"Face Super Resolution by Tangential and Exponential Kernel Weighted Regression Model"

entries per page

Filter:

Showing 1 to 20 of 100 entries

Book	Author(s)	Year	Publisher
Weighted regression analysis and interval estimators.	Donald W. Seegrist	1974
Weighted Littlewood-Paley Theory and Exponential-Square Integrability	Michael Wilson	2008	Springer Berlin Heidelberg
Model-Free Prediction and Regression	Dimitris N. Politis		Springer International Publishing
Super-Resolution Imaging	Subhasis Chaudhuri	2001	Springer US
Super-Resolution Imaging	Peyman Milanfar	2011	Routledge
Kernel Learning Algorithms for Face Recognition	Jun-Bao Li; Shu-Chuan Chu; Jeng-Shyang Pan	2014	Springer New York
Tangential.	Hiebert, Helen,; Euclid.; Hiebert, Helen,; Leech, Tom,
Image Mosaicing and Super-resolution	David Capel	2004	Springer London
Image Super-Resolution and Applications	Fathi E. Abd El-Samie; Mohiy M. Hadhoud; Said E. El-Khamy	2013	Routledge
Plasmonics and Super-Resolution Imaging	Zhaowei Liu	2017	Routledge
Model resolution taxonomy	George H. Vaseghi	1994	Naval Postgraduate School;Available from National Technical Information Service
Motion-Free Super-Resolution	Subhasis Chaudhuri; Joshi Manjunath	2005	Springer US
Example-Based Super Resolution	Jordi Salvador	2017	Academic Press
Expert trading systems: modeling financial markets with kernel regression /	Wolberg, John R.	2000.	Wiley,
Development of regional extreme model atmospheres by regression methods	Donald Anthony Quinn	1973	Naval Postgraduate School
A dynamic inventory model using exponential smoothing	Joseph V. Reilly	1965	Naval Postgraduate School
Super-Resolution Microscopy: Methods and Protocols	Holger Erfle	1st ed. 2017	Springer New York
Super Resolution of Images and Video	Aggelos K. Katsaggelos; Rafael Molina; Javier Mateos		Springer International Publishing
Super resolution of images and video	Aggelos Konstantinos Katsaggelos	2007	Morgan & Claypool Publishers
Label-Free Super-Resolution Microscopy	Vasily Astratov	1st ed. 2019	Springer International Publishing
Boook	Author(s)	Year	Publisher

Showing 1 to 20 of 100 entries

entries per page

Filter:

