Metric Access Methods (MAM) are employed to accelerate the processing of similarity queries, such as the range and the k-nearest neighbor queries. Current methods improve the quer...
Marcos R. Vieira, Caetano Traina Jr., Fabio Jun Ta...
This paper describes an empirical study of the "Information Synthesis" task, defined as the process of (given a complex information need) extracting, organizing and inte...
We have developed a technique to characterize software developers' styles using a set of source code metrics. This style fingerprint can be used to identify the likely author...
The performance of many supervised and unsupervised learning algorithms is very sensitive to the choice of an appropriate distance metric. Previous work in metric learning and ada...
In recent years, considerable advances have been made in the study of properties of metric spaces in terms of their doubling dimension. This line of research has not only enhanced...