scale research environments: Hadoop and the EM algorithm. [Masters Thesis]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/46744


Colorado State University

4. Sidhu, Rumpal Kaur. Tutorial on minimum output sum of squared error filter.

Degree: MS(M.S.), Computer Science, 2016, Colorado State University

 One of the major challenges in computer vision is visual tracking. Many different techniques have been developed for visual tracking over time. Visual tracking using… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Sidhu, R. K. (2016). Tutorial on minimum output sum of squared error filter. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/173486

Chicago Manual of Style (16th Edition):

Sidhu, Rumpal Kaur. “Tutorial on minimum output sum of squared error filter.” 2016. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/173486.

MLA Handbook (7th Edition):

Sidhu, Rumpal Kaur. “Tutorial on minimum output sum of squared error filter.” 2016. Web. 09 Mar 2021.

Vancouver:

Sidhu RK. Tutorial on minimum output sum of squared error filter. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/173486.

Council of Science Editors:

Sidhu RK. Tutorial on minimum output sum of squared error filter. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173486


Colorado State University

5. Nomi, Jason S. Event-related potentials for the implicit and explicit processing of emotional facial expressions as basic level- and subordinate level-stimulus categories.

Degree: PhD, Psychology, 2014, Colorado State University

 The two dominant models in face perception propose independent mechanisms are responsible for initial face perception (discriminating a face from an object), identity recognition (recognizing… (more)

Subjects/Keywords: category processing; face perception; ERPS; emotional expressions

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nomi, J. S. (2014). Event-related potentials for the implicit and explicit processing of emotional facial expressions as basic level- and subordinate level-stimulus categories. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/82627

Chicago Manual of Style (16th Edition):

Nomi, Jason S. “Event-related potentials for the implicit and explicit processing of emotional facial expressions as basic level- and subordinate level-stimulus categories.” 2014. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/82627.

MLA Handbook (7th Edition):

Nomi, Jason S. “Event-related potentials for the implicit and explicit processing of emotional facial expressions as basic level- and subordinate level-stimulus categories.” 2014. Web. 09 Mar 2021.

Vancouver:

Nomi JS. Event-related potentials for the implicit and explicit processing of emotional facial expressions as basic level- and subordinate level-stimulus categories. [Internet] [Doctoral dissertation]. Colorado State University; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/82627.

Council of Science Editors:

Nomi JS. Event-related potentials for the implicit and explicit processing of emotional facial expressions as basic level- and subordinate level-stimulus categories. [Doctoral Dissertation]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/82627


Colorado State University

6. Narayana Rao Gari, Pradyumna Kumar. Consistent hidden Markov models.

Degree: MS(M.S.), Computer Science, 2014, Colorado State University

 Activity recognition in Computer Vision involves recognizing the appearance of an object of interest along with its action, and its relation to the scene or… (more)

Subjects/Keywords: computer vision; hidden Markov models; interacting hidden Markov models; natural language; ontology; video activity recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Narayana Rao Gari, P. K. (2014). Consistent hidden Markov models. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/88582

Chicago Manual of Style (16th Edition):

Narayana Rao Gari, Pradyumna Kumar. “Consistent hidden Markov models.” 2014. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/88582.

MLA Handbook (7th Edition):

Narayana Rao Gari, Pradyumna Kumar. “Consistent hidden Markov models.” 2014. Web. 09 Mar 2021.

Vancouver:

Narayana Rao Gari PK. Consistent hidden Markov models. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/88582.

Council of Science Editors:

Narayana Rao Gari PK. Consistent hidden Markov models. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/88582


Colorado State University

7. O'Hara, Stephen. Scalable learning of actions from unlabeled videos.

Degree: PhD, Computer Science, 2013, Colorado State University

 Emerging applications in human-computer interfaces, security, and robotics have a need for understanding human behavior from video data. Much of the research in the field… (more)

Subjects/Keywords: action recognition; approximate nearest neighbor; Grassmann manifold; randomized forests; unsupervised learning; video analysis

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

O'Hara, S. (2013). Scalable learning of actions from unlabeled videos. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/78864

Chicago Manual of Style (16th Edition):

O'Hara, Stephen. “Scalable learning of actions from unlabeled videos.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/78864.

