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TIT
2008
141views more  TIT 2008»
15 years 6 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
KAIS
2008
221views more  KAIS 2008»
15 years 6 months ago
Forecasting skewed biased stochastic ozone days: analyses, solutions and beyond
Much work on skewed, stochastic, high dimensional, and biased datasets usually implicitly solve each problem separately. Recently, we have been approached by Texas Commission on En...
Kun Zhang, Wei Fan
CRV
2006
IEEE
101views Robotics» more  CRV 2006»
16 years 18 days ago
Urban Position Estimation from One Dimensional Visual Cues
We consider the problem of vision-based position estimation in urban environments. In particular, we are interested in position estimation from visual cues, but using only limited...
Derek Johns, Gregory Dudek
FSR
2003
Springer
112views Robotics» more  FSR 2003»
15 years 11 months ago
Decentralised SLAM with Low-Bandwidth Communication for Teams of Vehicles
— This paper addresses the problem of simultaneous localization and mapping (SLAM) for teams of collaborating vehicles where the communication bandwidth is limited. We present a ...
Eric Nettleton, Sebastian Thrun, Hugh F. Durrant-W...
162
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ECCV
2010
Springer
15 years 11 months ago
Weakly-Paired Maximum Covariance Analysis for Multimodal Dimensionality Reduction and Transfer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...