"A Sparse Object Category Model for Efficient Learning and Complete Recognition"

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Book	Author(s)	Year	Publisher
Toward Category-Level Object Recognition	Jean Ponce; Martial Hebert; Cordelia Schmid; Andrew Zisserman	2006	Springer Berlin Heidelberg
Automatic model builder for object recognition.	C. Marc Bastuscheck	1987	Courant Institute of Mathematical Sciences, New York University
A model of memory, learning and recognition	Bruce Hoeneisen	2002	USFQ
Deep Learning in Object Detection and Recognition	Xiaoyue Jiang; Abdenour Hadid; Yanwei Pang; Eric Granger; Xiaoyi Feng	1st ed. 2019	Springer Nature Singapore
Object Recognition	Tam Phuong Cao	2011-04-01	IntechOpen
Sparse Representation, Modeling and Learning in Visual Recognition: Theory, Algorithms and Applications	Hong Cheng	2015	Springer London
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
Integrating Graphics and Vision for Object Recognition	Mark R. Stevens; J. Ross Beveridge	2001	Springer US
Visual Object Recognition	Kristen Grauman; Bastian Leibe		Springer International Publishing
Visual object recognition	Kristen Lorraine Grauman	2011	Morgan & Claypool
Natural object recognition	Thomas M. Strat	1992	Springer-Verlag
Natural Object Recognition	Thomas M. Strat	1992	Springer New York
Fast learning and invariant object recognition: the sixth-generation breakthrough	Branko Souček	1992	Wiley
Object Recognition, Attention, and Action	Naoyuki Osaka; Ingo Rentschler; Irving Biederman	2007	Springer Japan
Tool and Object: A History and Philosophy of Category Theory	Ralph Krömer	2007	Birkhäuser Basel
Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
Efficient motion planning for an L-shaped object	D. Halperin	1988	Courant Institute of Mathematical Sciences, New York University
Object Recognition: Fundamentals and Case Studies	M. Bennamoun; G.J. Mamic	2002	Springer London
Perception and Cognition: Analyzing Object Recognition	Ulrike Pompe	2011-07-01	Brill
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Showing 1 to 20 of 100 entries

