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code and data for the paper `Kernel Manifold Alignment for domain adaptation'
License: GNU General Public License v3.0
This project forked from dtuia/kema
code and data for the paper `Kernel Manifold Alignment for domain adaptation'
License: GNU General Public License v3.0
% % KERNEL MANIFOLD ALIGNMENT % % This demo illustrates the performance of the semisupervised kernel % manifold alignment (KEMA) in several toy examples. % % All these programs included in this package are intended for illustration % purposes and as accompanying software for the paper: % % Devis Tuia and Gustau Camps-Valls. % "Kernel Manifold Alignment for Domain Adaptation". PLoS One, 2016 % % If you find the software useful in other domains, we would greatly % acknowledge % citing our paper above. Also, please consider citing these papers: % % Semisupervised Manifold Alignment of Multimodal Remote Sensing Images % Devis Tuia, Michele Volpi, Maxime Trolliet, and G. Camps-Valls % IEEE Transactions on Geoscience and Remote Sensing, 52(12), 7708-7720, Dec. 2014 % % Unsupervised Alignment of Image Manifolds with Centrality Measures % Devis Tuia, Michele Volpi and G. Camps-Valls % 22nd International Conference on Pattern Recognition, ICPR 2014 % Stockholm, Sweden, August 2014 % % -------------------------------------- % Copyright & Disclaimer % -------------------------------------- % % The programs contained in this package are granted free of charge for % research and education purposes only. Scientific results produced using % the software provided shall acknowledge the use of this implementation % provided by us. If you plan to use it for non-scientific purposes, % don't hesitate to contact us. Because the programs are licensed free of % charge, there is no warranty for the program, to the extent permitted % by applicable law. except when otherwise stated in writing the % copyright holders and/or other parties provide the program "as is" % without warranty of any kind, either expressed or implied, including, % but not limited to, the implied warranties of merchantability and % fitness for a particular purpose. the entire risk as to the quality and % performance of the program is with you. should the program prove % defective, you assume the cost of all necessary servicing, repair or % correction. In no event unless required by applicable law or agreed to % in writing will any copyright holder, or any other party who may modify % and/or redistribute the program, be liable to you for damages, % including any general, special, incidental or consequential damages % arising out of the use or inability to use the program (including but % not limited to loss of data or data being rendered inaccurate or losses % sustained by you or third parties or a failure of the program to % operate with any other programs), even if such holder or other party % has been advised of the possibility of such damages. % % NOTE: This is just a demo providing a default initialization. Training % is not at all optimized. Other initializations, optimization techniques, % and training strategies may be of course better suited to achieve improved % results in this or other problems. We just did it in the standard way for % illustration purposes and dissemination of these models. % % Copyright (c) 2015 by Devis Tuia and Gustau Camps-Valls % % Devis Tuia, <[email protected]> % University of Zurich, Switzerland % http://www.geo.uzh.ch/en/units/multimodal-remote-sensing % % Gustau Camps-Valls, <[email protected]>, % Universitat de Valencia, Spain % http://isp.uv.es/ %
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