Information distance is used to measure how similar sensorimotor experience is to past experience within a certain temporal horizon. Applied to groups of sensors this gives a mathe...
Naeem Assif Mirza, Chrystopher L. Nehaniv, Kerstin...
In sequential prediction tasks, one repeatedly tries to predict the next element in a sequence. A classical way to solve these problems is to fit an order-n Markov model to the da...
Abstract. The Gaussian scale-space is a standard tool in image analysis. While continuous in theory, it is generally realized with fixed regular grids in practice. This prevents th...
High-Performance Reconfigurable Computers (HPRCs) are parallel machines consisting of FPGAs and microprocessors, with the FPGAs used as co-processors. The execution of parallel app...
Esam El-Araby, Vikram K. Narayana, Tarek A. El-Gha...
Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words f...