MLA Handbook (7th Edition):

O'Hara, Stephen. “Scalable learning of actions from unlabeled videos.” 2013. Web. 09 Mar 2021.

Vancouver:

O'Hara S. Scalable learning of actions from unlabeled videos. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/78864.

Council of Science Editors:

O'Hara S. Scalable learning of actions from unlabeled videos. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/78864


Colorado State University

8. Bhikadiya, Jatin V. Performance evaluation of local features for object discovery.

Degree: MS(M.S.), Computer Science, 2015, Colorado State University

 Object recognition is one of the most challenging tasks in computer vision. A common approach in recognizing an object begins by detecting local features in… (more)

Subjects/Keywords: feature descriptors; object recognition; bag of features; performance evaluation; feature detectors

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bhikadiya, J. V. (2015). Performance evaluation of local features for object discovery. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/167024

Chicago Manual of Style (16th Edition):

Bhikadiya, Jatin V. “Performance evaluation of local features for object discovery.” 2015. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/167024.

MLA Handbook (7th Edition):

Bhikadiya, Jatin V. “Performance evaluation of local features for object discovery.” 2015. Web. 09 Mar 2021.

Vancouver:

Bhikadiya JV. Performance evaluation of local features for object discovery. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/167024.

Council of Science Editors:

Bhikadiya JV. Performance evaluation of local features for object discovery. [Masters Thesis]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167024


Colorado State University

9. Bolme, David Scott. Theory and applications of optimized correlation output filters.

Degree: PhD, Computer Science, 2011, Colorado State University

 Correlation filters are a standard way to solve many problems in signal processing, image processing, and computer vision. This research introduces two new filter training… (more)

Subjects/Keywords: computer vision; object detection; correlation filters

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bolme, D. S. (2011). Theory and applications of optimized correlation output filters. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/47326

Chicago Manual of Style (16th Edition):

Bolme, David Scott. “Theory and applications of optimized correlation output filters.” 2011. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/47326.

MLA Handbook (7th Edition):

Bolme, David Scott. “Theory and applications of optimized correlation output filters.” 2011. Web. 09 Mar 2021.

Vancouver:

Bolme DS. Theory and applications of optimized correlation output filters. [Internet] [Doctoral dissertation]. Colorado State University; 2011. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/47326.

Council of Science Editors:

Bolme DS. Theory and applications of optimized correlation output filters. [Doctoral Dissertation]. Colorado State University; 2011. Available from: http://hdl.handle.net/10217/47326


Colorado State University

10. Teli, Mohammad Nayeem. Face detection using correlation filters.

Degree: PhD, Computer Science, 2013, Colorado State University

 Cameras are ubiquitous and available all around us. As a result, images and videos are posted online in huge numbers. These images often need to… (more)

Subjects/Keywords: MOSSE; face detection; point and shoot; correlation filters; face

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Teli, M. N. (2013). Face detection using correlation filters. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/80983

Chicago Manual of Style (16th Edition):

Teli, Mohammad Nayeem. “Face detection using correlation filters.” 2013. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/80983.

MLA Handbook (7th Edition):

Teli, Mohammad Nayeem. “Face detection using correlation filters.” 2013. Web. 09 Mar 2021.

Vancouver:

Teli MN. Face detection using correlation filters. [Internet] [Doctoral dissertation]. Colorado State University; 2013. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/80983.

Council of Science Editors:

Teli MN. Face detection using correlation filters. [Doctoral Dissertation]. Colorado State University; 2013. Available from: http://hdl.handle.net/10217/80983


Colorado State University

11. Kulkarni, Hrushikesh N. Performance evaluation of feature sets for carried object detection in still images.

Degree: MS(M.S.), Electrical and Computer Engineering, 2014, Colorado State University

 Human activity recognition has gathered a lot of interest. The ability to accurately detect carried objects on human beings will directly help activity recognition. This… (more)

Subjects/Keywords: carried object detection; computer vision; image processing; machine learning; performance evaluation of features; video surveillance

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kulkarni, H. N. (2014). Performance evaluation of feature sets for carried object detection in still images. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/83983

Chicago Manual of Style (16th Edition):

Kulkarni, Hrushikesh N. “Performance evaluation of feature sets for carried object detection in still images.” 2014. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/83983.

