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You searched for +publisher:"U of Denver" +contributor:("Mohammad H. Mahoor"). Showing records 1 – 11 of 11 total matches.

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1. Mollahosseini, Ali. Developing an Affect-Aware Rear-Projected Robotic Agent.

Degree: PhD, Computer Science and Engineering, 2018, U of Denver

  Social (or Sociable) robots are designed to interact with people in a natural and interpersonal manner. They are becoming an integrated part of our… (more)

Subjects/Keywords: Affect perception; Empathic robot; Facial expressions; Human robot interaction; Rear projected robot; Social robots; Artificial Intelligence and Robotics; Computer Engineering; Computer Sciences; Robotics

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APA (6th Edition):

Mollahosseini, A. (2018). Developing an Affect-Aware Rear-Projected Robotic Agent. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1413

Chicago Manual of Style (16th Edition):

Mollahosseini, Ali. “Developing an Affect-Aware Rear-Projected Robotic Agent.” 2018. Doctoral Dissertation, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/1413.

MLA Handbook (7th Edition):

Mollahosseini, Ali. “Developing an Affect-Aware Rear-Projected Robotic Agent.” 2018. Web. 23 Sep 2019.

Vancouver:

Mollahosseini A. Developing an Affect-Aware Rear-Projected Robotic Agent. [Internet] [Doctoral dissertation]. U of Denver; 2018. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/1413.

Council of Science Editors:

Mollahosseini A. Developing an Affect-Aware Rear-Projected Robotic Agent. [Doctoral Dissertation]. U of Denver; 2018. Available from: https://digitalcommons.du.edu/etd/1413

2. Zhang, Xiao. Facial Expression Analysis via Transfer Learning.

Degree: PhD, Computer Engineering, 2015, U of Denver

  Automated analysis of facial expressions has remained an interesting and challenging research topic in the field of computer vision and pattern recognition due to… (more)

Subjects/Keywords: action unit detection; facial expression recognition; multiple kernel learning; multi-task learning; support vector machines; transfer learning

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APA (6th Edition):

Zhang, X. (2015). Facial Expression Analysis via Transfer Learning. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/731

Chicago Manual of Style (16th Edition):

Zhang, Xiao. “Facial Expression Analysis via Transfer Learning.” 2015. Doctoral Dissertation, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/731.

MLA Handbook (7th Edition):

Zhang, Xiao. “Facial Expression Analysis via Transfer Learning.” 2015. Web. 23 Sep 2019.

Vancouver:

Zhang X. Facial Expression Analysis via Transfer Learning. [Internet] [Doctoral dissertation]. U of Denver; 2015. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/731.

Council of Science Editors:

Zhang X. Facial Expression Analysis via Transfer Learning. [Doctoral Dissertation]. U of Denver; 2015. Available from: https://digitalcommons.du.edu/etd/731

3. Rezaeilouyeh, Hadi. Computer-aided Cancer Diagnosis and Grading via Sparse Directional Image Representations.

Degree: PhD, Electrical Engineering, 2017, U of Denver

  Prostate cancer and breast cancer are the second cause of death among cancers in males and females, respectively. If not diagnosed, prostate and breast… (more)

Subjects/Keywords: Biomedical Devices and Instrumentation; Other Engineering

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APA (6th Edition):

Rezaeilouyeh, H. (2017). Computer-aided Cancer Diagnosis and Grading via Sparse Directional Image Representations. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1369

Chicago Manual of Style (16th Edition):

Rezaeilouyeh, Hadi. “Computer-aided Cancer Diagnosis and Grading via Sparse Directional Image Representations.” 2017. Doctoral Dissertation, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/1369.

MLA Handbook (7th Edition):

Rezaeilouyeh, Hadi. “Computer-aided Cancer Diagnosis and Grading via Sparse Directional Image Representations.” 2017. Web. 23 Sep 2019.

Vancouver:

Rezaeilouyeh H. Computer-aided Cancer Diagnosis and Grading via Sparse Directional Image Representations. [Internet] [Doctoral dissertation]. U of Denver; 2017. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/1369.

Council of Science Editors:

Rezaeilouyeh H. Computer-aided Cancer Diagnosis and Grading via Sparse Directional Image Representations. [Doctoral Dissertation]. U of Denver; 2017. Available from: https://digitalcommons.du.edu/etd/1369

4. Shekhar, Diwanshu. A Bi-Encoder LSTM Model for Learning Unstructured Dialogs.

Degree: MS, Computer Science, 2018, U of Denver

  Creating a data-driven model that is trained on a large dataset of unstructured dialogs is a crucial step in developing a Retrieval-based Chatbot systems.… (more)

Subjects/Keywords: Bi-Encoder; Learning; LSTM; Machine; RNN; Ubuntu; Computer Sciences; Physical Sciences and Mathematics

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APA (6th Edition):

Shekhar, D. (2018). A Bi-Encoder LSTM Model for Learning Unstructured Dialogs. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1508

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):

Shekhar, Diwanshu. “A Bi-Encoder LSTM Model for Learning Unstructured Dialogs.” 2018. Thesis, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/1508.

