Abstract. In this paper, we propose a set of new generic automated processing tools to characterise the local asymmetries of anatomical structures (represented by surfaces) at an i...
There are many applications related to singly linearly constrained quadratic programs subjected to upper and lower bounds. In this paper, a new algorithm based on secant approximat...
We report on three distinct experiments that provide new valuable insights into learning algorithms and datasets. We first describe two effective meta-features that significantly ...
We describe our experience with a new algorithm for the reconstruction of surfaces from unorganized sample points in IR 3. The algorithm is the first for this problem with provab...
Nina Amenta, Marshall W. Bern, Manolis Kamvysselis
Landmarking is a recent and promising metalearning strategy, which defines meta-features that are themselves efficient learning algorithms. However, the choice of landmarkers is m...