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"). Showing records 1 – 30 of 55 total matches.

[1] [2]

Search Limiters

Last 2 Years | English Only

Degrees

Levels

▼ Search Limiters


Colorado State University

1. Hirsch, Rachel Valia. Automatic Question Detection From Prosodic Speech Analysis.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Human-agent spoken communication has become ubiquitous over the last decade, with assistants such as Siri and Alexa being used more every day. An AI agent… (more)

Subjects/Keywords: Lexicon; Natural Language Processing; Sentiment Detection; Machine Learning; Human-Computer Interaction; Prosody

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Hirsch, R. V. (2019). Automatic Question Detection From Prosodic Speech Analysis. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/197389

Chicago Manual of Style (16th Edition):

Hirsch, Rachel Valia. “Automatic Question Detection From Prosodic Speech Analysis.” 2019. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/197389.

MLA Handbook (7th Edition):

Hirsch, Rachel Valia. “Automatic Question Detection From Prosodic Speech Analysis.” 2019. Web. 19 Sep 2019.

Vancouver:

Hirsch RV. Automatic Question Detection From Prosodic Speech Analysis. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/197389.

Council of Science Editors:

Hirsch RV. Automatic Question Detection From Prosodic Speech Analysis. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197389


Colorado State University

2. 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 September 19, 2019. http://hdl.handle.net/10217/166958.

MLA Handbook (7th Edition):

Dutta, Rahul. “Video Alignment to a Common Reference.” 2015. Web. 19 Sep 2019.

Vancouver:

Dutta R. Video Alignment to a Common Reference. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2019 Sep 19]. 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

3. Patil, Dhruva Kishor. LOOKING UNDER THE HOOD: VISUALIZING WHAT LSTMS LEARN.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Recurrent Neural Networks (RNNs) such as Long Short Term Memory (LSTM) and Gated Recurrent Units (GRUs) have been successful in many applications involving sequential data.… (more)

Subjects/Keywords: Activation Maximization; Recurrent Neural Networks; Action Recognition; Visualization; LSTM

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Patil, D. K. (2019). LOOKING UNDER THE HOOD: VISUALIZING WHAT LSTMS LEARN. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/197280

Chicago Manual of Style (16th Edition):

Patil, Dhruva Kishor. “LOOKING UNDER THE HOOD: VISUALIZING WHAT LSTMS LEARN.” 2019. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/197280.

MLA Handbook (7th Edition):

Patil, Dhruva Kishor. “LOOKING UNDER THE HOOD: VISUALIZING WHAT LSTMS LEARN.” 2019. Web. 19 Sep 2019.

Vancouver:

Patil DK. LOOKING UNDER THE HOOD: VISUALIZING WHAT LSTMS LEARN. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/197280.

Council of Science Editors:

Patil DK. LOOKING UNDER THE HOOD: VISUALIZING WHAT LSTMS LEARN. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197280


Colorado State University

4. Yu, Zhixian. ONE-SHOT LEARNING WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORK.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Recent progress in convolutional neural networks and deep learning has revolutionized the image classification field, and computers can now classify images with a very high… (more)

Subjects/Keywords: convolutional neural network; image recognition; proximity forest; generalized curvature analysis; approximate nearest neighbor; one-shot learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yu, Z. (2019). ONE-SHOT LEARNING WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORK. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/197309

Chicago Manual of Style (16th Edition):

Yu, Zhixian. “ONE-SHOT LEARNING WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORK.” 2019. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/197309.

MLA Handbook (7th Edition):

Yu, Zhixian. “ONE-SHOT LEARNING WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORK.” 2019. Web. 19 Sep 2019.

Vancouver:

Yu Z. ONE-SHOT LEARNING WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORK. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/197309.

Council of Science Editors:

Yu Z. ONE-SHOT LEARNING WITH PRETRAINED CONVOLUTIONAL NEURAL NETWORK. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197309


Colorado State University

5. Arefin Shimon, Shaikh Shawon. Exploring user-defined gestures for alternate interaction space for smartphones and smartwatches.

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

 In smartphones and smartwatches, the input space is limited due to their small form factor. Although many studies have highlighted the possibility of expanding the… (more)

Subjects/Keywords: Human Computer Interaction; MobileHCI; Smartwatches; Mobile Devices; Elicitation Study; Smartphones

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Arefin Shimon, S. S. (2016). Exploring user-defined gestures for alternate interaction space for smartphones and smartwatches. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/173490

Chicago Manual of Style (16th Edition):

Arefin Shimon, Shaikh Shawon. “Exploring user-defined gestures for alternate interaction space for smartphones and smartwatches.” 2016. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/173490.

MLA Handbook (7th Edition):

Arefin Shimon, Shaikh Shawon. “Exploring user-defined gestures for alternate interaction space for smartphones and smartwatches.” 2016. Web. 19 Sep 2019.

Vancouver:

Arefin Shimon SS. Exploring user-defined gestures for alternate interaction space for smartphones and smartwatches. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/173490.

Council of Science Editors:

Arefin Shimon SS. Exploring user-defined gestures for alternate interaction space for smartphones and smartwatches. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173490


Colorado State University

6. Mulay, Gururaj. Adapting RGB pose estimation to new domains.

Degree: MS(M.S.), Computer Science, 2019, Colorado State University

 Many multi-modal human computer interaction (HCI) systems interact with users in real-time by estimating the user's pose. Generally, they estimate human poses using depth sensors… (more)

Subjects/Keywords: CWC; Human Pose Estimation; RMPE; HCI; Convolutional Neural Networks; Microsoft Kinect

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Mulay, G. (2019). Adapting RGB pose estimation to new domains. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/195409

Chicago Manual of Style (16th Edition):

Mulay, Gururaj. “Adapting RGB pose estimation to new domains.” 2019. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/195409.

MLA Handbook (7th Edition):

Mulay, Gururaj. “Adapting RGB pose estimation to new domains.” 2019. Web. 19 Sep 2019.

Vancouver:

Mulay G. Adapting RGB pose estimation to new domains. [Internet] [Masters thesis]. Colorado State University; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/195409.

Council of Science Editors:

Mulay G. Adapting RGB pose estimation to new domains. [Masters Thesis]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/195409


Colorado State University

7. 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

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 September 19, 2019. http://hdl.handle.net/10217/173560.

MLA Handbook (7th Edition):

Agnihotri, Nikhil. “RIDMBC for object recognition using Convolutional Neural Networks.” 2016. Web. 19 Sep 2019.

Vancouver:

Agnihotri N. RIDMBC for object recognition using Convolutional Neural Networks. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2019 Sep 19]. 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

8. 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 September 19, 2019. http://hdl.handle.net/10217/173486.

MLA Handbook (7th Edition):

Sidhu, Rumpal Kaur. “Tutorial on Minimum Output Sum of Squared Error filter.” 2016. Web. 19 Sep 2019.

Vancouver:

Sidhu RK. Tutorial on Minimum Output Sum of Squared Error filter. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2019 Sep 19]. 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

9. 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 September 19, 2019. http://hdl.handle.net/10217/167024.

MLA Handbook (7th Edition):

Bhikadiya, Jatin V. “Performance evaluation of Local Features for Object Discovery.” 2015. Web. 19 Sep 2019.

Vancouver:

Bhikadiya JV. Performance evaluation of Local Features for Object Discovery. [Internet] [Masters thesis]. Colorado State University; 2015. [cited 2019 Sep 19]. 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

10. Elliott, Daniel L. Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The.

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

 Reinforcement learning agents learn by exploring the environment and then exploiting what they have learned. This frees the human trainers from having to know the… (more)

Subjects/Keywords: machine learning; Q-learning; ensemble; reinforcement learning; neural networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Elliott, D. L. (2018). Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/191477

Chicago Manual of Style (16th Edition):

Elliott, Daniel L. “Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The.” 2018. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/191477.

