There are a variety of methods for inducing predictive systems from observed data. Many of these methods fall into the field of study of machine learning. Some of the most effec...
We introduce a new paradigm for outsourcing the durability property of a multi-client transactional database to an untrusted service provider. Specifically, we enable untrusted s...
Abstract—This paper describes T-SIZE, a peer counting protocol that is based on gossip-based aggregation. Peer counting has become increasingly important as the size of the netwo...
The generation of profitable trading rules for Foreign Exchange (FX) investments is a difficult but popular problem. The use of Machine Learning in this problem allows us to obtai...
Akinori Hirabayashi, Claus de Castro Aranha, Hitos...
—In this work, we make use of 3D visual contours carrying geometric as well as appearance information. Between these contours, we define 3D relations that encode structural info...
Emre Baseski, Leon Bodenhagen, Nicolas Pugeault, S...