Determining similarities among multimedia objects is a fundamental task in many content-based retrieval, analysis, mining, and exploration applications. Among state-of-the-art sim...
A good distance metric is crucial for unsupervised learning from high-dimensional data. To learn a metric without any constraint or class label information, most unsupervised metr...
In the field of structural pattern recognition graphs constitute a very common and powerful way of representing patterns. In contrast to string representations, graphs allow us to ...
We present a method for searching databases of symbolically represented polyphonic music that exploits advantages of transportation distances such as continuity and partial matchi...
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 ...