We apply a constrained Hidden Markov Model architecture to the problem of simultaneous localization and surveying from sensor logs of mobile agents navigating in unknown environmen...
We present a method for the hierarchical representation of vector fields. Our approach is based on iterative refinement using clustering and principal component analysis. The inpu...
In this paper we introduce multiresolution analysis (MRA) algorithmsintendedto be used in scientific visualization,and basedon a non-nestedset ofapproximatingspaces. The need for ...
Emerging patterns have been studied as a useful type of pattern for the diagnosis and understanding of diseases based on the analysis of gene expression profiles. They are useful ...
We introduce a weakening of standard gametheoretic dominance conditions, called δdominance, which enables more aggressive pruning of candidate strategies at the cost of solution ...