"Low-Rank Models in Visual Analysis" - similar Books and Chapters

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Book	Author(s)	Year	Publisher
Low-Rank Models in Visual Analysis	Zhouchen Lin and Hongyang Zhang	2018	Academic Press
Low-Rank and Sparse Modeling for Visual Analysis	Yun Fu	2014	Springer International Publishing
Optimization on Low Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	1997	Springer US
Low Rank Approximation: Algorithms, Implementation, Applications	Ivan Markovsky	2012	Springer London
Low-Rank Approximation: Algorithms, Implementation, Applications	Ivan Markovsky	2nd ed. 2019	Springer International Publishing
Automorphic Representations of Low Rank Groups	Yuval Z. Flicker	2006	World Scientific
Low-dimensional Sigma Models,	W. J. Zakrzewski	1989	CRC Press
Models in Spatial Analysis	Lena Sanders	2007	John Wiley & Sons
Visual analysis	Leo Manas	2009	Optometric Extension Program Foundation
Low Rank Representations and Graphs for Sporadic Groups	Cheryl E. Praeger; Leonard H. Soicher	1996-12	Cambridge University Press
Deep Learning Through Sparse and Low-Rank Modeling	Thomas Huang; Yun Fu andZhangyang Wang	2019	Academic Press
Analysis of rank distributions in a university faculty	Norman H. Branchflower	1970	Naval Postgraduate School
Low-Rank Coal Applications in Agriculture - Humic Analyses, Products, and Performance	L. Edwin Liem	2021	John Wiley & Sons
Frailty Models in Survival Analysis	Andreas Wienke	2010	Routledge
Mathematical Models in Portfolio Analysis	Farida Kachapova	2013	Bookboon.com
Entropy models in spatial analysis	Russell Lee	1974	University of Toronto, Dept. of Geography
Investigation of rank in coal by differential thermal analysis	H. D. Glass	1954
Visual Complex Analysis	Tristan Needham	1997	OUP
Visual Complex Analysis	Tristan Needham	1997	Clarendon Press • Oxford
Visual Complex Analysis	Tristan Needham	1997	Oxford University Press
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Chapter	Author(s)	Book	Book Authors	Year	Publisher
Generalized Low Rank Models	Brad Boehmke; Brandon Greenwell	Hands-On Machine Learning with R	Brad Boehmke; Brandon M. Greenwell	2019	Routledge
134 Low-rank matrix models		Compressed Sensing: Theory and Applications	Kutyniok, Gitta Eldar, Yonina C.	2012	Cambridge University Press
Chapter 4: Sparse and Low-Rank Models for Visual DomainAdaptation		Pattern recognition and big data	Pal, Amita(Editor); Pal, Sankar Kumar	2017	World Scientific Publishing Company
Low-Rank Constrained Linear Discriminant Analysis	Shuxian Yi; Caikou Chen; Juanjuan Cui	Biometric Recognition: 8th Chinese Conference, CCBR 2013, Jinan, China, November 16-17, 2013, Proceedings	Zhenan Sun; Gongping Yang; Jie Zhou; Yunhong Wang; Yilong Yin	2013	Springer International Publishing
Low-Rank Sparse Learning for Robust Visual Tracking	Tianzhu Zhang; Bernard Ghanem; Si Liu; Narendra Ahuja	Computer Vision – ECCV 2012: 12th European Conference on Computer Vision, Florence, Italy, October 7-13, 2012. Proceedings, Part VI	Andrew Fitzgibbon; Svetlana Lazebnik; Pietro Perona; Yoichi Sato; Cordelia Schmid	2012	Springer Berlin Heidelberg
Visual Salience Learning via Low Rank Matrix Recovery	Junxia Li; Jundi Ding; Jian Yang	Computer Vision -- ACCV 2014: 12th Asian Conference on Computer Vision, Singapore, Singapore, November 1-5, 2014, Revised Selected Papers, Part III	Daniel Cremers; Ian Reid; Hideo Saito; Ming-Hsuan Yang	2015	Springer International Publishing
Low-Rank Dynamics	Christian Lubich	Extraction of Quantifiable Information from Complex Systems	Stephan Dahlke; Wolfgang Dahmen; Michael Griebel; Wolfgang Hackbusch; Klaus Ritter; Reinhold Schneider; Christoph Schwab; Harry Yserentant	2014	Springer International Publishing
Low-Rank Approximations		Numerical Linear Algebra	Lloyd N. Trefethen, David Bau III	1997	Society for Industrial and Applied Mathematics
Low-Rank Factorization		Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications	Chip Huyen	2022	O'Reilly Media
Low Rank Approximations	David Forsyth	Applied Machine Learning	David Forsyth	1st ed. 2019	Springer International Publishing
Low Rank Approximation		LAFF - Linear Algebra: Foundations to Frontiers	Robert van de Geijn, Maggie Myers	2014
Low-Rank Coal		Low-Rank Coal Applications in Agriculture - Humic Analyses, Products, and Performance	L. Edwin Liem	2021	John Wiley & Sons
Sparse and low-rank models for visual domain adaptation / R Chellappa and VM Patel		Pattern Recognition and Big Data	Amita Pal, Sankar K Pal	2017	World Scientific Publishing Co
Forms of Low Rank	Max-Albert Knus	Quadratic and Hermitian Forms over Rings	Max-Albert Knus	1991	Springer Berlin Heidelberg
Robust Low Rank Trajectories	Joel Gibson; Oge Marques	Optical Flow and Trajectory Estimation Methods	Joel Gibson; Oge Marques	1st ed. 2016	Springer International Publishing
Low-Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	Optimization on Low Rank Nonconvex Structures	Hiroshi Konno; Phan Thien Thach; Hoang Tuy	1997	Springer US
Latent Low-Rank Representation	Guangcan Liu; Shuicheng Yan	Low-Rank and Sparse Modeling for Visual Analysis	Yun Fu	2014	Springer International Publishing
Scalable Low-Rank Representation	Guangcan Liu; Shuicheng Yan	Low-Rank and Sparse Modeling for Visual Analysis	Yun Fu	2014	Springer International Publishing
Low-Rank Transfer Learning	Ming Shao; Dmitry Kit; Yun Fu	Low-Rank and Sparse Modeling for Visual Analysis	Yun Fu	2014	Springer International Publishing
Low-Rank Outlier Detection	Sheng Li; Ming Shao; Yun Fu	Low-Rank and Sparse Modeling for Visual Analysis	Yun Fu	2014	Springer International Publishing
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries