We address the problem of fast, large scale sketch-based image retrieval, searching in a database of over one million images. We show that current retrieval methods do not scale w...
Mathias Eitz, Kristian Hildebrand, Tamy Boubekeur,...
Educational data mining is an emerging discipline, concerned with developing methods for exploring the unique types of data that come from the educational context. This work is a ...
The widespread availability of devices with multiple wireless interfaces and the abundance of heterogeneous positioning techniques open new market potentials for Location Based Se...
Paolo Bellavista, Antonio Corradi, Carlo Giannelli
Clustering with partial supervision finds its application in situations where data is neither entirely nor accurately labeled. This paper discusses a semisupervised clustering algo...
Many research approaches are conceptualized as binary choices, representing endpoints of a spectrum (each of them providing important perspectives within their own discourses). Des...