MLA Handbook (7th Edition):

Elliott, Daniel L. “Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The.” 2018. Web. 19 Sep 2019.

Vancouver:

Elliott DL. Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/191477.

Council of Science Editors:

Elliott DL. Wisdom of the crowd : reliable deep reinforcement learning through ensembles of Q-functions, The. [Doctoral Dissertation]. Colorado State University; 2018. Available from: http://hdl.handle.net/10217/191477


Colorado State University

11. Zhang, Hao. Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets.

Degree: PhD, Computer Science, 2016, Colorado State University

 Nearest neighbor search is an important operation whose goal is to find items in the dataset that are similar to a given query. It has… (more)

Subjects/Keywords: Hashing; Nearest neighbor search; Unsupervised; Large-scale dataset; Binary code; Quantization

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, H. (2016). Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/173342

Chicago Manual of Style (16th Edition):

Zhang, Hao. “Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets.” 2016. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/173342.

MLA Handbook (7th Edition):

Zhang, Hao. “Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets.” 2016. Web. 19 Sep 2019.

Vancouver:

Zhang H. Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/173342.

Council of Science Editors:

Zhang H. Unsupervised binary code learning for approximate nearest neighbor search in large-scale datasets. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/173342


Colorado State University

12. Ashari, Rehab Bahaaddin. EEG Subspace Analysis and Classification Using Principal Angles For Brain-Computer Interfaces.

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

 Brain-Computer Interfaces (BCIs) help paralyzed people who have lost some or all of their ability to communicate and control the outside environment from loss of… (more)

Subjects/Keywords: Principal angles; Brain Computer Interfaces; Subspace

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ashari, R. B. (2015). EEG Subspace Analysis and Classification Using Principal Angles For Brain-Computer Interfaces. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/167006

Chicago Manual of Style (16th Edition):

Ashari, Rehab Bahaaddin. “EEG Subspace Analysis and Classification Using Principal Angles For Brain-Computer Interfaces.” 2015. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/167006.

MLA Handbook (7th Edition):

Ashari, Rehab Bahaaddin. “EEG Subspace Analysis and Classification Using Principal Angles For Brain-Computer Interfaces.” 2015. Web. 19 Sep 2019.

Vancouver:

Ashari RB. EEG Subspace Analysis and Classification Using Principal Angles For Brain-Computer Interfaces. [Internet] [Doctoral dissertation]. Colorado State University; 2015. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/167006.

Council of Science Editors:

Ashari RB. EEG Subspace Analysis and Classification Using Principal Angles For Brain-Computer Interfaces. [Doctoral Dissertation]. Colorado State University; 2015. Available from: http://hdl.handle.net/10217/167006


Colorado State University

13. 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 September 19, 2019. http://hdl.handle.net/10217/189292.

MLA Handbook (7th Edition):

Chen, Wenxiang. “Discovering and harnessing structures in solving application satisfiability instances.” 2018. Web. 19 Sep 2019.

Vancouver:

Chen W. Discovering and harnessing structures in solving application satisfiability instances. [Internet] [Doctoral dissertation]. Colorado State University; 2018. [cited 2019 Sep 19]. 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

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

Degree: PhD, Computer Science, 2019, 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. (2019). 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.” 2019. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/193149.

MLA Handbook (7th Edition):

Narayana, Pradyumna. “Improving gesture recognition through spatial focus of attention.” 2019. Web. 19 Sep 2019.

Vancouver:

Narayana P. Improving gesture recognition through spatial focus of attention. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Sep 19]. 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; 2019. Available from: http://hdl.handle.net/10217/193149


Colorado State University

15. Malensek, Matthew. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.

Degree: PhD, Computer Science, 2017, Colorado State University

 Ubiquitous data collection from sources such as remote sensing equipment, networked observational devices, location-based services, and sales tracking has led to the accumulation of voluminous… (more)

Subjects/Keywords: Big Data; Analytic Queries; Distributed Systems

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Malensek, M. (2017). Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/183998

Chicago Manual of Style (16th Edition):

Malensek, Matthew. “Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.” 2017. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/183998.

