Most previously proposed frequent graph mining algorithms are intended to find the complete set of all frequent, closed subgraphs. However, in many cases only a subset of the freq...
Interpretation of paper drawings has received a good deal of attention over the last decade. Progress has also been made in related areas such as direct interpretation of human dr...
SimilarityIndexing is very importantfor content-basedretrieval on large multimedia databases, and the "tightness"of data set envelope is a factor that influences the perf...
In nearest neighbor searching we are given a set of n data points in real d-dimensional space, d , and the problem is to preprocess these points into a data structure, so that give...
Efficient isosurface extraction from large volume data sets requires special algorithms and data structures. Such algorithms typically either use a hierarchical spatial subdivisio...