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2007
151views Robotics» more  RSS 2007»
15 years 1 months ago
Adaptive Non-Stationary Kernel Regression for Terrain Modeling
— Three-dimensional digital terrain models are of fundamental importance in many areas such as the geo-sciences and outdoor robotics. Accurate modeling requires the ability to de...
Tobias Lang, Christian Plagemann, Wolfram Burgard
ICCS
2009
Springer
15 years 6 months ago
Querying for Feature Extraction and Visualization in Climate Modeling
The ultimate goal of data visualization is to clearly portray features relevant to the problem being studied. This goal can be realized only if users can effectively communicate t...
C. Ryan Johnson, Markus Glatter, Wesley Kendall, J...
ICDT
2001
ACM
124views Database» more  ICDT 2001»
15 years 4 months ago
Why and Where: A Characterization of Data Provenance
Withthe proliferation of database views and curated databases, the issue of data provenance where a piece of data came from and the process by which it arrived in the database is b...
Peter Buneman, Sanjeev Khanna, Wang Chiew Tan
BMCBI
2010
88views more  BMCBI 2010»
14 years 12 months ago
MetaBar - a tool for consistent contextual data acquisition and standards compliant submission
Background: Environmental sequence datasets are increasing at an exponential rate; however, the vast majority of them lack appropriate descriptors like sampling location, time and...
Wolfgang Hankeln, Pier Luigi Buttigieg, Dennis Fin...
IJCAI
2003
15 years 1 months ago
A Learning Algorithm for Localizing People Based on Wireless Signal Strength that Uses Labeled and Unlabeled Data
This paper summarizes a probabilistic approach for localizing people through the signal strengths of a wireless IEEE 802.11b network. Our approach uses data labeled by ground trut...
Sebastian Thrun, Geoffrey J. Gordon, Frank Pfennin...