Time varying environments or model selection problems lead to crucial dilemmas in identification and control science. In this paper, we propose a modular prediction scheme consisti...
We study how different prediction update algorithms influence the performance of XCSF. We consider three classical parameter estimation algorithms (NLMS, RLS, and Kalman filter) a...
Pier Luca Lanzi, Daniele Loiacono, Stewart W. Wils...
We propose an adaptive ltering approach for coding video that exhibits localized camera focus changes, e.g., such that different portions of a video frame can undergo different bl...
PoLin Lai, Yeping Su, Peng Yin, Cristina Gomila, A...
Over the last years, inertial sensing has proven to be a suitable ambulatory alternative to traditional human motion tracking based on optical position measurement systems, which a...
H. Martin Schepers, Daniel Roetenberg, Peter H. Ve...
Recommender Systems, based on collaborative filtering (CF), aim to accurately predict user tastes, by minimising the mean error achieved on hidden test sets of user ratings, afte...