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» Approximation Techniques for Spatial Data
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CIKM
2003
Springer
14 years 2 months ago
Dimensionality reduction using magnitude and shape approximations
High dimensional data sets are encountered in many modern database applications. The usual approach is to construct a summary of the data set through a lossy compression technique...
Ümit Y. Ogras, Hakan Ferhatosmanoglu
GEOINFO
2003
13 years 10 months ago
Modelling Spatial Relations by Generalized Proximity Matrices
One of the main challenges for the development of spatial information theory is the formalization of the concepts of space and spatial relations. Currently, most spatial data struc...
Ana Paula Dutra de Aguiar, Gilberto Câmara, ...
ISMAR
2005
IEEE
14 years 2 months ago
Spatial Measurements for Medical Augmented Reality
This paper presents a set of Augmented Reality (AR) based interaction techniques for spatial analysis of medical datasets. Computer-aided medical planning tools such as our Virtua...
Bernhard Reitinger, Pascal Werlberger, Alexander B...
CHI
1999
ACM
14 years 1 months ago
Augmented Surfaces: A Spatially Continuous Work Space for Hybrid Computing Environments
Thispaper describes our design and implementation of a computer augmented environment that allows users to smoothly interchange digital information among their portable computers,...
Jun Rekimoto, Masanori Saitoh
PAKDD
2010
ACM
169views Data Mining» more  PAKDD 2010»
13 years 10 months ago
Correspondence Clustering: An Approach to Cluster Multiple Related Spatial Datasets
Domain experts are frequently interested to analyze multiple related spatial datasets. This capability is important for change analysis and contrast mining. In this paper, a novel ...
Vadeerat Rinsurongkawong, Christoph F. Eick