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Subject: Computer science.

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SpringerLink (Online service)

(6)

Massachusetts Institute of Technology. degree granting institution.

(3)

Purdue University. Electrical and Computer Engineering. degree granting institution.

(2)

Rutgers The State University of New Jersey, School of Graduate Studies. Computer Science. degree granting institution.

(2)

The University of North Carolina at Chapel Hill. Computer Science. degree granting institution.

(2)

The University of Texas at Arlington. Computer Science and Engineering. degree granting institution.

(2)

University of California, Los Angeles. Computer Science 0201. degree granting institution.

(2)

University of Glasgow (United Kingdom). Department of Computing Science. degree granting institution.

(2)

University of Missouri - Kansas City. Computer Science. degree granting institution.

(2)

Yovits, M. C. (Marshall Clinton)

(2)

Ahmad, Ayesha, author.

(1)

Albishri, Ahmed Awad H., author.

(1)

Balasalle, James, author.

(1)

Boukhris, Sabrine, author.

(1)

Boyling, Timothy A., author.

(1)

Brecher, Christian. editor.

(1)

Brugnot, Sylvain, author.

(1)

California State University, Los Angeles. Computer Science. degree granting institution.

(1)

Calise, Fulvio. editor.

(1)

Casciola, Luciano. editor.

(1)

Cerquitelli, Tania. editor.

(1)

Choi, Chiho, author.

(1)

Cifuentes, Diego, author.

(1)

Cipriano, Raffaele, author.

(1)

Colorado School of Mines. Electrical Engineering and Computer Sciences. degree granting institution.

(1)

Cornell University. Computer Science. degree granting institution.

(1)

Coughlin, Michael, author. (orcid)0000-0002-6619-7585

(1)

Du, Pengyuan, author.

(1)

Du, Xianzhi, author.

(1)

Elbeleidy, Saad, author.

(1)

(1)

George Mason University. Civil Engineering. degree granting institution.

(1)

Hau, Darren, author.

(1)

Hayashi, Koby B., author.

(1)

Hong Kong University of Science and Technology (Hong Kong). Computer Science and Engineering. degree granting institution.

(1)

Huang, Xiao Bing, author. (orcid)0000-0002-1198-9526

(1)

Jadhav, Shrikant Shridhar, author.

(1)

Jeschke, Sabina. editor.

(1)

Kao, Chia-Yu, author.

(1)

Khaloo, Ali, author.

(1)

Kitano, Hiroaki, 1961-

(1)

Kourtev, Hristiyan, author.

(1)

Kraft, Adam Davis, author.

(1)

Lee, Chris S., author.

(1)

Meyer, Benjamin. author.

(1)

Minaee, Shervin, author.

(1)

Mohamad, Mustafa, author.

(1)

Nayak, Anil Kumar, author.

(1)

New York University Tandon School of Engineering. Electrical and Computer Engineering. degree granting institution.

(1)

North Carolina Agricultural and Technical State University. Electrical Engineering. degree granting institution.

(1)

Pasquale, Frank. editor.

(1)

Peng, Xi, author.

(1)

Pianykh, Oleg S.

(1)

Princeton University. Computer Science. degree granting institution.

(1)

Purdue University. Computer Graphics Technology. degree granting institution.

(1)

Qi, Hang, author.

(1)

Queen's University (Canada). degree granting institution.

(1)

Quercia, Daniele. editor.

(1)

Rawat, Danda B. editor.

(1)

Schaefer, Dirk. editor.

(1)

Song, Houbing. editor.

(1)

Spatz, Bruce M.

(1)

Suttner, Christian B.

(1)

Syracuse University. Electrical Engineering and Computer Science. degree granting institution.

(1)

Thames, Lane. editor.

(1)

The Pennsylvania State University. Computer Science and Engineering. degree granting institution.

(1)

The University of Manchester (United Kingdom). degree granting institution.

(1)

The University of Wisconsin - Milwaukee. Computer Science. degree granting institution.

(1)

Tiwari, Astha, author.

(1)

Universite du Quebec a Chicoutimi (Canada). Informatique et mathématique. degree granting institution.

(1)

University of Colorado at Boulder. Computer Science. degree granting institution.

