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Relevant multichannel time series representation based on functional measures in RKHS
(Manizales - Ingeniería y Arquitectura - Doctorado en Ingeniería - AutomáticaDepartamento de Ingeniería Eléctrica y ElectrónicaUniversidad Nacional de Colombia - Sede Manizales, 2020)
Kernels methods provide a powerful and unifying framework to solve nonlinear problems while retaining in many cases, the simplicity of linear solutions. However, in machine learning and kernels methods, data is assumed to ...
Relevant Kinematic Feature Selection to Support Human Action Recognition in MoCap data
(Springer, Cham, 2017-05-27)
This paper presents a feature selection comparison oriented to human action recognition only with the kinematic features of skeleton representation. For this purpose, three relevance methods are used to rank the contribution ...
Bog: A New Approach For Graph Matching
(Institute of Electrical and Electronics Engineers Inc., 2014)
Fisir: A Flexible Framework For Interactive Search In Image Retrieval Systems
(Springer Verlag, 2015)