Showing 1 to 20 of 100 entries

Chapter	Author(s)	Book	Book Authors	Year	Publisher
Face Super Resolution by Tangential and Exponential Kernel Weighted Regression Model	B. Deshmukh Amar; N. Usha Rani	Information and Communication Technology for Intelligent Systems (ICTIS 2017) - Volume 2	Suresh Chandra Satapathy; Amit Joshi	1st ed. 2018	Springer International Publishing
Video Super-Resolution by Adaptive Kernel Regression	Mohammad Moinul Islam; Vijayan K. Asari; Mohammed Nazrul Islam; Mohammad A. Karim	Advances in Visual Computing: 5th International Symposium, ISVC 2009, Las Vegas, NV, USA, November 30 - December 2, 2009, Proceedings, Part II	Richard Boyle; Bahram Parvin; Darko Koracin; Yoshinori Kuno; Junxian Wang; Pajarola Renato; Peter Lindstrom; Andre Hinkenjann; Miguel L. Encarnacao; Claudio T. Silva; Daniel Coming	2009	Springer Berlin Heidelberg
Image Super-Resolution Using Local Learnable Kernel Regression	Renjie Liao; Zengchang Qin	Computer Vision -- ACCV 2012: 11th Asian Conference on Computer Vision, Daejeon, Korea, November 5-9, 2012, Revised Selected Papers, Part III	Kyoung Mu Lee; Yasuyuki Matsushita; James M. Rehg; Zhanyi Hu	2013	Springer Berlin Heidelberg
534 Face super resolution		Learning Control: Applications in Robotics and Complex Dynamical Systems	Bin Wei (editor); Dan Zhang (editor)	2021	Elsevier
Locally Adaptive Kernel Regression for Space-Time Super-Resolution	Hiroyuki Takeda; Peyman Milanfar	Super-Resolution Imaging	Peyman Milanfar	2011	Routledge
Weighted Logistic Regression Model	Jeffrey R. Wilson; Kent A. Lorenz	Modeling Binary Correlated Responses using SAS, SPSS and R	Jeffrey R. Wilson; Kent A. Lorenz	1st ed. 2015	Springer International Publishing
Super-Resolution MRI Using Fractional Order Kernel Regression and Total Variation	Vazim Ibrahim; Joseph Suresh Paul	Proceedings of International Conference on Computational Intelligence: ICCI 2020	Ritu Tiwari; Apoorva Mishra; Neha Yadav; Mario Pavone	1st ed. 2022	Springer Nature Singapore
Super-Resolution of 3D Face	Gang Pan; Shi Han; Zhaohui Wu; Yueming Wang	Computer Vision -- ECCV 2006: 9th European Conference on Computer Vision, Graz, Austria, May 7-13, 2006, Proceedings, Part II	Aleš Leonardis; Horst Bischof; Axel Pinz	2006	Springer Berlin Heidelberg
Super-Resolution in Diffusion-Weighted Imaging	Benoit Scherrer; Ali Gholipour; Simon K. Warfield	Medical Image Computing and Computer-Assisted Intervention - MICCAI 2011: 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part II	Gabor Fichtinger; Anne Martel; Terry Peters	2011	Springer Berlin Heidelberg
Weighted Discriminant Analysis and Kernel Ridge Regression Metric Learning for Face Verification	Siew-Chin Chong; Andrew Beng Jin Teoh; Thian-Song Ong	Neural Information Processing: 23rd International Conference, ICONIP 2016, Kyoto, Japan, October 16–21, 2016, Proceedings, Part II	Akira Hirose; Seiichi Ozawa; Kenji Doya; Kazushi Ikeda; Minho Lee; Derong Liu	1st ed. 2016	Springer International Publishing
Face Super-Resolution Guided by Facial Component Heatmaps	Xin Yu; Basura Fernando; Bernard Ghanem; Fatih Porikli; Richard Hartley	Computer Vision – ECCV 2018: 15th European Conference, Munich, Germany, September 8–14, 2018, Proceedings, Part IX	Vittorio Ferrari; Martial Hebert; Cristian Sminchisescu; Yair Weiss	1st ed. 2018	Springer International Publishing
Face Super-Resolution Guided by 3D Facial Priors	Xiaobin Hu; Wenqi Ren; John LaMaster; Xiaochun Cao; Xiaoming Li; Zechao Li et al.	Computer Vision – ECCV 2020: 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part IV	Andrea Vedaldi; Horst Bischof; Thomas Brox; Jan-Michael Frahm	1st ed. 2020	Springer International Publishing
Document Image Super-Resolution Reconstruction Based on Clustering Learning and Kernel Regression	Li Li; Haibin Liao; Youbin Chen	Pattern Recognition: 7th Chinese Conference, CCPR 2016, Chengdu, China, November 5-7, 2016, Proceedings, Part II	Tieniu Tan; Xuelong Li; Xilin Chen; Jie Zhou; Jian Yang; Hong Cheng	1st ed. 2016	Springer Nature Singapore
Optimization of Kernel and Weighted Local Regression Methods	Hans-Georg Müller	Nonparametric Regression Analysis of Longitudinal Data	Hans-Georg Müller	1988	Springer New York
Weighted Kernel Regression for Predicting Changing Dependencies	Steven Busuttil; Yuri Kalnishkan	Machine Learning: ECML 2007: 18th European Conference on Machine Learning, Warsaw, Poland, September 17-21, 2007, Proceedings	Joost N. Kok; Jacek Koronacki; Ramon Lopez de Mantaras; Stan Matwin; Dunja Mladenic	2007	Springer Berlin Heidelberg
4. 1. Exponential regression model		Survival analysis using S: analysis of time-to-event data /	Tableman, Mara.; Kim, Jong Sung.	[2004], ©2004.	Chapman & Hall/CRC,
Face Super-Resolution via Discriminative-Attributes	Ning Dong; Xiaoguang Li; Jiafeng Li; Li Zhuo	Pattern Recognition and Computer Vision: Second Chinese Conference, PRCV 2019, Xi’an, China, November 8–11, 2019, Proceedings, Part II	Zhouchen Lin; Liang Wang; Jian Yang; Guangming Shi; Tieniu Tan; Nanning Zheng; Xilin Chen; Yanning Zhang	1st ed. 2019	Springer International Publishing
92 The super-resolution model		Imaging and Sensing for Unmanned Aircraft Systems: Deployment and Applications (Control, Robotics and Sensors)	Vania V. Estrela (editor), Jude Hemanth (editor), Osamu Saotome (editor), George Nikolakopoulos (editor), Roberto Sabatini (editor)	2020	The Institution of Engineering and Technology
Weighted Regression		Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python	Peter Bruce, Andrew Bruce, Peter Gedeck	2020	O'Reilly Media
Kernel Regression		Data Analysis Using the Method of Least Squares: Extracting the Most Information from Experiments	John Wolberg	2006	Springer Berlin Heidelberg
Chapter	Author(s)	Book	Book Authors	Year	Publisher

Showing 1 to 20 of 100 entries

"Face Super Resolution by Tangential and Exponential Kernel Weighted Regression Model" - similar Books and Chapters