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:"Penn State University" +contributor:("Robert Collins, Committee Member"). Showing records 1 – 21 of 21 total matches.

Search Limiters

Last 2 Years | English Only

No search limiters apply to these results.

▼ Search Limiters


Penn State University

1. Kuhlengel, Trevor Keith. Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies.

Degree: 2017, Penn State University

 Bronchoscopic biopsy of suspicious sites is a critical component of lung-cancer staging. Physicians use PET/CT studies to provide structural and functional information important to diagnosis,… (more)

Subjects/Keywords: PET/CT; PET; CT; affinity propagation; lung cancer; automated detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Kuhlengel, T. K. (2017). Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14658tkk3

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):

Kuhlengel, Trevor Keith. “Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies.” 2017. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/14658tkk3.

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

MLA Handbook (7th Edition):

Kuhlengel, Trevor Keith. “Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies.” 2017. Web. 29 Nov 2020.

Vancouver:

Kuhlengel TK. Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/14658tkk3.

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

Council of Science Editors:

Kuhlengel TK. Affinity Propagation for Computer-aided Detection of Lung Cancer in 3D PET/CT Studies. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14658tkk3

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


Penn State University

2. Wang, Tianhe. 3D Human pose estimation on Taiji sequence.

Degree: 2018, Penn State University

 Human pose estimation is a task that has been extensively studied in the field of computer vision. Given a video frame or an image, a… (more)

Subjects/Keywords: Pose estimation; Neural Networks; Motion Capture; Regression

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wang, T. (2018). 3D Human pose estimation on Taiji sequence. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15682tzw43

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):

Wang, Tianhe. “3D Human pose estimation on Taiji sequence.” 2018. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/15682tzw43.

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

MLA Handbook (7th Edition):

Wang, Tianhe. “3D Human pose estimation on Taiji sequence.” 2018. Web. 29 Nov 2020.

Vancouver:

Wang T. 3D Human pose estimation on Taiji sequence. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/15682tzw43.

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

Council of Science Editors:

Wang T. 3D Human pose estimation on Taiji sequence. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15682tzw43

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


Penn State University

3. Bandyopadhyay, Saptarashmi. Vessel Analysis in Narrow Band Imaging Bronchoscopic Video.

Degree: 2020, Penn State University

 Lung cancer is the leading cause of cancer fatalities in the world. The 5-year survival rate of patients is only 18%, primarily because lung cancer… (more)

Subjects/Keywords: Narrow Band Imaging; Bronchoscopy; Vessel Enhancement; Vessel Segmentation; Artificial Intelligence; Lung Cancer Detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Bandyopadhyay, S. (2020). Vessel Analysis in Narrow Band Imaging Bronchoscopic Video. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17691szb754

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):

Bandyopadhyay, Saptarashmi. “Vessel Analysis in Narrow Band Imaging Bronchoscopic Video.” 2020. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/17691szb754.

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

MLA Handbook (7th Edition):

Bandyopadhyay, Saptarashmi. “Vessel Analysis in Narrow Band Imaging Bronchoscopic Video.” 2020. Web. 29 Nov 2020.

Vancouver:

Bandyopadhyay S. Vessel Analysis in Narrow Band Imaging Bronchoscopic Video. [Internet] [Thesis]. Penn State University; 2020. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/17691szb754.

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

Council of Science Editors:

Bandyopadhyay S. Vessel Analysis in Narrow Band Imaging Bronchoscopic Video. [Thesis]. Penn State University; 2020. Available from: https://submit-etda.libraries.psu.edu/catalog/17691szb754

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


Penn State University

4. Al Maashri, Ahmed. Accelerating Design and Implementation of Embedded Vision Systems.

Degree: 2012, Penn State University

 In today’s world, embedded systems have become a necessity in our daily lives. Ranging from digital watches to factory controllers, these systems are dedicated to… (more)

Subjects/Keywords: Embedded Vision Systems; Domain-Specific Computing; Reconfigurable Computing; Power Efficiency; Neuromophic Accelerators

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Al Maashri, A. (2012). Accelerating Design and Implementation of Embedded Vision Systems. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16137

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):

Al Maashri, Ahmed. “Accelerating Design and Implementation of Embedded Vision Systems.” 2012. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/16137.

