In this paper, an analysis of locally linear embedding (LLE) in the context of clustering is developed. As LLE conserves the local affine coordinates of points, shape protrusions ...
Fabio Cuzzolin, Diana Mateus, David Knossow, Edmon...
Three-dimensional geometric data play fundamental roles in many computer vision applications. However, their scale-dependent nature, i.e. the relative variation in the spatial ext...
Computer animation is one of the key components of a multimedia document or presentation. Shape transformation between objects of different topology and positions is an open model...
Galina Pasko, Alexander A. Pasko, M. Ikeda, Tosiya...
In this paper we propose a weakly supervised learning algorithm for appearance models based on the minimum description length (MDL) principle. From a set of training images or volu...
Georg Langs, Rene Donner, Philipp Peloschek, Horst...
Three-dimensional stacking of silicon layers is emerging as a promising solution to handle the design complexity and heterogeneity of Systems on Chips (SoCs). Networks on Chips (N...