(1)

University of Colorado at Boulder. Electrical Engineering. degree granting institution.

(1)

University of Kansas. Music. degree granting institution.

(1)

University of Maryland, College Park. Electrical Engineering. degree granting institution.

(1)

University of Washington. Computer Science and Engineering. degree granting institution.

(1)

Utah State University. Computer Science. degree granting institution.

(1)

Veit, Andreas, author.

(1)

Villalon, Rachelle B., author.

(1)

Vundela, Karthik Reddy, author.

(1)

Wake Forest University. Computer Science. degree granting institution.

(1)

Wang, De, author.

(1)

Wang, Haiyan, author.

(1)

Wang, Ke, author.

(1)

Wei, Ying, author.

(1)

Wen, Haiguang, author.

(1)

Wilkes, M. V. (Maurice Vincent)

(1)

Xie, Junyuan, author.

(1)

Zelkowitz, Marvin V., 1945-

(1)

Zhang, Haoyu, author.

(1)

Zhao, Zheng, author.

(1)

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(1)

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(1)

(1)

(1)

Subject

(39)

Electrical engineering.

(8)

(6)

Computer engineering.

(6)

(5)

Artificial intelligence.

(5)

Electronic books.

(5)

(4)

COMPUTERS -- Computer Literacy.

(4)

COMPUTERS -- Computer Science.

(4)

COMPUTERS -- Data Processing.

(4)

COMPUTERS -- Hardware -- General.

(4)

COMPUTERS -- Information Technology.

(4)

COMPUTERS -- Machine Theory.

(4)

COMPUTERS -- Reference.

(4)

(4)

Electronic data processing.

(4)

(2)

Applied mathematics.

(2)

Communications Engineering, Networks.

(2)

Computer simulation.

(2)

Economic policy.

(2)

Medicine & Public Health.

(2)

(2)

R & D/Technology Policy.

(2)

Simulation and Modeling.

(2)

(1)

(1)

(1)

(1)

(1)

(1)

(1)

(1)

(1)

Algorithm Analysis and Problem Complexity.

(1)

(1)

(1)

BIOMEDICAL DATA.

(1)

Big Data/Analytics.

(1)

(1)

Biomedical engineering.

(1)

(1)

COMPUTER VISION.

(1)

Cancer Research.

(1)

Civil engineering.

(1)

Cognitive psychology.

(1)

Complexity, Computational.

(1)

(1)

Computer Applications.

(1)

Computer Imaging, Vision, Pattern Recognition and Graphics.

(1)

Computer Systems Organization and Communication Networks.

(1)

Computer crimes.

(1)

Computer graphics.

(1)

Computer network architectures.

(1)

Computer science

(1)

Computer security.

(1)

Computer vision.

(1)

(1)

DATA PROCESSING.

(1)

(1)

DATA STRUCTURES.

(1)

Data Mining and Knowledge Discovery.

(1)

(1)

Data processing.

(1)

(1)

Electronic book.

(1)

(1)

General Surgery.

(1)

Health Informatics.

(1)

Imaging / Radiology.

(1)

Industrial and Production Engineering.

(1)

Industrial engineering.

(1)

Industrial management.

(1)

Information Systems Applications (incl. Internet).

(1)

Information Systems and Communication Service.

(1)

Information science.

(1)

Information systems.

(1)

Innovation/Technology Management.

(1)

Intellectual property -- Law and legislation.

(1)

International IT and Media Law, Intellectual Property Law.

(1)

International law.

(1)

Life Sciences, general.

(1)

(1)

(1)

Management information systems.

(1)

Management of Computing and Information Systems.

(1)

(1)

Manufacturing industries.

(1)

Manufacturing, Machines, Tools.

(1)

Mathematics of Computing.

(1)

Medical records -- Data processing.

(1)

Microcomputers.

(1)

(1)

(1)

Parallel processing (Electronic computers)

(1)

Performing arts education.

(1)

(1)

Production engineering.

(1)

Radiology, Medical.

(1)

Remote sensing.

(1)

(1)

SUPERCOMPUTERS.

(1)

(1)

Systems and Data Security.

(1)

(1)

User Interfaces and Human Computer Interaction.

