Abstract:Abstract-Linear Dynamical Systems (LDSs) have been extensively used for modeling and recognition of dynamic visual phenomena such as human activities, dynamic textures, facial deformations and lip articulations. In these applications, a huge number of LDSs identified from high-dimensional timeseries need to be compared. Over the past decade, three computationally efficient distances have emerged: the Martin distance [1], distances obtained from the subspace angles between observability subspaces [2], and dista… Show more
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