Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...
This paper presents a novel approach for dense reconstruction from a single-view of a repetitive scene structure. Given an image and its detected repetition regions, we model the ...
The goal of this paper is to study how a-prior knowledge of the image database could be exploited for better watermarking performance. Unlike most formulations, where the encoder ...
Abstract. The peer sampling service is a middleware service that provides random samples from a large decentralized network to support gossip-based applications such as multicast, ...
Robust sequence prediction is an essential component of an intelligent agent acting in a dynamic world. We consider the case of near-future event prediction by an online learning ...
Steven Jensen, Daniel Boley, Maria L. Gini, Paul R...