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

MLA Handbook (7th Edition):

Al Maashri, Ahmed. “Accelerating Design and Implementation of Embedded Vision Systems.” 2012. Web. 29 Nov 2020.

Vancouver:

Al Maashri A. Accelerating Design and Implementation of Embedded Vision Systems. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/16137.

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

Council of Science Editors:

Al Maashri A. Accelerating Design and Implementation of Embedded Vision Systems. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/16137

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


Penn State University

5. Srinivas, Umamahesh. Discriminative models for robust image classification.

Degree: 2013, Penn State University

 A variety of real-world tasks involve the classification of images into pre-determined categories. Designing image classification algorithms that exhibit robustness to acquisition noise and image… (more)

Subjects/Keywords: Robust image classification; image processing; graphical models; sparse signal representations.

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Srinivas, U. (2013). Discriminative models for robust image classification. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19014

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):

Srinivas, Umamahesh. “Discriminative models for robust image classification.” 2013. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/19014.

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

MLA Handbook (7th Edition):

Srinivas, Umamahesh. “Discriminative models for robust image classification.” 2013. Web. 29 Nov 2020.

Vancouver:

Srinivas U. Discriminative models for robust image classification. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/19014.

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

Council of Science Editors:

Srinivas U. Discriminative models for robust image classification. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19014

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


Penn State University

6. Palahan, Sirinda. A Framework for Mining Significant Subgraphs and Its Application in Malware Analysis.

Degree: 2014, Penn State University

 The growth of graph data has encouraged research in graph mining algorithms, especially subgraph pattern mining from graph databases. Discovered patterns could help researchers understand… (more)

Subjects/Keywords: Significant subgraph; subgraph mining; malware behavior; malware detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Palahan, S. (2014). A Framework for Mining Significant Subgraphs and Its Application in Malware Analysis. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/21698

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):

Palahan, Sirinda. “A Framework for Mining Significant Subgraphs and Its Application in Malware Analysis.” 2014. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/21698.

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

MLA Handbook (7th Edition):

Palahan, Sirinda. “A Framework for Mining Significant Subgraphs and Its Application in Malware Analysis.” 2014. Web. 29 Nov 2020.

Vancouver:

Palahan S. A Framework for Mining Significant Subgraphs and Its Application in Malware Analysis. [Internet] [Thesis]. Penn State University; 2014. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/21698.

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

Council of Science Editors:

Palahan S. A Framework for Mining Significant Subgraphs and Its Application in Malware Analysis. [Thesis]. Penn State University; 2014. Available from: https://submit-etda.libraries.psu.edu/catalog/21698

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


Penn State University

7. Yang, Xiao. Robust Text Spotting in Natural Images with Deep Neural Networks.

Degree: 2019, Penn State University

 The rich semantic information carried by the text in natural images can be utilized for many applications, such as navigation, traffic sign reading for autonomous… (more)

Subjects/Keywords: Text Spotting; Text Recognition; Deep Learning; Computer Vision; Text Detection

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Yang, X. (2019). Robust Text Spotting in Natural Images with Deep Neural Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/16817xuy111

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):

Yang, Xiao. “Robust Text Spotting in Natural Images with Deep Neural Networks.” 2019. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/16817xuy111.

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

MLA Handbook (7th Edition):

Yang, Xiao. “Robust Text Spotting in Natural Images with Deep Neural Networks.” 2019. Web. 29 Nov 2020.

Vancouver:

Yang X. Robust Text Spotting in Natural Images with Deep Neural Networks. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/16817xuy111.

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

Council of Science Editors:

Yang X. Robust Text Spotting in Natural Images with Deep Neural Networks. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/16817xuy111

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


Penn State University

8. Guo, Tiantong. Regularized Deep Networks For Inverse Problems In Image Processing And Vision.

Degree: 2019, Penn State University

 Recent computational advances such as those afforded by widespread usage of Graphic Computation Units (GPUs) and cloud computing has brought about an avalanche of learning… (more)

Subjects/Keywords: Regularized Deep Networks; Inverse Problems; Image Processing; Computer Vision

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Guo, T. (2019). Regularized Deep Networks For Inverse Problems In Image Processing And Vision. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17164txg211

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):

Guo, Tiantong. “Regularized Deep Networks For Inverse Problems In Image Processing And Vision.” 2019. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/17164txg211.

