Searching for Superresolution Using Support Vector information? Find all needed info by using official links provided below.
https://www.researchgate.net/publication/6289713_Image_Superresolution_Using_Support_Vector_Regression
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and ...
https://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4200763
Abstract: A thorough investigation of the application of support vector regression (SVR) to the superresolution problem is conducted through various frameworks. Prior to the study, the SVR problem is enhanced by finding the optimal kernel. This is done by formulating the kernel learning problem in SVR form as a convex optimization problem, specifically a semi-definite programming (SDP) problem.Cited by: 270
https://dl.acm.org/citation.cfm?id=2321380
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and the results are impressive for small training sets.Cited by: 270
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.367.2012
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): A thorough investigation of the application of support vector regression (SVR) to the superresolution problem is conducted through various frameworks. Prior to the study, the SVR problem is enhanced by finding the optimal kernel. This is done by formulating the kernel learning problem in SVR form as a convex ...
https://www.researchgate.net/publication/271456345_Image_super-resolution_using_multi-layer_support_vector_regression
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and ...
http://www.ijcsit.com/docs/Volume%205/vol5issue04/ijcsit2014050439.pdf
Interpolation Based Image Super Resolution by Support-Vector-Regression Sowmya. M 1, Anand M.J 2 1Final Year M.Tech Student, Department Of Electronics And Communication, PES College Of Engineering, Mandya, Karnataka, India. 2Assistant Professor, Department Of Electronics And Communication, PES College Of Engineering, Mandya, Karnataka, India. ...
https://www.researchgate.net/publication/224641292_Single_Image_Superresolution_Based_on_Support_Vector_Regression
After this optimization, investigation of the relevancy of SVR to superresolution proceeds with the possibility of using a single and general support vector regression for all image content, and ...
https://www.sciencedirect.com/science/article/pii/S0167865517301241
SK-SVR: Sigmoid kernel support vector regression based in-scale single image super-resolution Author links open overlay panel Jebaveerasingh Jebadurai J Dinesh Peter Show moreCited by: 7
https://ieeexplore.ieee.org/document/6762884/
Example-Based Super-Resolution Land Cover Mapping Using Support Vector Regression Abstract: Super-resolution mapping (SRM) is a promising technique to generate a fine resolution land cover map from coarse fractional images by predicting the spatial locations of different land cover classes at subpixel scale. In most cases, SRM is accomplished ...Cited by: 52
https://www.researchgate.net/publication/221534545_Single_Image_Super-Resolution_Based_on_Support_Vector_Regression
Learning-based approaches for super-resolution (SR) have been studied in the past few years. In this paper, a novel single-image SR framework based on the learning of sparse image representation ...
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