The aim of this research is to develop new image processing models that can be used to characterize single opacities and opacity density within pre-selected regions of interest (R...
Marios S. Pattichis, Harini Muralidharan, Constant...
This paper describes a networked FPGA-based implementation of the FAST (Flexible Adaptable-Size Topology) architecture, a Arti cial Neural Network (ANN) that dynamically adapts it...
Model based error compensation of a robotic manipulator, also known as robot calibration, requires the identification of its generalized errors. These errors are found from measur...
Markov Random Fields are widely used in many image processing applications. Recently the shortcomings of some of the simpler forms of these models have become apparent, and models ...
Abstract. In this paper, we present a methodology for mapping an Embedded Signal Processing ESP application onto HPC platforms such that the throughput performance is maximized. Pr...