We present a new approach to large-scale graph mining based on so-called backbone refinement classes. The method efficiently mines tree-shaped subgraph descriptors under minimum f...
As a well known fixed-point iteration algorithm for kernel
density mode-seeking, Mean-Shift has attracted wide attention
in pattern recognition field. To date, Mean-Shift algorit...
We describe a method for optimal construction of a detection cascade comprising 3D models of increasing levelof-detail (LOD). An LOD 3D model hierarchy of the target object is fir...
We introduce a browser evaluation test (BET), and describe a trial run application of the test. BET is a method for assessing meeting browser performance using the number of obser...
Pierre Wellner, Mike Flynn, Simon Tucker, Steve Wh...
In this work we describe a parallel implementation of the Poisson Surface Reconstruction algorithm based on multigrid domain decomposition. We compare implementations using differ...
Matthew Bolitho, Michael M. Kazhdan, Randal C. Bur...