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EGICE
2006
15 years 5 months ago
Combining Two Data Mining Methods for System Identification
System identification is an abductive task which is affected by several kinds of modeling assumptions and measurement errors. Therefore, instead of optimizing values of parameters ...
Sandro Saitta, Benny Raphael, Ian F. C. Smith
99
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ICRA
2002
IEEE
110views Robotics» more  ICRA 2002»
15 years 6 months ago
Using Spatial Language in a Human-Robot Dialog
In conversation, people often use spatial relationships to describe their environment, e.g., “There is a desk in front of me and a doorway behind it”, and to issue directives,...
Marjorie Skubic, Dennis Perzanowski, Alan C. Schul...
87
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COSIT
2009
Springer
129views GIS» more  COSIT 2009»
15 years 8 months ago
Semi-automated Derivation of Conceptual Neighborhood Graphs of Topological Relations
Conceptual neighborhood graphs are similarity-based schemata of spatial/temporal relations. This paper proposes a semi-automated method for deriving a conceptual neighborhood graph...
Yohei Kurata
100
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KI
2010
Springer
15 years 8 days ago
Positions, Regions, and Clusters: Strata of Granularity in Location Modelling
Location models are data structures or knowledge bases used in Ubiquitous Computing for representing and reasoning about spatial relationships between so-called smart objects, i.e....
Hedda Rahel Schmidtke, Michael Beigl
137
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FSKD
2010
Springer
205views Fuzzy Logic» more  FSKD 2010»
14 years 12 months ago
Research on spatial data mining based on uncertainty in Government GIS
Uncertainty is the intrinsic property of spatial data and one of important factors affecting the course of spatial data mining. There are diversiform forms for the essentiality an...
Bin Li, Lihong Shi, Jiping Liu