In this paper, a data-driven extension of the variational algorithm is proposed. Based on a few selected sensors, target tracking is performed distributively without any informati...
Hichem Snoussi, Jean-Yves Tourneret, Petar M. Djur...
We revisit the definition of regressions in eye tracking, having found existing definitions, formulated within a reading paradigm, unsuitable for visual display assessment. The ne...
James A. Renshaw, Janet Finlay, David A. Tyfa, Rob...
We reduce email overload by addressing the problem of waiting for a reply to one’s email. We predict whether sent and received emails necessitate a reply, enabling the user to b...
A multiresolutional regularization method is proposed for local linear regression that regularizes local mean squared-error by the mean squared-error of a larger neighborhood. The...
We initiate the study of incentives in a general machine learning framework. We focus on a game-theoretic regression learning setting where private information is elicited from mu...