In today’s applications data is produced at unprecedented rates. While the capacity to collect and store new data rapidly grows, the ability to analyze these data volumes increa...
This paper presents a novel 3D shape descriptor "The Generalized Shape Distributions" for effective shape matching and analysis, by taking advantage of both local and gl...
We introduce a new approach to computing interprocedural modification side effects for Java programs in the presence of dynamic class loading. When compile-time unknown classes c...
We present experimental analysis to exploit the sequence dependence on energy saving in error tolerant image processing. Our analysis shows that the error distributions depend not...
Empirical mode decomposition (EMD) is an algorithm for signal analysis recently introduced by Huang. It is a completely datadriven non-linear method for the decomposition of a sign...