MLA Handbook (7th Edition):

Malensek, Matthew. “Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets.” 2017. Web. 19 Sep 2019.

Vancouver:

Malensek M. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/183998.

Council of Science Editors:

Malensek M. Low-latency, query-driven analytics over voluminous multidimensional, spatiotemporal datasets. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/183998


Colorado State University

16. Marrinan, Timothy P. Grassmann, Flag, and Schubert varieties in applications.

Degree: PhD, Mathematics, 2017, Colorado State University

 This dissertation develops mathematical tools for signal processing and pattern recognition tasks where data with the same identity is assumed to vary linearly. We build… (more)

Subjects/Keywords: Grassmann Manifolds; Pattern Analysis; Singular Value Decomposition; Hyperspectral Images; Flag Manifolds; Schubert Varieties

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Marrinan, T. P. (2017). Grassmann, Flag, and Schubert varieties in applications. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/181430

Chicago Manual of Style (16th Edition):

Marrinan, Timothy P. “Grassmann, Flag, and Schubert varieties in applications.” 2017. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/181430.

MLA Handbook (7th Edition):

Marrinan, Timothy P. “Grassmann, Flag, and Schubert varieties in applications.” 2017. Web. 19 Sep 2019.

Vancouver:

Marrinan TP. Grassmann, Flag, and Schubert varieties in applications. [Internet] [Doctoral dissertation]. Colorado State University; 2017. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/181430.

Council of Science Editors:

Marrinan TP. Grassmann, Flag, and Schubert varieties in applications. [Doctoral Dissertation]. Colorado State University; 2017. Available from: http://hdl.handle.net/10217/181430


Colorado State University

17. Douda, Nathaniel D. Retinal Mediators of Uniform Color Appearance.

Degree: PhD, Psychology, 2019, Colorado State University

 The landscape of retinal cell distribution changes drastically from the central retina (0˚ retinal eccentricity) out to the peripheral retina, with changes occurring both in… (more)

Subjects/Keywords: Hue Naming; Vision; Visual Perception; Psychophysics; Color Perception; Visual Neuroscience

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Douda, N. D. (2019). Retinal Mediators of Uniform Color Appearance. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/197368

Chicago Manual of Style (16th Edition):

Douda, Nathaniel D. “Retinal Mediators of Uniform Color Appearance.” 2019. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/197368.

MLA Handbook (7th Edition):

Douda, Nathaniel D. “Retinal Mediators of Uniform Color Appearance.” 2019. Web. 19 Sep 2019.

Vancouver:

Douda ND. Retinal Mediators of Uniform Color Appearance. [Internet] [Doctoral dissertation]. Colorado State University; 2019. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/197368.

Council of Science Editors:

Douda ND. Retinal Mediators of Uniform Color Appearance. [Doctoral Dissertation]. Colorado State University; 2019. Available from: http://hdl.handle.net/10217/197368

18. Kahanda, Indika. Large-scale automated protein function prediction.

Degree: PhD, Computer Science, 2016, Colorado State University

 Proteins are the workhorses of life, and identifying their functions is a very important biological problem. The function of a protein can be loosely defined… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kahanda, I. (2016). Large-scale automated protein function prediction. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/176632

Chicago Manual of Style (16th Edition):

Kahanda, Indika. “Large-scale automated protein function prediction.” 2016. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/176632.

MLA Handbook (7th Edition):

Kahanda, Indika. “Large-scale automated protein function prediction.” 2016. Web. 19 Sep 2019.

Vancouver:

Kahanda I. Large-scale automated protein function prediction. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/176632.