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

MLA Handbook (7th Edition):

Guo, Tiantong. “Regularized Deep Networks For Inverse Problems In Image Processing And Vision.” 2019. Web. 29 Nov 2020.

Vancouver:

Guo T. Regularized Deep Networks For Inverse Problems In Image Processing And Vision. [Internet] [Thesis]. Penn State University; 2019. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/17164txg211.

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

Council of Science Editors:

Guo T. Regularized Deep Networks For Inverse Problems In Image Processing And Vision. [Thesis]. Penn State University; 2019. Available from: https://submit-etda.libraries.psu.edu/catalog/17164txg211

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


Penn State University

9. Xiao, Li. Essays on Customer Preference Measurement.

Degree: 2013, Penn State University

 Customer preference measurement has always been an active area in marketing research. Essay 1 makes first attempt to explore customers’ preferences toward different faces in… (more)

Subjects/Keywords: preference measurement; face; facial features; eigenface; service innovation; patent

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Xiao, L. (2013). Essays on Customer Preference Measurement. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/17515

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):

Xiao, Li. “Essays on Customer Preference Measurement.” 2013. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/17515.

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

MLA Handbook (7th Edition):

Xiao, Li. “Essays on Customer Preference Measurement.” 2013. Web. 29 Nov 2020.

Vancouver:

Xiao L. Essays on Customer Preference Measurement. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/17515.

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

Council of Science Editors:

Xiao L. Essays on Customer Preference Measurement. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/17515

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


Penn State University

10. Lee, Geun Seop. Fast Regularized Total Least Squares Methods With applications.

Degree: 2013, Penn State University

 The dissertation consists of two parts. The first part considers the regularized total least squares problems. Constructing linear systems are an appropriate approach in understanding… (more)

Subjects/Keywords: Total Least Squares; Regularization; High Resolution Image Reconstruction; Newton method

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Lee, G. S. (2013). Fast Regularized Total Least Squares Methods With applications. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/19194

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):

Lee, Geun Seop. “Fast Regularized Total Least Squares Methods With applications.” 2013. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/19194.

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

MLA Handbook (7th Edition):

Lee, Geun Seop. “Fast Regularized Total Least Squares Methods With applications.” 2013. Web. 29 Nov 2020.

Vancouver:

Lee GS. Fast Regularized Total Least Squares Methods With applications. [Internet] [Thesis]. Penn State University; 2013. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/19194.

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

Council of Science Editors:

Lee GS. Fast Regularized Total Least Squares Methods With applications. [Thesis]. Penn State University; 2013. Available from: https://submit-etda.libraries.psu.edu/catalog/19194

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


Penn State University

11. Zang, Xiaonan. Ebus/ct Fusion for Image-guided Bronchoscopy.

Degree: 2016, Penn State University

 Many technical innovations in multimodal radiologic imaging and bronchoscopy have arisen to improve lung-cancer staging techniques. Among the innovations, endobronchial ultrasound (EBUS), which provides live… (more)

Subjects/Keywords: image segmentation; image registration; ultrasound

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zang, X. (2016). Ebus/ct Fusion for Image-guided Bronchoscopy. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/28651

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):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2016. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/28651.

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

MLA Handbook (7th Edition):

Zang, Xiaonan. “Ebus/ct Fusion for Image-guided Bronchoscopy.” 2016. Web. 29 Nov 2020.

Vancouver:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Internet] [Thesis]. Penn State University; 2016. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/28651.

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

Council of Science Editors:

Zang X. Ebus/ct Fusion for Image-guided Bronchoscopy. [Thesis]. Penn State University; 2016. Available from: https://submit-etda.libraries.psu.edu/catalog/28651

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


Penn State University

12. Pezeshk, Aria. FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS.

Degree: 2011, Penn State University

 Topographic maps are one the best and most abundant sources of geographic information. In most countries these maps are prepared by dedicated national organizations and… (more)

Subjects/Keywords: image processing; document recognition; mathematical morphology; text recognition

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Pezeshk, A. (2011). FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/12051

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):

Pezeshk, Aria. “FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS.” 2011. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/12051.