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Chapter	Author(s)	Book	Book Authors	Year	Publisher
A Sparse Object Category Model for Efficient Learning and Complete Recognition	Rob Fergus; Pietro Perona; Andrew Zisserman	Toward Category-Level Object Recognition	Jean Ponce; Martial Hebert; Cordelia Schmid; Andrew Zisserman	2006	Springer Berlin Heidelberg
Efficient Object Category Recognition Using Classemes	Lorenzo Torresani; Martin Szummer; Andrew Fitzgibbon	Computer Vision -- ECCV 2010: 11th European Conference on Computer Vision, Heraklion, Crete, Greece, September 5-11, 2010, Proceedings, Part I	Kostas Daniilidis; Petros Maragos; Nikos Paragios	2010	Springer Berlin Heidelberg
A Multimodal Constellation Model for Object Category Recognition	Yasunori Kamiya; Tomokazu Takahashi; Ichiro Ide; Hiroshi Murase	Advances in Multimedia Modeling: 15th International Multimedia Modeling Conference, MMM 2009, Sophia-Antipolis, France, January 7-9, 2009. Proceedings.	Benoit Huet; Alan Smeaton; Ketan Mayer-Patel; Yannis Avrithis	2009	Springer Berlin Heidelberg
Sparse Representations and Distance Learning for Attribute Based Category Recognition	Grigorios Tsagkatakis; Andreas Savakis	Trends and Topics in Computer Vision: ECCV 2010 Workshops, Heraklion, Crete, Greece, September 10-11, 2010, Revised Selected Papers, Part I	Kiriakos N. Kutulakos	2012	Springer Berlin Heidelberg
Unsupervised Internet-Based Category Learning for Object Recognition	Mário Antunes; Luís Seabra Lopes	Image Analysis and Recognition: 10th International Conference, ICIAR, Aveiro, Portugal, June 26-28, 2013, Proceedings	Mohamed Kamel; Aurelio Campilho	2013	Springer Berlin Heidelberg
Learning a Sparse Representation for Object Detection	Shivani Agarwal; Dan Roth	Computer Vision - ECCV 2002: 7th European Conference on Computer Vision, Copenhagen, Denmark, May 28-31, 2002. Proceedings. Part IV	Anders Heyden; Gunnar Sparr; Mads Nielsen; Peter Johansen	2002	Springer Berlin Heidelberg
Efficient Highly Over-Complete Sparse Coding Using a Mixture Model	Jianchao Yang; Kai Yu; Thomas Huang	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
Sparse Representation-based Object Recognition	Vishal M. Patel; Rama Chellappa	Sparse Representations and Compressive Sensing for Imaging and Vision	Vishal M. Patel; Rama Chellappa	2013	Springer New York
Efficient ConvNet for Surface Object Recognition	Wei Lin; Quan Chen; Xianzhi Qi; Bingli Wu; Xue Ke; Dezhao Yang et al.	Intelligent Robotics and Applications: 12th International Conference, ICIRA 2019, Shenyang, China, August 8–11, 2019, Proceedings, Part II	Haibin Yu; Jinguo Liu; Lianqing Liu; Zhaojie Ju; Yuwang Liu; Dalin Zhou	1st ed. 2019	Springer International Publishing
Parallel Deep Learning with Suggestive Activation for Object Category Recognition	Karthik Mahesh Varadarajan; Markus Vincze	Computer Vision Systems: 9th International Conference, ICVS 2013, St. Petersburg, Russia, July 16-18, 2013. Proceedings	Mei Chen; Bastian Leibe; Bernd Neumann	2013	Springer Berlin Heidelberg
Learning Features for Object Recognition	Yingqiang Lin; Bir Bhanu	Genetic and Evolutionary Computation — GECCO 2003: Genetic and Evolutionary Computation Conference Chicago, IL, USA, July 12–16, 2003 Proceedings, Part II	Erick Cantú-Paz; James A. Foster; Kalyanmoy Deb; Lawrence David Davis; Rajkumar Roy; Una-May O'Reilly; Hans-Georg Beyer; Russel Standish; Graham Kendall; Stewart Wilson; Joachim Wegener; Dipankar Dasgupta; Mitchell A. Potter; Alan C. Schultz	2003	Springer Berlin Heidelberg
Deep Learning for Object Recognition		Deep Learning for Computer Vision: Image Classification, Object Detection, and Face Recognition in Python	Jason Brownlee	2019	Independently Published
A Simplified Visual Cortex Model for Efficient Image Codding and Object Recognition	Rafał Kozik	Image Processing and Communications Challenges 5	Ryszard S. Choraś	2014	Springer International Publishing
Learning a Sparse Representation for Robust Face Recognition	Weihua Ou; Xinge You; Pengyue Zhang; Xiubao Jiang; Ziqi Zhu; Duanquan Xu	Neural Information Processing: 20th International Conference, ICONIP 2013, Daegu, Korea, November 3-7, 2013. Proceedings, Part III	Minho Lee; Akira Hirose; Zeng-Guang Hou; Rhee Man Kil	2013	Springer Berlin Heidelberg
Over-Complete Sparse Coding for Action Similarity Recognition	Qinjun Xu; Lin Zhou; Zhenyang Wu	Advances in Intelligent Automation and Soft Computing	Xiaolong Li	1st ed. 2022	Springer International Publishing
Efficient and Numerically Stable Sparse Learning	Sihong Xie; Wei Fan; Olivier Verscheure; Jiangtao Ren	Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III	José L. Balcázar; Francesco Bonchi; Aristides Gionis; Michèle Sebag	2010	Springer Berlin Heidelberg
Learning of Graphical Models and Efficient Inference for Object Class Recognition	Martin Bergtholdt; Jörg H. Kappes; Christoph Schnörr	Pattern Recognition: 28th DAGM Symposium, Berlin, Germany, September 12-14, 2006, Proceedings	Katrin Franke; Klaus-Robert Müller; Bertram Nickolay; Ralf Schäfer	2006	Springer Berlin Heidelberg
Predictive Approaches for Sparse Model Learning	S. K. Shevade; S. Sundararajan; S. S. Keerthi	Neural Information Processing: 11th International Conference, ICONIP 2004 Calcutta, India, November 22–25, 2004 Proceedings	Nikil R. Pal; Nikola Kasabov; Rajani K. Mudi; Srimanta Pal; Swapan K. Parui	2004	Springer Berlin Heidelberg
Adaptive Gabor Wavelet for Efficient Object Recognition	In Ja Jeon; Mi Young Nam; Phill Kyu Rhee	Knowledge-Based Intelligent Information and Engineering Systems: 9th International Conference, KES 2005, Melbourne, Australia, September 14-16, 2005, Proceedings, Part II	Rajiv Khosla	2005	Springer Berlin Heidelberg
Ensemble Learning for Object Recognition and Tracking	Mehrtash Harandi; Javid Taheri; Brian C. Lovell	Pattern Recognition, Machine Intelligence and Biometrics	Patrick S. P. Wang	2011	Springer Berlin Heidelberg
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Showing 1 to 20 of 100 entries

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