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» An Event-Based Approach to Spatial Information
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137
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ICRA
2010
IEEE
185views Robotics» more  ICRA 2010»
15 years 1 months ago
Heteroscedastic Gaussian processes for data fusion in large scale terrain modeling
This paper presents a novel approach to data fusion for stochastic processes that model spatial data. It addresses the problem of data fusion in the context of large scale terrain ...
Shrihari Vasudevan, Fabio T. Ramos, Eric Nettleton...
176
Voted
KI
2010
Springer
14 years 10 months ago
Lifelong Map Learning for Graph-based SLAM in Static Environments
In this paper, we address the problem of lifelong map learning in static environments with mobile robots using the graph-based formulation of the simultaneous localization and mapp...
Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stach...
CVPR
2011
IEEE
14 years 7 months ago
Space-Time Super-Resolution from a Single Video
Spatial Super Resolution (SR) aims to recover fine image details, smaller than a pixel size. Temporal SR aims to recover rapid dynamic events that occur faster than the video fra...
Oded Shahar, Alon Faktor, Michal Irani
PAMI
2011
14 years 11 months ago
Action Recognition Using Mined Hierarchical Compound Features
—The field of Action Recognition has seen a large increase in activity in recent years. Much of the progress has been through incorporating ideas from single frame object recogn...
Andrew Gilbert, John Illingworth, Richard Bowden
SSD
2001
Springer
218views Database» more  SSD 2001»
15 years 8 months ago
Efficient Mining of Spatiotemporal Patterns
The problem of mining spatiotemporal patterns is finding sequences of events that occur frequently in spatiotemporal datasets. Spatiotemporal datasets store the evolution of object...
Ilias Tsoukatos, Dimitrios Gunopulos