Download a mine poster . Other potential applications include the analysis of textured images. Generalized mixture models form the basis for a semiparametric fit to spatial data with regions of local homogeneity but global inhomogeneity. Regions in which a measure of distance between the estimated marginal density of the observations in that region and the estimated marginal density of observations in some other region are greater than a fixed threshold are determined to have a boundary somewhere in the transition region between them. Robustness is of critical importance when fitting models to real-world data which may not follow the nominal parametric model exactly.
Clustering provides a powerful technique for localizing behaviors.
The approach is to classify the events in the marked space-time point process into groups which exhibit similar behavior within groups and varying behavior across groups. Generalizations of traditional cluster analysis will involve clustering on novel spatial structures and novel behavioral characteristics. Robust inference techniques will be pursued in order to deal with uncertain underlying models. See this for a description of this work. Because of the potentially endless cycle of mine warfare and mine counter warfare, the validity of any particular model of the enemy's minefield is tenuous and makes it difficult to design robust detection algorithms.