In this paper, we propose a physically-based dynamical model for tracking. Our model relies on Newton’s second law of motion, which governs any real-world dynamical system. As a...
We introduce a framework for modeling spatial patterns of shapes formed by multiple objects in an image. Our approach is graph-based where each node denotes an object and attribut...
— Inspired by the universal laws governing different kinds of complex networks, we propose a scale-free highlyclustered echo state network (SHESN). Different from echo state netw...
Models of Memory Management Greg Morrisett Matthias Felleisen Robert Harper January 1995 CMU{CS{95{110 School of Computer Science Carnegie Mellon University Pittsburgh, PA 15213 Al...
J. Gregory Morrisett, Matthias Felleisen, Robert H...
As machine learning (ML) systems emerge in end-user applications, learning algorithms and classifiers will need to be robust to an increasingly unpredictable operating environment...