We consider the problem of discovering the optimal pattern from a set of strings and associated numeric attribute values. The goodness of a pattern is measured by the correlation b...
This paper presents a classification approach, where a sample is represented by a set of feature vectors called an attributed point pattern. Some attributes of a point are transf...
Temporal data mining aims at finding patterns in historical data. Our work proposes an approach to extract temporal patterns from data to predict the occurrence of target events,...
We show how to simulate Brownian motion not on a regular time grid, but on a regular spatial grid. That is, when it first hits points in Z for some > 0. Central to our method ...
In style-constrained classification often there are only a few samples of each style and class, and the correspondences between styles in the training set and the test set are un...