We introduce a new definition of privacy called crowd-blending privacy that strictly relaxes the notion of differential privacy. Roughly speaking, k-crowd blending private saniti...
Johannes Gehrke, Michael Hay, Edward Lui, Rafael P...
We address the problem of unsupervised segmentation and grouping in 2D and 3D space, where samples are corrupted by noise, and in the presence of outliers. The problem has attract...
In this work, we present intrinsic shape context (ISC) descriptors for 3D shapes. We generalize to surfaces the polar sampling of the image domain used in shape contexts: for this...
Iasonas Kokkinos, Michael M. Bronstein, Roee Litma...
—We propose a novel approach for the reconstruction of urban structures from 3D point clouds with an assumption of Manhattan World (MW) building geometry; i.e., the predominance ...
Carlos A. Vanegas, Daniel G. Aliaga, Bedrich Benes
—This paper presents a new cooperative coevolving particle swarm optimization (CCPSO) algorithm in an attempt to address the issue of scaling up particle swarm optimization (PSO)...