"Active Structured Learning for High-Speed Object Detection"

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Book	Author(s)	Year	Publisher
Deep Learning in Object Detection and Recognition	Xiaoyue Jiang; Abdenour Hadid; Yanwei Pang; Eric Granger; Xiaoyi Feng	1st ed. 2019	Springer Nature Singapore
An optical object detection system for sensing obstructions to low speed vehicles	George Alfred Burman	1972	Naval Postgraduate School
High-speed Boats (Need for Speed)	Simon Barnhaft	July 27, 2000	Franklin Watts Ltd
High Speed Trains (Need for Speed)	Christopher Maynard	March 2002	First Avenue Editions
Detection and Estimation Research of High-speed Railway Catenary	Zhigang Liu	1st ed. 2017	Springer Nature Singapore
Similarity counting architecture for object detection	Chin-Hwa Lee	1986	Naval Postgraduate School
Tools For Structured and Object-Oriented Design	Marilyn Bohl, Maria Rynn	2007	Pearson
High-Speed Boats: The Need for Speed	Simon Bornhoft	September 1999	LernerSports
Stein-shorthand manual. : High-speed shorthand for high-speed transcribing. . .	Henry Forester	1919	Stein-shorthand
Workshops for Active Learning	John F. Parker	September 1990	Jfp Productions
Active learning for twos	Debby Cryer	1988	Addison-Wesley Pub. Co.
Active Learning for Fives	Debby Cryer	November 1995	Addison Wesley Publishing Company
Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection	Umberto Michelucci	1st ed.	Apress
Range Finding, Object Detection and Object Avoidance	Gary Hallberg	2020	North Border Tech Training
Geometric Constraints for Object Detection and Delineation	Jefferey Shufelt	2000	Springer US
High-speed.	Rotondi, Thomas,
Read! Move! Learn!: active stories for active learning	Carol Totsky Hammett	2007	Gryphon House, Inc.
Get Active!: Active Teaching Ideas for Lifetime Learning	Kurt Bickel	December 1997	Concordia Publishing House
Active Learning	Burr Settles		Springer International Publishing
Active learning	Burr Settles	2012	Morgan & Claypool
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Active Structured Learning for High-Speed Object Detection	Christoph H. Lampert; Jan Peters	Pattern Recognition: 31st DAGM Symposium, Jena, Germany, September 9-11, 2009, Proceedings	Joachim Denzler; Gunther Notni; Herbert Süße	2009	Springer Berlin Heidelberg
614 Active transfer learning for object detection		Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI	Robert (Munro) Monarch	2021	Manning Publications
Localization-Aware Active Learning for Object Detection	Chieh-Chi Kao; Teng-Yok Lee; Pradeep Sen; Ming-Yu Liu	Computer Vision – ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part VI	C.V. Jawahar; Hongdong Li; Greg Mori; Konrad Schindler	1st ed. 2019	Springer International Publishing
61 Applying active learning to object detection		Human-in-the-Loop Machine Learning: Active learning and annotation for human-centered AI	Robert (Munro) Monarch	2021	Manning Publications
Occlusion Detection via Structured Sparse Learning for Robust Object Tracking	Tianzhu Zhang; Bernard Ghanem; Changsheng Xu; Narendra Ahuja	Computer Vision in Sports	Thomas B. Moeslund; Graham Thomas; Adrian Hilton	2014	Springer International Publishing
Active Mask Hierarchies for Object Detection	Yuanhao Chen; Long (Leo) Zhu; Alan Yuille	Computer Vision -- ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part V	Kostas Daniilidis; Petros Maragos; Nikos Paragios	2010	Springer Berlin Heidelberg
Machine learning for object detection	Zuo Xiang; Renbing Zhang; Patrick Seeling	Computing in Communication Networks	Fabrizio Granelli; Frank Fitzek andPatrick Seeling	2020	Academic Press
