In this paper, we propose an inherent parallel scheme for 3D image segmentation of large volume data on a GPU cluster. This method originates from an extended Lattice Boltzmann Mod...
Existing graph mining algorithms typically assume that the dataset can fit into main memory. As many large graph datasets cannot satisfy this condition, truly scalable graph minin...
Modern scientific experiments can generate large amounts of data, which may be replicated and distributed across multiple resources to improve application performance and fault to...
Abstract. This paper presents a new fast and local method of 3D surface reconstruction for scattered data. The algorithm makes use of quasiinterpolants to compute the control point...
In this paper, we propose new predictive coding schemes for photometry data of three-dimensional (3-D) mesh models as per-vertex binding. We exploit geometry and connectivity infor...