1921 search results - page 340 / 385 » Learning from sensor network data |
CEC
2009
IEEE
15 years 2 months ago
2009
IEEE
—We present a new distributed genetic algorithm that can be used to extract useful information from distributed, large data over the network. The main idea of the proposed algori...
COMCOM
2010
14 years 9 months ago
2010
Due to its versatility, flexibility and fast development, the modern Internet is far from being well understood in its entirety. A good way to learn more about how the Internet fu...
ICRA
1999
IEEE
15 years 2 months ago
1999
IEEE
Mobile robot localization is the problem of determining a robot's pose from sensor data. This article presents a family of probabilisticlocalization algorithms known as Monte...
ICRA
1999
IEEE
15 years 2 months ago
1999
IEEE
Current manufacturing methods for robotic-controlled assembly rely on accurate positioning to ensure task completion, often through the use of special xtures and precise calibrati...
AAAI
2008
15 years 1 days ago
2008
Most manifold learning methods consider only one similarity matrix to induce a low-dimensional manifold embedded in data space. In practice, however, we often use multiple sensors...