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ICASSP
2010
IEEE
15 years 6 months ago
Learning from high-dimensional noisy data via projections onto multi-dimensional ellipsoids
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...
Liuling Gong, Dan Schonfeld
159
Voted
JCSS
2008
96views more  JCSS 2008»
15 years 6 months ago
Stateless data concealment for distributed systems
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...
Rachid Anane, Sukhvir Dhillon, Behzad Bordbar
IJRR
2010
100views more  IJRR 2010»
15 years 1 months ago
A High-rate, Heterogeneous Data Set From The DARPA Urban Challenge
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...
136
Voted
ICPR
2008
IEEE
16 years 7 months ago
Component-wise parameter smoothing for learning mixture models
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...
Bala Rajaratnam, Chandan K. Reddy
CDC
2009
IEEE
141views Control Systems» more  CDC 2009»
15 years 7 months ago
Decentralized receding horizon control for multiple unmanned helicopters considering dynamics model
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...
Yuqing He, Jianda Han