The goal of this research is the improvement of browsing voluminous InkML data in two areas: ease of rendering continuous inkflow for replay-browsing, and ease of random access na...
Khaireel A. Mohamed, Lioudmila Belenkaia, Thomas O...
In a higher level task such as clustering of web results or word sense disambiguation, knowledge of all possible distinct concepts in which an ambiguous word can be expressed woul...
Although Locality-Sensitive Hashing (LSH) is a promising approach to similarity search in high-dimensional spaces, it has not been considered practical partly because its search q...
Wei Dong, Zhe Wang, William Josephson, Moses Chari...
We study the problem of automatically assigning appropriate music pieces to a picture or, in general, series of pictures. This task, commonly referred to as soundtrack suggestion,...
A key challenge in recommender system research is how to effectively profile new users, a problem generally known as cold-start recommendation. Recently the idea of progressivel...