MLA Handbook (7th Edition):

Kulkarni, Hrushikesh N. “Performance evaluation of feature sets for carried object detection in still images.” 2014. Web. 09 Mar 2021.

Vancouver:

Kulkarni HN. Performance evaluation of feature sets for carried object detection in still images. [Internet] [Masters thesis]. Colorado State University; 2014. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/83983.

Council of Science Editors:

Kulkarni HN. Performance evaluation of feature sets for carried object detection in still images. [Masters Thesis]. Colorado State University; 2014. Available from: http://hdl.handle.net/10217/83983


Colorado State University

12. Chen, Wenxiang. Discovering and harnessing structures in solving application satisfiability instances.

Degree: PhD, Computer Science, 2018, Colorado State University

 Boolean satisfiability (SAT) is the first problem proven to be NP-Complete. It has become a fundamental problem for computational complexity theory, and many real-world problems… (more)

Subjects/Keywords: MAXSAT; SAT; optimization; local search

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Chen, W. (2018). Discovering and harnessing structures in solving application satisfiability instances. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/189292

Chicago Manual of Style (16th Edition):

Chen, Wenxiang. “Discovering and harnessing structures in solving application satisfiability instances.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/189292.

MLA Handbook (7th Edition):

Chen, Wenxiang. “Discovering and harnessing structures in solving application satisfiability instances.” 2018. Web. 09 Mar 2021.

Vancouver:

Chen W. Discovering and harnessing structures in solving application satisfiability instances. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/189292.

Council of Science Editors:

Chen W. Discovering and harnessing structures in solving application satisfiability instances. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/189292


Colorado State University

13. Narayana, Pradyumna. Improving gesture recognition through spatial focus of attention.

Degree: PhD, Computer Science, 2018, Colorado State University

 Gestures are a common form of human communication and important for human computer interfaces (HCI). Most recent approaches to gesture recognition use deep learning within… (more)

Subjects/Keywords: focus of attention; network fusion; gesture recognition; deep learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Narayana, P. (2018). Improving gesture recognition through spatial focus of attention. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/193149

Chicago Manual of Style (16th Edition):

Narayana, Pradyumna. “Improving gesture recognition through spatial focus of attention.” 2018. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/193149.

MLA Handbook (7th Edition):

Narayana, Pradyumna. “Improving gesture recognition through spatial focus of attention.” 2018. Web. 09 Mar 2021.

Vancouver:

Narayana P. Improving gesture recognition through spatial focus of attention. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/193149.

Council of Science Editors:

Narayana P. Improving gesture recognition through spatial focus of attention. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/193149

14. Alsaaran, Hessah. Unsupervised video segmentation using temporal coherence of motion.

Degree: PhD, Computer Science, 2015, Colorado State University

 Spatio-temporal video segmentation groups pixels with the goal of representing moving objects in scenes. It is a difficult task for many reasons: parts of an… (more)

Subjects/Keywords: temporal coherence of motion; video segmentation

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Alsaaran, H. (2015). Unsupervised video segmentation using temporal coherence of motion. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170396

Chicago Manual of Style (16th Edition):

Alsaaran, Hessah. “Unsupervised video segmentation using temporal coherence of motion.” 2015. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/170396.

MLA Handbook (7th Edition):

Alsaaran, Hessah. “Unsupervised video segmentation using temporal coherence of motion.” 2015. Web. 09 Mar 2021.

Vancouver:

Alsaaran H. Unsupervised video segmentation using temporal coherence of motion. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/170396.

Council of Science Editors:

Alsaaran H. Unsupervised video segmentation using temporal coherence of motion. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/170396

15. Agnihotri, Nikhil. RIDMBC for object recognition using convolutional neural networks.

Degree: MS(M.S.), Computer Science, 2016, Colorado State University

 Two trending techniques that are making advances in computer vision research are Convolutional Neural Networks and Visual Hashing. The goal of this paper is to… (more)

Subjects/Keywords: computer vision; object recognition; neural networks; binary codes

…along with those for two baseline algorithms provided by Colorado State University as part of… 

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Agnihotri, N. (2016). RIDMBC for object recognition using convolutional neural networks. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/173560

Chicago Manual of Style (16th Edition):

Agnihotri, Nikhil. “RIDMBC for object recognition using convolutional neural networks.” 2016. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/173560.

