In this paper, we examine the problem of learning from noisecontaminated data in high-dimensional space. A new learning approach based on projections onto multi-dimensional ellips...
With the growing number of Web applications and their variety, the need to prevent unauthorised access to data and to ensure data integrity in distributed systems has led to an in...
This paper describes a data set collected by MIT's autonomous vehicle Talos during the 2007 DARPA Urban Challenge. Data from a high precision navigation system, 5 cameras, 12 ...
Albert S. Huang, Matthew E. Antone, Edwin Olson, L...
In this paper, we propose a novel component-wise smoothing algorithm that constructs a hierarchy (or family) of smoothened log-likelihood surfaces. Our approach first smoothens th...
In this paper, the formation flight of multiple Unmanned Helicopter (UH) systems is researched and a new decentralized receding horizon formation control algorithm is supposed. The...