Council of Science Editors:

Kahanda I. Large-scale automated protein function prediction. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/176632

19. DeMaria, Robert. Automated tropical cyclone eye detection using discriminant analysis.

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

 Eye formation is often associated with rapid intensification of tropical cyclones, so this information is very valuable to hurricane forecasters. Linear and Quadratic Discriminant Analysis… (more)

Subjects/Keywords: eye detection; linear discriminant analysis; principal component analysis; quadratic discriminant analysis; tropical cyclone

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

DeMaria, R. (2016). Automated tropical cyclone eye detection using discriminant analysis. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/170410

Chicago Manual of Style (16th Edition):

DeMaria, Robert. “Automated tropical cyclone eye detection using discriminant analysis.” 2016. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/170410.

MLA Handbook (7th Edition):

DeMaria, Robert. “Automated tropical cyclone eye detection using discriminant analysis.” 2016. Web. 19 Sep 2019.

Vancouver:

DeMaria R. Automated tropical cyclone eye detection using discriminant analysis. [Internet] [Masters thesis]. Colorado State University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/170410.

Council of Science Editors:

DeMaria R. Automated tropical cyclone eye detection using discriminant analysis. [Masters Thesis]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170410

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

Degree: PhD, Computer Science, 2016, 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. (2016). 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.” 2016. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/170396.

MLA Handbook (7th Edition):

Alsaaran, Hessah. “Unsupervised video segmentation using temporal coherence of motion.” 2016. Web. 19 Sep 2019.

Vancouver:

Alsaaran H. Unsupervised video segmentation using temporal coherence of motion. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Sep 19]. 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; 2016. Available from: http://hdl.handle.net/10217/170396

21. Wigness, Maggie. Hierarchical cluster guided labeling : efficient label collection for visual classification.

Degree: PhD, Computer Science, 2016, Colorado State University

 Visual classification is a core component in many visually intelligent systems. For example, recognition of objects and terrains provides perception during path planning and navigation… (more)

Subjects/Keywords: concept discovery; efficient label collection; hierarchical clustering; image classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wigness, M. (2016). Hierarchical cluster guided labeling : efficient label collection for visual classification. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/170415

Chicago Manual of Style (16th Edition):

Wigness, Maggie. “Hierarchical cluster guided labeling : efficient label collection for visual classification.” 2016. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/170415.

MLA Handbook (7th Edition):

Wigness, Maggie. “Hierarchical cluster guided labeling : efficient label collection for visual classification.” 2016. Web. 19 Sep 2019.

Vancouver:

Wigness M. Hierarchical cluster guided labeling : efficient label collection for visual classification. [Internet] [Doctoral dissertation]. Colorado State University; 2016. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/170415.

Council of Science Editors:

Wigness M. Hierarchical cluster guided labeling : efficient label collection for visual classification. [Doctoral Dissertation]. Colorado State University; 2016. Available from: http://hdl.handle.net/10217/170415


Colorado State University

22. Segreto, Steve. Garbage elimination in SA-C host code.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Single-assignment C (SA-C) is a functional programming language with a rich instruction set designed to create and manipulate arrays using array slices and window generators.… (more)

Subjects/Keywords: Functional programming languages

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Segreto, S. (2007). Garbage elimination in SA-C host code. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/90225

Chicago Manual of Style (16th Edition):

Segreto, Steve. “Garbage elimination in SA-C host code.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/90225.

MLA Handbook (7th Edition):

Segreto, Steve. “Garbage elimination in SA-C host code.” 2007. Web. 19 Sep 2019.

Vancouver:

Segreto S. Garbage elimination in SA-C host code. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/90225.

Council of Science Editors:

Segreto S. Garbage elimination in SA-C host code. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/90225


Colorado State University

23. Arn, Robert T. Object and action detection methods using MOSSE filters.

Degree: MS(M.S.), Mathematics, 2007, Colorado State University

 In this thesis we explore the application of the Minimum Output Sum of Squared Error (MOSSE) filter to object detection in images as well as… (more)

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Arn, R. T. (2007). Object and action detection methods using MOSSE filters. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/71612

Chicago Manual of Style (16th Edition):

Arn, Robert T. “Object and action detection methods using MOSSE filters.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/71612.

