212 search results - page 28 / 43 » Position Estimation Using Principal Components of Range Data |
JFR
2008
13 years 7 months ago
2008
We propose a novel combination of techniques for robustly estimating the position of a mobile robot in outdoor environments using range data. Our approach applies a particle filte...
JMLR
2010
13 years 5 months ago
2010
Sparse coding—that is, modelling data vectors as sparse linear combinations of basis elements—is widely used in machine learning, neuroscience, signal processing, and statisti...
CORR
2006
Springer
13 years 7 months ago
2006
Springer
The problem of discrete universal filtering, in which the components of a discrete signal emitted by an unknown source and corrupted by a known discrete memoryless channel (DMC) ar...
IPPS
2000
IEEE
13 years 11 months ago
2000
IEEE
The Network Weather Service NWS is a distributed resource monitoring and utilization prediction system, employed as an aid to scheduling jobs in a metacomputing environment 9, 1...
EMNLP
2008
13 years 8 months ago
2008
The conditional phrase translation probabilities constitute the principal components of phrase-based machine translation systems. These probabilities are estimated using a heurist...