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

MLA Handbook (7th Edition):

Pezeshk, Aria. “FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS.” 2011. Web. 29 Nov 2020.

Vancouver:

Pezeshk A. FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS. [Internet] [Thesis]. Penn State University; 2011. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/12051.

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

Council of Science Editors:

Pezeshk A. FEATURE EXTRACTION AND TEXT RECOGNITION FROM SCANNED COLOR TOPOGRAPHIC MAPS. [Thesis]. Penn State University; 2011. Available from: https://submit-etda.libraries.psu.edu/catalog/12051

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


Penn State University

13. Seyed Mousavi, Hojjat. ENHANCED SIGNAL RECOVERY VIA SPARSITY INDUCING IMAGE PRIORS.

Degree: 2017, Penn State University

 Parsimony in signal representation is a topic of active research. Sparse signal processing and representation is the outcome of this line of research which has… (more)

Subjects/Keywords: image proccessing; signal processing; super resolution; deep learning; sparse coding; sparssity; optimization; convex

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Seyed Mousavi, H. (2017). ENHANCED SIGNAL RECOVERY VIA SPARSITY INDUCING IMAGE PRIORS. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/14790hus160

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):

Seyed Mousavi, Hojjat. “ENHANCED SIGNAL RECOVERY VIA SPARSITY INDUCING IMAGE PRIORS.” 2017. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/14790hus160.

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

MLA Handbook (7th Edition):

Seyed Mousavi, Hojjat. “ENHANCED SIGNAL RECOVERY VIA SPARSITY INDUCING IMAGE PRIORS.” 2017. Web. 29 Nov 2020.

Vancouver:

Seyed Mousavi H. ENHANCED SIGNAL RECOVERY VIA SPARSITY INDUCING IMAGE PRIORS. [Internet] [Thesis]. Penn State University; 2017. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/14790hus160.

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

Council of Science Editors:

Seyed Mousavi H. ENHANCED SIGNAL RECOVERY VIA SPARSITY INDUCING IMAGE PRIORS. [Thesis]. Penn State University; 2017. Available from: https://submit-etda.libraries.psu.edu/catalog/14790hus160

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


Penn State University

14. Wu, Yibo. Resource-Aware Crowdsourcing in Wireless Networks.

Degree: 2018, Penn State University

 The ubiquity of mobile devices has opened up opportunities for a wide range of applications based on photo/video crowdsourcing, where the server collects a large… (more)

Subjects/Keywords: Crowdsourcing; Mobile Devices; Photo; Video; Wireless Networks

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Wu, Y. (2018). Resource-Aware Crowdsourcing in Wireless Networks. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15038yxw185

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, Yibo. “Resource-Aware Crowdsourcing in Wireless Networks.” 2018. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/15038yxw185.

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

MLA Handbook (7th Edition):

Wu, Yibo. “Resource-Aware Crowdsourcing in Wireless Networks.” 2018. Web. 29 Nov 2020.

Vancouver:

Wu Y. Resource-Aware Crowdsourcing in Wireless Networks. [Internet] [Thesis]. Penn State University; 2018. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/15038yxw185.

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

Council of Science Editors:

Wu Y. Resource-Aware Crowdsourcing in Wireless Networks. [Thesis]. Penn State University; 2018. Available from: https://submit-etda.libraries.psu.edu/catalog/15038yxw185

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


Penn State University

15. Zhang, Xiao. Route Extraction, Road Name Disambiguation and Efficient Spatial Query Processing under Location Constraints.

Degree: 2012, Penn State University

 Geospatial information has drawn more and more attention from both academia and industry nowadays. As web and mobile technology thrives, publishing, sharing and retrieving of… (more)

Subjects/Keywords: human generated route descriptions; route information extraction; road name disambiguation; spatial query processing

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Zhang, X. (2012). Route Extraction, Road Name Disambiguation and Efficient Spatial Query Processing under Location Constraints. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15597

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):

Zhang, Xiao. “Route Extraction, Road Name Disambiguation and Efficient Spatial Query Processing under Location Constraints.” 2012. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/15597.