MLA Handbook (7th Edition):

Arn, Robert T. “Object and action detection methods using MOSSE filters.” 2007. Web. 19 Sep 2019.

Vancouver:

Arn RT. Object and action detection methods using MOSSE filters. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/71612.

Council of Science Editors:

Arn RT. Object and action detection methods using MOSSE filters. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/71612


Colorado State University

24. Burnett, Kevin. Modeling and querying uncertain data for activity recognition systems using PostgreSQL.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Activity Recognition (AR) systems interpret events in video streams by identifying actions and objects and combining these descriptors into events. Relational databases can be used… (more)

Subjects/Keywords: PostgreSQL; Viterbi

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Burnett, K. (2007). Modeling and querying uncertain data for activity recognition systems using PostgreSQL. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/67998

Chicago Manual of Style (16th Edition):

Burnett, Kevin. “Modeling and querying uncertain data for activity recognition systems using PostgreSQL.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/67998.

MLA Handbook (7th Edition):

Burnett, Kevin. “Modeling and querying uncertain data for activity recognition systems using PostgreSQL.” 2007. Web. 19 Sep 2019.

Vancouver:

Burnett K. Modeling and querying uncertain data for activity recognition systems using PostgreSQL. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/67998.

Council of Science Editors:

Burnett K. Modeling and querying uncertain data for activity recognition systems using PostgreSQL. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/67998


Colorado State University

25. Marrinan, Timothy P. Flag of best fit as a representative for a collection of linear subspaces, The.

Degree: MS(M.S.), Mathematics, 2007, Colorado State University

 This thesis will develop a technique for representing a collection of subspaces with a flag of best fit, and apply it to practical problems within… (more)

Subjects/Keywords: flag manifold; flag mean; Grassmann manifold; Karcher mean; subspace average; SVD

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Marrinan, T. P. (2007). Flag of best fit as a representative for a collection of linear subspaces, The. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/81042

Chicago Manual of Style (16th Edition):

Marrinan, Timothy P. “Flag of best fit as a representative for a collection of linear subspaces, The.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/81042.

MLA Handbook (7th Edition):

Marrinan, Timothy P. “Flag of best fit as a representative for a collection of linear subspaces, The.” 2007. Web. 19 Sep 2019.

Vancouver:

Marrinan TP. Flag of best fit as a representative for a collection of linear subspaces, The. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/81042.

Council of Science Editors:

Marrinan TP. Flag of best fit as a representative for a collection of linear subspaces, The. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/81042


Colorado State University

26. Ziegelmeier, Lori Beth. Exploiting geometry, topology, and optimization for knowledge discovery in big data.

Degree: PhD, Mathematics, 2007, Colorado State University

 In this dissertation, we consider several topics that are united by the theme of topological and geometric data analysis. First, we consider an application in… (more)

Subjects/Keywords: Convex Hull; dimensionality reduction; topology; quantization; optimization; geometry

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ziegelmeier, L. B. (2007). Exploiting geometry, topology, and optimization for knowledge discovery in big data. (Doctoral Dissertation). Colorado State University. Retrieved from http://hdl.handle.net/10217/88343

Chicago Manual of Style (16th Edition):

Ziegelmeier, Lori Beth. “Exploiting geometry, topology, and optimization for knowledge discovery in big data.” 2007. Doctoral Dissertation, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/88343.

MLA Handbook (7th Edition):

Ziegelmeier, Lori Beth. “Exploiting geometry, topology, and optimization for knowledge discovery in big data.” 2007. Web. 19 Sep 2019.

Vancouver:

Ziegelmeier LB. Exploiting geometry, topology, and optimization for knowledge discovery in big data. [Internet] [Doctoral dissertation]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/88343.