MLA Handbook (7th Edition):

Agnihotri, Nikhil. “RIDMBC for object recognition using convolutional neural networks.” 2016. Web. 09 Mar 2021.

Vancouver:

Agnihotri N. RIDMBC for object recognition using convolutional neural networks. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/173560.

Council of Science Editors:

Agnihotri N. RIDMBC for object recognition using convolutional neural networks. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173560


Colorado State University

16. Parrish, Nicholas James. Image feature associations via local semantic structure.

Degree: MS(M.S.), Computer Science, 2010, Colorado State University

 Research in the field of object recognition suffers from two distinct weaknesses that limits its effectiveness in natural environments. The first is that this research… (more)

Subjects/Keywords: Image processing; Perceptrons; Semantic computing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Parrish, N. J. (2010). Image feature associations via local semantic structure. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/44971

Chicago Manual of Style (16th Edition):

Parrish, Nicholas James. “Image feature associations via local semantic structure.” 2010. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/44971.

MLA Handbook (7th Edition):

Parrish, Nicholas James. “Image feature associations via local semantic structure.” 2010. Web. 09 Mar 2021.

Vancouver:

Parrish NJ. Image feature associations via local semantic structure. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/44971.

Council of Science Editors:

Parrish NJ. Image feature associations via local semantic structure. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/44971


Colorado State University

17. Stevens, John. Analysis of grating cell features for texture discrimination, An.

Degree: MS(M.S.), Computer Science, 2010, Colorado State University

 The design of artificial vision systems has been influenced by knowledge of the early stages of processing in the human vision system. The discovery of… (more)

Subjects/Keywords: Image analysis; Imaging systems; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Stevens, J. (2010). Analysis of grating cell features for texture discrimination, An. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/41470

Chicago Manual of Style (16th Edition):

Stevens, John. “Analysis of grating cell features for texture discrimination, An.” 2010. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/41470.

MLA Handbook (7th Edition):

Stevens, John. “Analysis of grating cell features for texture discrimination, An.” 2010. Web. 09 Mar 2021.

Vancouver:

Stevens J. Analysis of grating cell features for texture discrimination, An. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/41470.

Council of Science Editors:

Stevens J. Analysis of grating cell features for texture discrimination, An. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/41470


Colorado State University

18. Comer, Thomson H. Automatic prediction of interest point stability.

Degree: MS(M.S.), Computer Science, 2009, Colorado State University

 Many computer vision applications depend on interest point detectors as a primary means of dimensionality reduction. While many experiments have been done measuring the repeatability… (more)

Subjects/Keywords: Computer vision; Human face recognition (Computer science); Optical pattern recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Comer, T. H. (2009). Automatic prediction of interest point stability. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/41108

Chicago Manual of Style (16th Edition):

Comer, Thomson H. “Automatic prediction of interest point stability.” 2009. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/41108.

MLA Handbook (7th Edition):

Comer, Thomson H. “Automatic prediction of interest point stability.” 2009. Web. 09 Mar 2021.

Vancouver:

Comer TH. Automatic prediction of interest point stability. [Internet] [Masters thesis]. Colorado State University; 2009. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/41108.

Council of Science Editors:

Comer TH. Automatic prediction of interest point stability. [Masters Thesis]. Colorado State University; 2009. Available from: http://hdl.handle.net/10217/41108


Colorado State University

19. Kazeka, Alexander. Visual location awareness for mobile robots using feature-based vision.

Degree: MS(M.S.), Computer Science, 2010, Colorado State University

 This thesis presents an evaluation of feature-based visual recognition paradigm for the task of mobile robot localization. Although many works describe feature-based visual robot localization,… (more)

Subjects/Keywords: Mobile robots; Robot vision; Computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kazeka, A. (2010). Visual location awareness for mobile robots using feature-based vision. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/38186

Chicago Manual of Style (16th Edition):

Kazeka, Alexander. “Visual location awareness for mobile robots using feature-based vision.” 2010. Masters Thesis, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/38186.

MLA Handbook (7th Edition):

Kazeka, Alexander. “Visual location awareness for mobile robots using feature-based vision.” 2010. Web. 09 Mar 2021.

Vancouver:

Kazeka A. Visual location awareness for mobile robots using feature-based vision. [Internet] [Masters thesis]. Colorado State University; 2010. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/38186.