(1)

User interfaces (Computer systems).

(1)

Library

Başkent Library

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Elsevier E-Book Collections

Proquest E-Thesis Collection

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Cover image for Face Detection and Recognition Using Moving Window Accumulator with Various Deep Learning Architecture

Face Detection and Recognition Using Moving Window Accumulator with Various Deep Learning Architecture

25.

Face Detection and Recognition Using Moving Window Accumulator with Various Deep Learning Architecture

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Nayak, Anil Kumar, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10903200

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Excerpt:

Recent advancement in the field of Computer Vision and Deep Learning is making object detection and

Cover image for Converting Data from Multi-Instance to Single-Instance Representations Using p-Order Laplacian Projections

Converting Data from Multi-Instance to Single-Instance Representations Using p-Order Laplacian Projections

26.

Converting Data from Multi-Instance to Single-Instance Representations Using p-Order Laplacian Projections

by

Elbeleidy, Saad, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10822612

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Excerpt:

Fields such as Computer Vision and Natural Language Processing have a high applicability of Machine

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Deep Learning for Semi-Automated Brain Claustrum Segmentation on Magnetic Resonance (MR) Images

27.

Deep Learning for Semi-Automated Brain Claustrum Segmentation on Magnetic Resonance (MR) Images

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Albishri, Ahmed Awad H., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10824044

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such as computer vision and speech recognition. Specifically, DL demonstrated the state-of-the-art in

Cover image for Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and WiFi Data

Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and WiFi Data

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Data Mining, Inference, and Predictive Analytics for the Built Environment with Images, Text, and WiFi Data

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Villalon, Rachelle B., author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10902908

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/real-time using computer vision, machine learning, and statistical modeling techniques. The software

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Cybersecurity for Industry 4.0 Analysis for Design and Manufacturing

29.

Cybersecurity for Industry 4.0 Analysis for Design and Manufacturing

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Thames, Lane. editor.

http://dx.doi.org/10.1007/978-3-319-50660-9

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Excerpt:

vision. It covers the technological foundations of cybersecurity within the scope of the Industry 4.0

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Transparent Data Mining for Big and Small Data

30.

Transparent Data Mining for Big and Small Data

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http://dx.doi.org/10.1007/978-3-319-54024-5

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-- Chapter 6: Visualizations of Deep Neural Networks in Computer Vision: A Survey -- Part III: Regulatory

Cover image for Learning Hierarchical Speech Representations Using Deep Convolutional Neural Networks

Learning Hierarchical Speech Representations Using Deep Convolutional Neural Networks

31.

Learning Hierarchical Speech Representations Using Deep Convolutional Neural Networks

by

Hau, Darren, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10820103

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learn hierarchical feature representations on vision tasks. As many vision tasks have an auditory

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Parallel processing for artificial intelligence 3

32.

Parallel processing for artificial intelligence 3

by

Geller, James.

ScienceDirect https://www.sciencedirect.com/science/book/9780444824868
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, parallel decision trees, parallel programming languages and low-level computer vision. The final paper is

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Resource Management for Advanced Data Analytics at Large Scale

33.

Resource Management for Advanced Data Analytics at Large Scale

by

Zhang, Haoyu, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10823767

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vision queries, and its online scheduler allocates resources to maximize performance in terms of vision

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A Joint Parsing System for Visual Scene Understanding

34.

A Joint Parsing System for Visual Scene Understanding

by

Qi, Hang, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10825719

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concept grounding. The goal is to build a scalable computer vision system that leverages the advancement

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Interactive Concert Programs Software for Enhancing Live Performances

35.

Interactive Concert Programs Software for Enhancing Live Performances

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Cipriano, Raffaele, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10829397

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room, providing a new effective way for artists to tell the audience their artistic vision and the

Cover image for New algorithms for 3D registration using raw point techniques

New algorithms for 3D registration using raw point techniques

36.

New algorithms for 3D registration using raw point techniques

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Mohamad, Mustafa, author.

http://gateway.proquest.com/openurl?url_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:dissertation&res_dat=xri:pqm&rft_dat=xri:pqdiss:10857297

Format:

Excerpt:

Registration of two 3D point clouds is a problem encountered in many domains in 3D computer vision

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