In this paper, we propose a general framework for approximating differential operator directly on point clouds and use it for geometric understanding on them. The discrete approxi...
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
Risheng Liu, Zhouchen Lin, Fernando De la Torre, Z...
Penetration Testing is a methodology for assessing network security, by generating and executing possible hacking attacks. Doing so automatically allows for regular and systematic...
Loosely structured heterogeneous information spaces are typically created by merging data from a variety of different applications and information sources. A common problem these...
Ekaterini Ioannou, Saket Sathe, Nicolas Bonvin, An...
In object oriented programming, the functionalities of a system result from the interactions (message exchanges) among the objects allocated by the system. While designing object ...