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Many object classes are primarily defined by their functions. However, this fact has been left largely unexploited by visual object categorization or detection systems. We propos...
We present a new software technology for on-line performance analysis and visualization of complex parallel and distributed systems. Often heterogeneous, these systems need capabi...
Aleksandar M. Bakic, Matt W. Mutka, Diane T. Rover
This contribution proposes a compositionality architecture for visual object categorization, i.e., learning and recognizing multiple visual object classes in unsegmented, cluttered...