In contrast to traditional machine learning algorithms, where all data are available in batch mode, the new paradigm of streaming data poses additional difficulties, since data sam...
We propose a novel linearly augmented tree method for efficient scale and rotation invariant object matching. The proposed method enforces pairwise matching consistency defined ...
Scene understanding from a monocular, moving camera is a challenging problem with a number of applications including robotics and automotive safety. While recent systems have show...
Christian Wojek, Stefan Walk, Stefan Roth, Bernt S...
This paper addresses the problem of reducing unnecessary conflicts in optimistic synchronization. Optimistic synchronization must ensure that any two concurrently executing trans...
Omer Tripp, Roman Manevich, John Field, Mooly Sagi...
—We study scalable routing for a sensor network deployed in complicated 3D settings such as underground tunnels in gas system or water system. The nodes are in general 3D space b...
Xiaokang Yu, Xiaotian Yin, Wei Han, Jie Gao, Xianf...