The role of transformation in learning and education for sustainability
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Cleaner Production"
DOI: 10.1016/j.jclepro.2018.07.017
Abstract: Abstract Education research has acknowledged the value of transformation, which offers an opportunity for researching and rethinking how appropriate and successful educational practices may be. However, despite the role of transformation in higher education and… read more here.
Keywords: transformation learning; role transformation; transformation; learning education ... See more keywords
Systems transformation: learning from change in 60 countries.
Sign Up to like & getrecommendations! Published in 2019 at "Journal of health organization and management"
DOI: 10.1108/jhom-01-2019-0018
Abstract: PURPOSE Much work about health reform and systems improvement in healthcare looks at shortcomings and universal problems facing health systems, but rarely are accomplishments dissected and analyzed internationally. The purpose of this paper is to… read more here.
Keywords: systems change; transformation learning; health systems; health ... See more keywords
Discriminative Transformation Learning for Fuzzy Sparse Subspace Clustering
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2017.2729542
Abstract: This paper develops a novel iterative framework for subspace clustering (SC) in a learned discriminative feature domain. This framework consists of two modules of fuzzy sparse SC and discriminative transformation learning. In the first module,… read more here.
Keywords: fuzzy sparse; transformation learning; subspace clustering; subspace ... See more keywords
Joint Transformation Learning via the L2,1-Norm Metric for Robust Graph Matching
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Transactions on Cybernetics"
DOI: 10.1109/tcyb.2019.2912718
Abstract: Establishing correspondence between two given geometrical graph structures is an important problem in computer vision and pattern recognition. In this paper, we propose a robust graph matching (RGM) model to improve the effectiveness and robustness… read more here.
Keywords: robust graph; joint transformation; transformation learning; graph ... See more keywords