Recently there has been a lot of interest in geometrically motivated approaches to data analysis in high dimensional spaces. We consider the case where data is drawn from sampling...
Xiaofei He, Deng Cai, Shuicheng Yan, HongJiang Zha...
5th International Symposium on Visual Computing, Las Vegas, Nevada, USA, Nov 30 - Dec 2, 2009 The Laplacian pyramid recursively splits an image into local averages and local diff...
Given a finite number of data points sampled from a low-dimensional manifold embedded in a high dimensional space together with the parameter vectors for a subset of the data poin...
Abstract. Data privacy is an important application of ontology modularization. The aim is to publish one module while keeping the information of another module private. We show how...
We report on the implementation of a software infrastructure for preservation actions, carried out in the context of the European Integrated Project Planets – the Planets Interop...
Ross King, Rainer Schmidt, Andrew N. Jackson, Carl...