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

MLA Handbook (7th Edition):

Zhang, Xiao. “Route Extraction, Road Name Disambiguation and Efficient Spatial Query Processing under Location Constraints.” 2012. Web. 29 Nov 2020.

Vancouver:

Zhang X. Route Extraction, Road Name Disambiguation and Efficient Spatial Query Processing under Location Constraints. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/15597.

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

Council of Science Editors:

Zhang X. Route Extraction, Road Name Disambiguation and Efficient Spatial Query Processing under Location Constraints. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15597

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


Penn State University

16. Khare, Rahul Shashikant. Global Registration for Image-guided Bronchoscopy.

Degree: 2012, Penn State University

 Image guided intervention systems have been found to be very effective in carrying out accurate and skill-independent bronchoscopies. A vital aspect of such systems that… (more)

Subjects/Keywords: global registration; image-guided surgery; virtual endoscopy; virtual bronchoscopy; 3D imaging; image registration

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Khare, R. S. (2012). Global Registration for Image-guided Bronchoscopy. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/15750

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):

Khare, Rahul Shashikant. “Global Registration for Image-guided Bronchoscopy.” 2012. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/15750.

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

MLA Handbook (7th Edition):

Khare, Rahul Shashikant. “Global Registration for Image-guided Bronchoscopy.” 2012. Web. 29 Nov 2020.

Vancouver:

Khare RS. Global Registration for Image-guided Bronchoscopy. [Internet] [Thesis]. Penn State University; 2012. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/15750.

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

Council of Science Editors:

Khare RS. Global Registration for Image-guided Bronchoscopy. [Thesis]. Penn State University; 2012. Available from: https://submit-etda.libraries.psu.edu/catalog/15750

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


Penn State University

17. Tuarob, Suppawong. Information Extraction and Metadata Annotation for Algorithms in Digital Libraries.

Degree: 2015, Penn State University

 Algorithms are developed in computer science and related disciplines to provide concise step-by-step instructions for solving particular problems. For example, Dijkstra's algorithm was developed by… (more)

Subjects/Keywords: Algorithms; Search Engine; Machine Learning; Classification

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tuarob, S. (2015). Information Extraction and Metadata Annotation for Algorithms in Digital Libraries. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/24966

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):

Tuarob, Suppawong. “Information Extraction and Metadata Annotation for Algorithms in Digital Libraries.” 2015. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/24966.

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

MLA Handbook (7th Edition):

Tuarob, Suppawong. “Information Extraction and Metadata Annotation for Algorithms in Digital Libraries.” 2015. Web. 29 Nov 2020.

Vancouver:

Tuarob S. Information Extraction and Metadata Annotation for Algorithms in Digital Libraries. [Internet] [Thesis]. Penn State University; 2015. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/24966.

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

Council of Science Editors:

Tuarob S. Information Extraction and Metadata Annotation for Algorithms in Digital Libraries. [Thesis]. Penn State University; 2015. Available from: https://submit-etda.libraries.psu.edu/catalog/24966

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


Penn State University

18. Ganta, Srivatsava Ranjit. Fusion-Aware Privacy and Warehousing for Healthcare Databases .

Degree: 2009, Penn State University

 In the current information era, data is being generated at an alarming rate. The healthcare domain is no exception. Healthcare organizations collect and maintain data… (more)

Subjects/Keywords: Information Fusion; Anonymization; Privacy; Auxiliary Information

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Ganta, S. R. (2009). Fusion-Aware Privacy and Warehousing for Healthcare Databases . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9212

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):

Ganta, Srivatsava Ranjit. “Fusion-Aware Privacy and Warehousing for Healthcare Databases .” 2009. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/9212.

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

MLA Handbook (7th Edition):

Ganta, Srivatsava Ranjit. “Fusion-Aware Privacy and Warehousing for Healthcare Databases .” 2009. Web. 29 Nov 2020.

Vancouver:

Ganta SR. Fusion-Aware Privacy and Warehousing for Healthcare Databases . [Internet] [Thesis]. Penn State University; 2009. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/9212.