Council of Science Editors:

Ziegelmeier LB. Exploiting geometry, topology, and optimization for knowledge discovery in big data. [Doctoral Dissertation]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88343


Colorado State University

27. Nguyen, Maia T. Effects of in-group bias on face recognition using minimal group procedures.

Degree: MS(M.S.), Psychology, 2007, Colorado State University

 The current series of experiments examined the effects of social categorization on face recognition. The use of minimal group procedures was expected to enhance recognition… (more)

Subjects/Keywords: face recognition; minimal groups

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Nguyen, M. T. (2007). Effects of in-group bias on face recognition using minimal group procedures. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/88583

Chicago Manual of Style (16th Edition):

Nguyen, Maia T. “Effects of in-group bias on face recognition using minimal group procedures.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/88583.

MLA Handbook (7th Edition):

Nguyen, Maia T. “Effects of in-group bias on face recognition using minimal group procedures.” 2007. Web. 19 Sep 2019.

Vancouver:

Nguyen MT. Effects of in-group bias on face recognition using minimal group procedures. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/88583.

Council of Science Editors:

Nguyen MT. Effects of in-group bias on face recognition using minimal group procedures. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/88583


Colorado State University

28. Patmore, Keegan P. Evaluating the performance of iPhoto facial recognition at the biometric verification task.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 The Faces feature of Apple's iPhoto '09 software uses facial recognition techniques to help people organize their digital photographs. This work seeks to measure the… (more)

Subjects/Keywords: biometric; facial recognition; computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Patmore, K. P. (2007). Evaluating the performance of iPhoto facial recognition at the biometric verification task. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/65350

Chicago Manual of Style (16th Edition):

Patmore, Keegan P. “Evaluating the performance of iPhoto facial recognition at the biometric verification task.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/65350.

MLA Handbook (7th Edition):

Patmore, Keegan P. “Evaluating the performance of iPhoto facial recognition at the biometric verification task.” 2007. Web. 19 Sep 2019.

Vancouver:

Patmore KP. Evaluating the performance of iPhoto facial recognition at the biometric verification task. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/65350.

Council of Science Editors:

Patmore KP. Evaluating the performance of iPhoto facial recognition at the biometric verification task. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/65350


Colorado State University

29. Wigness, Maggie. Evaluating cluster quality for visual data.

Degree: MS(M.S.), Computer Science, 2007, Colorado State University

 Digital video cameras have made it easy to collect large amounts of unlabeled data that can be used to learn to recognize objects and actions.… (more)

Subjects/Keywords: cluster quality measures; image clustering; computer vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wigness, M. (2007). Evaluating cluster quality for visual data. (Masters Thesis). Colorado State University. Retrieved from http://hdl.handle.net/10217/79204

Chicago Manual of Style (16th Edition):

Wigness, Maggie. “Evaluating cluster quality for visual data.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/79204.

MLA Handbook (7th Edition):

Wigness, Maggie. “Evaluating cluster quality for visual data.” 2007. Web. 19 Sep 2019.

Vancouver:

Wigness M. Evaluating cluster quality for visual data. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. Available from: http://hdl.handle.net/10217/79204.

Council of Science Editors:

Wigness M. Evaluating cluster quality for visual data. [Masters Thesis]. Colorado State University; 2007. Available from: http://hdl.handle.net/10217/79204


Colorado State University

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

Degree: MS(M.S.), Psychology, 2007, 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. (2007). 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.” 2007. Masters Thesis, Colorado State University. Accessed September 19, 2019. http://hdl.handle.net/10217/83900.

MLA Handbook (7th Edition):

Bastidas, Stephanie P. “Attentional biases and time course of emotion processing in depression.” 2007. Web. 19 Sep 2019.

Vancouver:

Bastidas SP. Attentional biases and time course of emotion processing in depression. [Internet] [Masters thesis]. Colorado State University; 2007. [cited 2019 Sep 19]. 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; 2007. Available from: http://hdl.handle.net/10217/83900

[1] [2]

.