Active Metric Learning for Object Recognition	Sandra Ebert; Mario Fritz; Bernt Schiele	Pattern Recognition: Joint 34th DAGM and 36th OAGM Symposium, Graz, Austria, August 28-31, 2012, Proceedings	Axel Pinz; Thomas Pock; Horst Bischof; Franz Leberl	2012	Springer Berlin Heidelberg
Active learning in structured lectures	Alan Jenkins	Teaching Large Classes in Higher Education: How to Maintain Quality with Reduced Resources	Gibbs, Graham; Jenkins, Alan	1992	Routledge
Active Learning for Network Intrusion Detection	Amir Ziai	Data Science: Theory, Algorithms, and Applications	Gyanendra K. Verma; Badal Soni; Salah Bourennane; Alexandre C. B. Ramos	1st ed. 2021	Springer Nature Singapore
Detection of Circular Object with a High Speed Algorithm	Adel A. Sewisy	Intelligent Problem Solving. Methodologies and Approaches: 13th International Conference on Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, IEA/AIE 2000 New Orleans, Louisiana, USA, June 19-22, 2000 Proceedings	Rasiah Logananthara; Günther Palm; Moonis Ali	2000	Springer Berlin Heidelberg
Learning Statistical Structure for Object Detection	Henry Schneiderman	Computer Analysis of Images and Patterns: 10th International Conference, CAIP 2003, Groningen, The Netherlands, August 25-27, 2003, Proceedings	Nicolai Petkov; Michel A. Westenberg	2003	Springer Berlin Heidelberg
Continual Learning for SAR Object Detection	Xiaoran Zhao; He Cheng; Sangzhou Xia; Xiangli Nie	Proceedings of 2022 10th China Conference on Command and Control	Chinese Institute Chinese Institute of Command and Control	1st ed. 2022	Springer Nature Singapore
67 Deep learning for object detection		Computer Vision and Recognition Systems Using Machine and Deep Learning Approaches: Fundamentals, Technologies and Applications	Chiranji Lal Chowdhary (editor), Mamoun Alazab (editor), Ankit Chaudhary (editor), Saqib Hakak (editor), G. Thippa Reddy (editor)	2021	The Institution of Engineering and Technology
Deep learning for Scalable Object Detection		Deep Learning with TensorFlow: Explore Neural Networks with Python	Giancarlo Zaccone; Md. Rezaul Karim; Ahmed Menshawy	2017	Packt Publishing
Deep learning for Scalable Object Detection		Deep Learning with Tensorflow	Zaccone, Giancarlo; Karim, Mohammad Rezaul; Menshawy, Ahmed	2017	Packt Publishing
Reinforcement Learning for Improving Object Detection	Siddharth Nayak; Balaraman Ravindran	Computer Vision – ECCV 2020 Workshops: Glasgow, UK, August 23–28, 2020, Proceedings, Part V	Adrien Bartoli; Andrea Fusiello	1st ed. 2020	Springer International Publishing
Deep Learning for Combo Object Detection	Jing Zhao; Iman Tabatabaei Ardekani; Shaoning Pang	Neural Information Processing: 26th International Conference, ICONIP 2019, Sydney, NSW, Australia, December 12–15, 2019, Proceedings, Part I	Tom Gedeon; Kok Wai Wong; Minho Lee	1st ed. 2019	Springer International Publishing
Learning Region Features for Object Detection	Jiayuan Gu; Han Hu; Liwei Wang; Yichen Wei; Jifeng Dai	Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part XII	Vittorio Ferrari; Martial Hebert; Cristian Sminchisescu; Yair Weiss	1st ed. 2018	Springer International Publishing
Multiple Component Learning for Object Detection	Piotr Dollár; Boris Babenko; Serge Belongie; Pietro Perona; Zhuowen Tu	Computer Vision - ECCV 2008: 10th European Conference on Computer Vision, Marseille, France, October 12-18, 2008. Proceedings, Part II	David Forsyth; Philip Torr; Andrew Zisserman	2008	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

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