Compressed pattern matching is an emerging research area that addresses the following problem: given a file in compressed format and a pattern, report the occurrence(s) of the pat...
We propose a novel compression method for multiview still images. The algorithm exploits the layer-based representation, which partitions the data set into planar layers character...
Andriy Gelman, Pier Luigi Dragotti, Vladan Velisav...
Calibrating the parameters of an evolutionary algorithm (EA) is a laborious task. The highly stochastic nature of an EA typically leads to a high variance of the measurements. The ...
The normalization of a data cube is the process of choosing an ordering for the attribute values, and the chosen ordering will affect the physical storage of the cube’s data. For...
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...