Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems

 

 

Congratulations to my colleagues for our recent paper with title of "Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems" which is accepted at the prestige Journal of Mathematical Imaging and Vision (JMIV). In this paper we proposed a comprehensive approach for non-linear mapping problems. JMIV is a top Q1 journal within Computer Vision and Pattern Recognition which is indexing by ISI Thomson Reuters web of science with impact factor of 1.994.

 

 

 

MF4JMIV_Page_01

It is an open access paper that means you can download and read it as free of cost! Thanks Graz University of Technology for its support.

http://dx.doi.org/10.1007/s10851-017-0755-z

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Please cite this article as:
Mahdi Jampour, Mohammad-Shahram Moin, Lap-Fai Yu, Horst Bischof, 
Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems,
Journal of Mathematical Imaging and Vision (2017),
doi:dx.doi.org/10.1007/s10851-017-0755-z
 
 
BibTeX:

@article{Jampour2017JMIV,

   title = "Mapping Forests: A Comprehensive Approach for Nonlinear Mapping Problems",

   journal = "Journal of Mathematical Imaging and Vision",

   author = "Mahdi Jampour and Mohammad-Shahram Moin and Lap-Fai Yu and Horst Bischof",

   volume = "",

   number = "",

   pages = " - ",

   year = "2017",

   issn = "0924-9907",

   doi = "http://dx.doi.org/10.1007/s10851-017-0755-z"

}

 


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