This paper presents an alternative to current authoring methods for use in distance education. Several commercially available distanceeducation authoring tools are briefly discuss...
James Garvin, Eric Alsheimer, Zak Bradshaw, Peter ...
This paper presents a partitional dynamic clustering method for interval data based on adaptive Hausdorff distances. Dynamic clustering algorithms are iterative two-step relocatio...
Francisco de A. T. de Carvalho, Renata M. C. R. de...
Dimensionality reduction plays an important role in many machine learning and pattern recognition tasks. In this paper, we present a novel dimensionality reduction algorithm calle...
We consider four problems on distance estimation and object location which share the common flavor of capturing global information via informative node labels: low-stretch routin...
As the E-Commerce rapidly grows up, searching data is almost necessary in every application. Approximate string matching problems play a very important role to search with errors....