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

Council of Science Editors:

Ganta SR. Fusion-Aware Privacy and Warehousing for Healthcare Databases . [Thesis]. Penn State University; 2009. Available from: https://submit-etda.libraries.psu.edu/catalog/9212

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


Penn State University

19. Joshi, Dhiraj. Image Analysis and Retrieval by Spatial Models and Information Integration.

Degree: 2008, Penn State University

 The last decade has witnessed an explosion in the production of digital data from all over the world. In comparison, the rate of meaningful information… (more)

Subjects/Keywords: story picturing; image retrieval; statistical modeling

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Joshi, D. (2008). Image Analysis and Retrieval by Spatial Models and Information Integration. (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/7923

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):

Joshi, Dhiraj. “Image Analysis and Retrieval by Spatial Models and Information Integration.” 2008. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/7923.

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

MLA Handbook (7th Edition):

Joshi, Dhiraj. “Image Analysis and Retrieval by Spatial Models and Information Integration.” 2008. Web. 29 Nov 2020.

Vancouver:

Joshi D. Image Analysis and Retrieval by Spatial Models and Information Integration. [Internet] [Thesis]. Penn State University; 2008. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/7923.

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

Council of Science Editors:

Joshi D. Image Analysis and Retrieval by Spatial Models and Information Integration. [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/7923

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


Penn State University

20. Tan, Qingzhao. Designing New Crawling and Indexing Techniques for Web Search Engines .

Degree: 2008, Penn State University

 The World Wide Web is growing and changing at an astonishing rate. Web information systems such as search engines have to keep up with the… (more)

Subjects/Keywords: digital library; information retrieval; incremental crawler; Search engine

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Tan, Q. (2008). Designing New Crawling and Indexing Techniques for Web Search Engines . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/8963

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):

Tan, Qingzhao. “Designing New Crawling and Indexing Techniques for Web Search Engines .” 2008. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/8963.

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

MLA Handbook (7th Edition):

Tan, Qingzhao. “Designing New Crawling and Indexing Techniques for Web Search Engines .” 2008. Web. 29 Nov 2020.

Vancouver:

Tan Q. Designing New Crawling and Indexing Techniques for Web Search Engines . [Internet] [Thesis]. Penn State University; 2008. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/8963.

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

Council of Science Editors:

Tan Q. Designing New Crawling and Indexing Techniques for Web Search Engines . [Thesis]. Penn State University; 2008. Available from: https://submit-etda.libraries.psu.edu/catalog/8963

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


Penn State University

21. Datta, Ritendra. Semantics and Aesthetics Inference for Image Search: Statistical Learning Approaches .

Degree: 2009, Penn State University

 The automatic inference of image semantics is an important but highly challenging research problem whose solutions can greatly benefit content-based image search and automatic image… (more)

Subjects/Keywords: image aesthetics; automatic annotation; image search; statistical learning

Record DetailsSimilar RecordsGoogle PlusoneFacebookTwitterCiteULikeMendeleyreddit

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

APA (6th Edition):

Datta, R. (2009). Semantics and Aesthetics Inference for Image Search: Statistical Learning Approaches . (Thesis). Penn State University. Retrieved from https://submit-etda.libraries.psu.edu/catalog/9360

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):

Datta, Ritendra. “Semantics and Aesthetics Inference for Image Search: Statistical Learning Approaches .” 2009. Thesis, Penn State University. Accessed November 29, 2020. https://submit-etda.libraries.psu.edu/catalog/9360.

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

MLA Handbook (7th Edition):

Datta, Ritendra. “Semantics and Aesthetics Inference for Image Search: Statistical Learning Approaches .” 2009. Web. 29 Nov 2020.

Vancouver:

Datta R. Semantics and Aesthetics Inference for Image Search: Statistical Learning Approaches . [Internet] [Thesis]. Penn State University; 2009. [cited 2020 Nov 29]. Available from: https://submit-etda.libraries.psu.edu/catalog/9360.

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

Council of Science Editors:

Datta R. Semantics and Aesthetics Inference for Image Search: Statistical Learning Approaches . [Thesis]. Penn State University; 2009. Available from: https://submit-etda.libraries.psu.edu/catalog/9360

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

.