We consider the problem of finding and ranking paths in semistructured data without necessarily knowing its full structure. The query language we adopt comprises conjunctions of r...
Carlos A. Hurtado, Alexandra Poulovassilis, Peter ...
This article shows how the interactive segmentation tool termed “Active Paintbrush” and a fully automatic region merging can both be based on the theoretical framework of contr...
Simbed, standing for similarity-based embedding, is a new method of embedding high-dimensional data. It relies on the preservation of pairwise similarities rather than distances. I...
Positive transfer learning (TL) occurs when, after gaining experience from learning how to solve a (source) task, the same learner can exploit this experience to improve performanc...
The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate t...
C. Ryan Johnson, Markus Glatter, Wesley Kendall, J...