— We propose a method that takes observations of a random vector as input, and learns to segment each observation into two disjoint parts. We show how to use the internal coheren...
Abstract - In this paper we develop and analyze Spiking Neural Network (SNN) versions of Resilient Propagation (RProp) and QuickProp, both training methods used to speed up trainin...
Abstract— This demonstration highlights the benefits that image retrieval systems can enjoy by use of a thoughtful interface. We present a live demonstration of PRISM, a new Web...
Liam M. Mayron, Oge Marques, Gustavo B. Borba, Hum...
Abstract— The increasing complexity and dynamics of logistic processes is creating significant new challenges for the management of goods transport. This is leading to increased...
Bernd-Ludwig Wenning, Andreas Timm-Giel, Dirk Pesc...
Abstract— Optimization of a similarity metric is an essential component in most medical image registration approaches based on image intensities. In this paper, two new, determin...