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

MLA Handbook (7th Edition):

Shekhar, Diwanshu. “A Bi-Encoder LSTM Model for Learning Unstructured Dialogs.” 2018. Web. 23 Sep 2019.

Vancouver:

Shekhar D. A Bi-Encoder LSTM Model for Learning Unstructured Dialogs. [Internet] [Thesis]. U of Denver; 2018. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/1508.

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

Council of Science Editors:

Shekhar D. A Bi-Encoder LSTM Model for Learning Unstructured Dialogs. [Thesis]. U of Denver; 2018. Available from: https://digitalcommons.du.edu/etd/1508

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

5. Mavadati, Seyedmohammad. Spontaneous Facial Behavior Computing in Human Machine Interaction with Applications in Autism Treatment.

Degree: PhD, Engineering, 2015, U of Denver

  Digital devices and computing machines such as computers, hand-held devices and robots are becoming an important part of our daily life. To have affect-aware… (more)

Subjects/Keywords: Autism Spectrum Disorder (ASD); Autism therapy setting; Dynamic Actions Units; Facial expression; Human Machine Interaction (HMI); Spontaneous facial behavior; Biological Psychology; Biomedical; Electrical and Computer Engineering

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APA (6th Edition):

Mavadati, S. (2015). Spontaneous Facial Behavior Computing in Human Machine Interaction with Applications in Autism Treatment. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/407

Chicago Manual of Style (16th Edition):

Mavadati, Seyedmohammad. “Spontaneous Facial Behavior Computing in Human Machine Interaction with Applications in Autism Treatment.” 2015. Doctoral Dissertation, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/407.

MLA Handbook (7th Edition):

Mavadati, Seyedmohammad. “Spontaneous Facial Behavior Computing in Human Machine Interaction with Applications in Autism Treatment.” 2015. Web. 23 Sep 2019.

Vancouver:

Mavadati S. Spontaneous Facial Behavior Computing in Human Machine Interaction with Applications in Autism Treatment. [Internet] [Doctoral dissertation]. U of Denver; 2015. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/407.

Council of Science Editors:

Mavadati S. Spontaneous Facial Behavior Computing in Human Machine Interaction with Applications in Autism Treatment. [Doctoral Dissertation]. U of Denver; 2015. Available from: https://digitalcommons.du.edu/etd/407

6. Feng, Huanghao. Studying Eye Gaze of Children with Autism Spectrum Disorders in Interaction with a Social Robot.

Degree: MS, Engineering, 2014, U of Denver

  Children with Autism Spectrum Disorders (ASDs) experience deficits in verbal and nonverbal communication skills including motor control, emotional facial expressions, and eye gaze attention.… (more)

Subjects/Keywords: Autism; Eye-gaze; Hidden Markov Model; NAO Robot; Robot-human interaction; Variable-order Markov Model; Engineering; Psychology

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APA (6th Edition):

Feng, H. (2014). Studying Eye Gaze of Children with Autism Spectrum Disorders in Interaction with a Social Robot. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/193

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):

Feng, Huanghao. “Studying Eye Gaze of Children with Autism Spectrum Disorders in Interaction with a Social Robot.” 2014. Thesis, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/193.

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

MLA Handbook (7th Edition):

Feng, Huanghao. “Studying Eye Gaze of Children with Autism Spectrum Disorders in Interaction with a Social Robot.” 2014. Web. 23 Sep 2019.

Vancouver:

Feng H. Studying Eye Gaze of Children with Autism Spectrum Disorders in Interaction with a Social Robot. [Internet] [Thesis]. U of Denver; 2014. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/193.

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

Council of Science Editors:

Feng H. Studying Eye Gaze of Children with Autism Spectrum Disorders in Interaction with a Social Robot. [Thesis]. U of Denver; 2014. Available from: https://digitalcommons.du.edu/etd/193

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

7. Bakhshi Khayani, Saba. Development of Wearable Sensors for Body Joint Angle Measurement.

Degree: MS, Electrical Engineering, 2011, U of Denver

  This thesis presents the development of three different methods for body joint angle measurement using wearable sensors. Continuous monitoring of patients' movements and activities… (more)

Subjects/Keywords: Electrical and Computer Engineering; Engineering

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APA (6th Edition):

Bakhshi Khayani, S. (2011). Development of Wearable Sensors for Body Joint Angle Measurement. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/49

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):

Bakhshi Khayani, Saba. “Development of Wearable Sensors for Body Joint Angle Measurement.” 2011. Thesis, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/49.

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

MLA Handbook (7th Edition):

Bakhshi Khayani, Saba. “Development of Wearable Sensors for Body Joint Angle Measurement.” 2011. Web. 23 Sep 2019.

Vancouver:

Bakhshi Khayani S. Development of Wearable Sensors for Body Joint Angle Measurement. [Internet] [Thesis]. U of Denver; 2011. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/49.

