Clustering large data sets of high dimensionality has always been a serious challenge for clustering algorithms. Many recently developed clustering algorithms have attempted to ad...
Context-based adaptive entropy coding is an essential feature of modern image compression algorithms; however, the design of these coders is non-trivial due to the balance that mu...
Interactive robotics demands real-time visual information about the environment. Real time vision processing, however, places a heavy load on the robot’s limited resources, and m...
Bruce A. Maxwell, Nathaniel Fairfield, Nikolas Joh...
Main memory accesses continue to be a significant bottleneck for applications whose working sets do not fit in second-level caches. With the trend of greater associativity in seco...
This paper proposes a simple methodology to construct an iterative neural network which mimics a given chaotic time series. The methodology uses the Gamma test to identify a suita...
Antonia J. Jones, Steve Margetts, Peter Durrant, A...