Training recurrent neural networks is hard. Recently it has however been discovered that it is possible to just construct a random recurrent topology, and only train a single linea...
Benjamin Schrauwen, David Verstraeten, Jan M. Van ...
This paper presents an Application Specific Instruction Set Processor (ASIP) design for the implementation of a class of nonlinear image processing algorithms, the Retinex-like fi...
Topology modification of hexahedral meshes has been considered difficult due to the propagation of topological modifications non-locally. We address this problem by working in the...
—Emerging applications of computer vision and pattern recognition in mobile devices and networked computing require the development of resourcelimited algorithms. Linear classifi...
Abstract. Virtual Private Networks are a popular mechanism for building complex network infrastructures. Such infrastructures are usually accompanied by strict administrative restr...