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

Council of Science Editors:

Bakhshi Khayani S. Development of Wearable Sensors for Body Joint Angle Measurement. [Thesis]. U of Denver; 2011. Available from: https://digitalcommons.du.edu/etd/49

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

8. Lu, Qiang. Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles.

Degree: PhD, Computer Science and Engineering, 2019, U of Denver

  In this dissertation, we address a problem of safe and efficient intersection crossing traffic management of autonomous and connected ground traffic. Toward this objective,… (more)

Subjects/Keywords: Algorithm; Autonomous vehicles; Intersection control; Optimization; Controls and Control Theory; Electrical and Computer Engineering

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APA (6th Edition):

Lu, Q. (2019). Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/1541

Chicago Manual of Style (16th Edition):

Lu, Qiang. “Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles.” 2019. Doctoral Dissertation, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/1541.

MLA Handbook (7th Edition):

Lu, Qiang. “Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles.” 2019. Web. 23 Sep 2019.

Vancouver:

Lu Q. Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles. [Internet] [Doctoral dissertation]. U of Denver; 2019. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/1541.

Council of Science Editors:

Lu Q. Safe and Efficient Intelligent Intersection Control of Autonomous Vehicles. [Doctoral Dissertation]. U of Denver; 2019. Available from: https://digitalcommons.du.edu/etd/1541

9. Wu, Guosheng. SIFT-ME: A New Feature for Human Activity Recognition.

Degree: MS, Computer Engineering, 2010, U of Denver

  Action representation for robust human activity recognition is still a challenging problem. This thesis proposed a new feature for human activity recognition named SIFT-Motion… (more)

Subjects/Keywords: Activity Recognition; GMM; Motion Estimation; SIFT; SIFT-ME

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APA (6th Edition):

Wu, G. (2010). SIFT-ME: A New Feature for Human Activity Recognition. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/718

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

Chicago Manual of Style (16th Edition):

Wu, Guosheng. “SIFT-ME: A New Feature for Human Activity Recognition.” 2010. Thesis, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/718.

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

MLA Handbook (7th Edition):

Wu, Guosheng. “SIFT-ME: A New Feature for Human Activity Recognition.” 2010. Web. 23 Sep 2019.

Vancouver:

Wu G. SIFT-ME: A New Feature for Human Activity Recognition. [Internet] [Thesis]. U of Denver; 2010. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/718.

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

Council of Science Editors:

Wu G. SIFT-ME: A New Feature for Human Activity Recognition. [Thesis]. U of Denver; 2010. Available from: https://digitalcommons.du.edu/etd/718

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

10. Veon, Kevin. Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering.

Degree: MS, Computer Engineering, 2011, U of Denver

  Video stabilization removes unwanted motion from video sequences, often caused by vibrations or other instabilities. This improves video viewability and can aid in detection… (more)

Subjects/Keywords: Computer Vision Applications; Fuzzy Set Theory; Kalman Filtering; Motion Estimation; Scale-Invariant Feature Transform; Video Stabilization

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APA (6th Edition):

Veon, K. (2011). Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering. (Thesis). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/675

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):

Veon, Kevin. “Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering.” 2011. Thesis, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/675.

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

MLA Handbook (7th Edition):

Veon, Kevin. “Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering.” 2011. Web. 23 Sep 2019.

Vancouver:

Veon K. Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering. [Internet] [Thesis]. U of Denver; 2011. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/675.

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

Council of Science Editors:

Veon K. Video Stabilization using SIFT Features, Fuzzy Clustering, and Kalman Filtering. [Thesis]. U of Denver; 2011. Available from: https://digitalcommons.du.edu/etd/675

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

11. Althloothi, Salah R. Human Action Recognition via Fused Kinematic Structure and Surface Representation.

Degree: PhD, Computer Engineering, 2013, U of Denver

  Human action recognition from visual data has remained a challenging problem in the field of computer vision and pattern recognition. This dissertation introduces a… (more)

Subjects/Keywords: Computer Engineering; Computer Sciences

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

APA (6th Edition):

Althloothi, S. R. (2013). Human Action Recognition via Fused Kinematic Structure and Surface Representation. (Doctoral Dissertation). U of Denver. Retrieved from https://digitalcommons.du.edu/etd/27

Chicago Manual of Style (16th Edition):

Althloothi, Salah R. “Human Action Recognition via Fused Kinematic Structure and Surface Representation.” 2013. Doctoral Dissertation, U of Denver. Accessed September 23, 2019. https://digitalcommons.du.edu/etd/27.

MLA Handbook (7th Edition):

Althloothi, Salah R. “Human Action Recognition via Fused Kinematic Structure and Surface Representation.” 2013. Web. 23 Sep 2019.

Vancouver:

Althloothi SR. Human Action Recognition via Fused Kinematic Structure and Surface Representation. [Internet] [Doctoral dissertation]. U of Denver; 2013. [cited 2019 Sep 23]. Available from: https://digitalcommons.du.edu/etd/27.

Council of Science Editors:

Althloothi SR. Human Action Recognition via Fused Kinematic Structure and Surface Representation. [Doctoral Dissertation]. U of Denver; 2013. Available from: https://digitalcommons.du.edu/etd/27

.