We propose MAD-C, a distributed approximate method: it can build on any appropriate clustering, to process disjoint subsets of the data distributedly; MAD-C then distills each resulting cluster into a data-summary. The summaries, computable in a continuous way, in constant time and space, are...
If not, it means that your migration is non-interrupting for the system and can be deployed automatically at any time. In the worst case, when the deploy is containing destructive migrations you can fallback to the old way of disabling the website during the deploy. But still your deploymen...
We propose MAD-C, a distributed approximate method: it can build on any appropriate clustering, to process disjoint subsets of the data distributedly; MAD-C then distills each resulting cluster into a data-summary. The summaries, computable in a continuous way, in constant time and space, are...
In summary, the current performance testing of unmanned ships lacks mature measurement and control systems and unified testing standards. The test instrument is directly placed on the unmanned ship under test, and the performance evaluation is mostly based on qualitative evaluations, such as the time...
This paper conducts research on obstacle detection using RGB-D cameras, and the main contributions are: 1. an obstacle detection process applied to an embedded platform is proposed; 2. a new hierarchical clustering method that improves on the traditional hierarchical clustering method. The main ...