"2D object detection and recognition: models, algorithms, and networks /"

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Book	Author(s)	Year	Publisher
2D Object Detection and Recognition: Models, Algorithms, and Networks	Yali Amit	2002	MIT Press
2D Object Detection and Recognition: Models, Algorithms, and Networks	Yali Amit	2002	MIT Press,
2D object detection and recognition: models, algorithms, and networks /	Amit, Yali.	[2002], ©2002.	MIT Press,
Deep Learning in Object Detection and Recognition	Xiaoyue Jiang; Abdenour Hadid; Yanwei Pang; Eric Granger; Xiaoyi Feng	1st ed. 2019	Springer Nature Singapore
Vehicular Networks: Models and Algorithms	Andre-Luc Beylot; Houda Labiod	2013	John Wiley & Sons
Object recognition using 2D sensors and autonomous vehicle navigation issues	Jader Gomes Da Silva Filho	1997	Naval Postgraduate School;Available from National Technical Information Service
Object Detection and Recognition in Digital Images- Theory and Practice	Bogusław Cyganek	2013	John Wiley & Sons
Models and Algorithms for Biomolecules and Molecular Networks	Bhaskar DasGupta; Jie Liang	2016	Wiley-IEEE Press
Mathematics of Neural Networks: Models, Algorithms and Applications	Stephen W. Ellacott; John C. Mason; Iain J. Anderson	1997	Springer US
Object Recognition	Tam Phuong Cao	2011-04-01	IntechOpen
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing	James C. Bezdek; James Keller; Raghu Krisnapuram; Nikhil Pal	1999	Springer US
Fuzzy Models and Algorithms for Pattern Recognition and Image Processing	James C. Bezdek, James Keller, Raghu Krisnapuram, Nikhil Pal	2005	Springer
Fuzzy models and algorithms for pattern recognition and image processing	James C. Bezdek, Raghu Krisnapuram, Nikhil R. Pal	2005	Springer
Object-oriented networks: models for architecture, operations, and management	Subodh Bapat	1994	P T R Prentice Hall
Practical Machine Learning and Image Processing: For Facial Recognition, Object Detection, and Pattern Recognition Using Python	Himanshu Singh	1st ed.	Apress
Object and face recognition	Bruce/Hump	1994	Lawrence Erlbaum Associates
Range Finding, Object Detection and Object Avoidance	Gary Hallberg	2020	North Border Tech Training
Visual Object Recognition	Kristen Grauman; Bastian Leibe		Springer International Publishing
Visual object recognition	Kristen Lorraine Grauman	2011	Morgan & Claypool
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Object Detection Algorithms		Image Processing With LabVIEW And IMAQ Vision			Prentice Hall
Object Detection and Recognition		Encyclopedia of Database Systems	Ling Liu; M. Tamer Özsu	2009	Springer US
Object Detection and Recognition	Sunila Gollapudi	Learn Computer Vision Using OpenCV: With Deep Learning CNNs and RNNs	Sunila Gollapudi	1st ed.	Apress
Object Detection and Recognition	Jana Košecká	Encyclopedia of Robotics	Marcelo H. Ang; Oussama Khatib; Bruno Siciliano	0th ed. 2020	Springer Berlin Heidelberg
Object Detection and Recognition		ROS Programming: Building Powerful Robots	Anil Mahtani et al.	March 2018	Packt Publishing
Object detection versus object recognition		Opencv: Computer Vision Projects with Python	Michael Beyeler; Prateek Joshi; Joseph Howse	2017	Packt Publishing
Object detection versus object recognition		OpenCV with Python by Example	Prateek Joshi	2015	Packt Publishing
Automatic Recognition and Detection Algorithms		Medical Image Recognition, Segmentation and Parsing	Kevin Zhou	2016	Academic Press
Multiple Object Recognition and Detection		Artificial Vision and Language Processing for Robotics: Create end-to-end systems that can power robots with artificial vision and deep learning techniques	Alvaro Morena Alberola, Gonzalo Molina Gallego, Unai Garay Maestre	2019	Packt Publishing
6 Object Detection and Recognition		ROS Robotics Projects: Make your robots see, sense, and interact with cool and engaging projects with Robotic Operating System	Lentin Joseph	2017	Packt Publishing
Analysis of Object Detection Algorithms Using Neural Networks	Anmol Singh Ahluwalia; Anukarsh Sondhi; Shruti Gupta	Proceedings of International Conference on Machine Intelligence and Data Science Applications: MIDAS 2020	Manish Prateek; T. P. Singh; Tanupriya Choudhury; Hari Mohan Pandey; Nguyen Gia Nhu	1st ed. 2021	Springer Nature Singapore
Shape Models and Object Recognition	Jean Ponce; Martha Cepeda; Sung-il Pae; Steve Sullivan	Shape, Contour and Grouping in Computer Vision	David A. Forsyth; Joseph L. Mundy; Vito Gesú; Roberto Cipolla	1999	Springer Berlin Heidelberg
3D Object Repair Using 2D Algorithms	Pavlos Stavrou; Pavlos Mavridis; Georgios Papaioannou; Georgios Passalis; Theoharis Theoharis	Computational Science - ICCS 2006: 6th International Conference, Reading, UK, May 28-31, 2006, Proceedings, Part II	Vassil N. Alexandrov; G. Dick van Albada; Peter M.A. Sloot; J. J. Dongarra	2006	Springer Berlin Heidelberg
Object Detection Combining Recognition and Segmentation	Liming Wang; Jianbo Shi; Gang Song; I-fan Shen	Computer Vision -- ACCV 2007: 8th Asian Conference on Computer Vision, Tokyo, Japan, November 18-22, 2007, Proceedings, Part I	Yasushi Yagi; Sing Bing Kang; In So Kweon; Hongbin Zha	2007	Springer Berlin Heidelberg
Types of Object Detection Algorithms		Deep Learning for Computer Vision with SAS: An Introduction	Robert Blanchard	2020	SAS Institute
Chapter 4 Object detection algorithms		Optics and Artificial Vision	Rafael G. González-Acuña, Hector A. Chaparro-Romo, Israel Melendez-Montoya	2021	IOP Publishing
35 Object detection in 2D images		A primer of wavelets and their Scientific Applications	Walker J.S.	1999
Ear Detection and Recognition in 2D and 3D		Human Ear Recognition by Computer	Bir Bhanu; Hui Chen	2008	Springer London
2d. Object.		An additional word to The body of divinity, or Confession of faith; being the substance of Christianity. Added on special occasion, tending further to confirm some truths therein. With a further discourse about the doctrine of election, universal, and special grace, &c. All which were touched in the said Confession of faith, but in this more plainy and fully (though briefly) discoursed and designed for the good of all. Whereunto is annexed a seasonable word of advice, being an essay for peace and union among all the sons and daughters of peace. / Written by Thomas Collier.	Collier, Thomas, fl. 1691.	1674.	Printed for the author
Adaptive Edge Detection Models and Algorithms	Kirill Smelyakov; Sergiy Smelyakov; Anastasiya Chupryna	Advances in Spatio-Temporal Segmentation of Visual Data	Vladimir Mashtalir; Igor Ruban; Vitaly Levashenko	1st ed. 2020	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

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