Council of Science Editors:

Kazeka A. Visual location awareness for mobile robots using feature-based vision. [Masters Thesis]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/38186


Colorado State University

20. Lui, Yui Man. Geometric methods on special manifolds for visual recognition.

Degree: PhD, Computer Science, 2010, Colorado State University

 Many computer vision methods assume that the underlying geometry of images is Euclidean. This assumption is generally not valid. Therefore, this dissertation introduces new nonlinear… (more)

Subjects/Keywords: action classification; visual recognition; special manifolds; geometric methods; face recognition; Human face recognition (Computer science); Grassmann manifolds; Stiefel manifolds

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lui, Y. M. (2010). Geometric methods on special manifolds for visual recognition. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/39042

Chicago Manual of Style (16th Edition):

Lui, Yui Man. “Geometric methods on special manifolds for visual recognition.” 2010. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/39042.

MLA Handbook (7th Edition):

Lui, Yui Man. “Geometric methods on special manifolds for visual recognition.” 2010. Web. 09 Mar 2021.

Vancouver:

Lui YM. Geometric methods on special manifolds for visual recognition. [Internet] [Doctoral dissertation]. Colorado State University; 2010. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/39042.

Council of Science Editors:

Lui YM. Geometric methods on special manifolds for visual recognition. [Doctoral Dissertation]. Colorado State University; 2010. Available from: http://hdl.handle.net/10217/39042


Colorado State University

21. Crawford-Hines, Stewart. Machine learned boundary definitions for an expert's tracing assistant in image processing.

Degree: PhD, Computer Science, 2003, Colorado State University

 Most image processing work addressing boundary definition tasks embeds the assumption that an edge in an image corresponds to the boundary of interest in the… (more)

Subjects/Keywords: visible human imagery; boundary definitions; expert's tracing assistant; ETA; intelligent scissors; IS; active contour models; ACM; boundary-learning system; Image processing; Pattern recognition systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Crawford-Hines, S. (2003). Machine learned boundary definitions for an expert's tracing assistant in image processing. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/28552

Chicago Manual of Style (16th Edition):

Crawford-Hines, Stewart. “Machine learned boundary definitions for an expert's tracing assistant in image processing.” 2003. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/28552.

MLA Handbook (7th Edition):

Crawford-Hines, Stewart. “Machine learned boundary definitions for an expert's tracing assistant in image processing.” 2003. Web. 09 Mar 2021.

Vancouver:

Crawford-Hines S. Machine learned boundary definitions for an expert's tracing assistant in image processing. [Internet] [Doctoral dissertation]. Colorado State University; 2003. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/28552.

Council of Science Editors:

Crawford-Hines S. Machine learned boundary definitions for an expert's tracing assistant in image processing. [Doctoral Dissertation]. Colorado State University; 2003. Available from: http://hdl.handle.net/10217/28552


Colorado State University

22. Bush, Keith A. Echo state model of non-Markovian reinforcement learning, An.

Degree: PhD, Computer Science, 2008, Colorado State University

 There exists a growing need for intelligent, autonomous control strategies that operate in real-world domains. Theoretically the state-action space must exhibit the Markov property in… (more)

Subjects/Keywords: reinforcement learning (machine learning); mountain car problem; reinforcement learning; Markovian; echo state network; ESN; fixed point analysis; Hybrid systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bush, K. A. (2008). Echo state model of non-Markovian reinforcement learning, An. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/28682

Chicago Manual of Style (16th Edition):

Bush, Keith A. “Echo state model of non-Markovian reinforcement learning, An.” 2008. Doctoral Dissertation, Colorado State University. Accessed March 09, 2021. http://hdl.handle.net/10217/28682.

MLA Handbook (7th Edition):

Bush, Keith A. “Echo state model of non-Markovian reinforcement learning, An.” 2008. Web. 09 Mar 2021.

Vancouver:

Bush KA. Echo state model of non-Markovian reinforcement learning, An. [Internet] [Doctoral dissertation]. Colorado State University; 2008. [cited 2021 Mar 09]. Available from: http://hdl.handle.net/10217/28682.

Council of Science Editors:

Bush KA. Echo state model of non-Markovian reinforcement learning, An. [Doctoral Dissertation]. Colorado State University; 2008. Available from: http://hdl.handle.net/10217/28682

.