After Minsky and Papert (Perceptrons, MIT Press, Cambridge, 1969) showed the inability of perceptrons in solving nonlinearly separable problems, for several decades people misinterpreted it as an inherent weakness that is ...

Convolutional neural networks -CNNs- have become an essential tool for solving many machine vision and machine learning problems. A major element of these networks is the convolution operator which essentially computes the ...

In this paper we propose a new method for extending 1-D step edge detection filters to two dimensions via complex-valued filtering. Complex-valued filtering allows us to obtain edge magnitude and direction simultaneously. ...

Runtime reconfiguration is a fundamental requirement of many telecommunication applications which also has been addressed by management standards like CMIP, 3GPP TS 32.602, and NETCONF. Two basic commands considered by ...