Author:Makondo, Ndivhuwo; Rosman, Benjamin S; Hasegawa, ODate:May 2018Online learning of a robot’s inverse dynamics model for trajectory tracking necessitates an interaction between the robot and its environment to collect training data. This is challenging for physical robots in the real world, especially for ...Read more
Author:Lunga, D; Prasad, S; Crawford, M; Ersoy, ODate:Jan 2014Interest in manifold learning for representing the topology of large, high dimensional nonlinear data sets in lower, but still meaningful dimensions for visualization and classification has grown rapidly over the past decade, and particularly ...Read more
Author:Zhang, Y; Yangz, HL; Lunga, D; Prasad, S; Crawford, MDate:Jun 2014Manifold learning techniques have demonstrated various levels of success in their ability to represent spectral signature characteristics in hyperspectral imagery. Such images consists of spectral features with very subtle differences and at ...Read more
