Clustering is one of the most important tasks for geographic knowledge discovery. However, existing clustering methods have two severe drawbacks for this purpose. First, spatial c...
We investigate a form of modular neural network for classification with (a) pre-separated input vectors entering its specialist (expert) networks, (b) specialist networks which ar...
The standard method for making the full content of audio and video material searchable and is to annotate it with humangenerated meta-data that describes the content in a way that...
—The very high levels of integration and submicron device sizes used in current and emerging VLSI technologies for FPGAs lead to higher occurrences of defects and operational fau...
Background: The ever-increasing wealth of genomic sequence information provides an unprecedented opportunity for large-scale phylogenetic analysis. However, species phylogeny infe...