Locally Linear Embedding (LLE) has recently been proposed as a method for dimensional reduction of high-dimensional nonlinear data sets. In LLE each data point is reconstructed fro...
Claudio Varini, Andreas Degenhard, Tim W. Nattkemp...
We explore several different techniques in our quest to improve the overall model performance of a genetic algorithm calibrated probabilistic cellular automata. We use the Kappa ...
Sam Talaie, Ryan E. Leigh, Sushil J. Louis, Gary L...
Abstract. This paper examines the current way of keeping the data produced during the evaluation campaigns and highlights some shortenings of it. As a consequence, we propose a new...
Maristella Agosti, Giorgio Maria Di Nunzio, Nicola...
This paper proposes a novel 3D lossy compression algorithm tailored for 3D faces. We analyse the effects of compression on the face verification rate and measure recognition perf...
Lorenzo Granai, Miroslav Hamouz, Jose Rafael Tena,...
This paper introduces the Patent Mining Task of the Seventh NTCIR Workshop and the test collections produced in this task. The task's goal was the classification of research ...