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» Cokriging for spatial functional data
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ISBI
2008
IEEE
14 years 6 months ago
Inferring functional connectivity using spatial modulation measures of fMRI signals within brain regions of interest
We propose inferring functional connectivity between brain regions by examining the spatial modulation of the blood oxygen level dependent (BOLD) signals within brain regions of i...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeown
ICDM
2003
IEEE
138views Data Mining» more  ICDM 2003»
13 years 11 months ago
PixelMaps: A New Visual Data Mining Approach for Analyzing Large Spatial Data Sets
PixelMaps are a new pixel-oriented visual data mining technique for large spatial datasets. They combine kerneldensity-based clustering with pixel-oriented displays to emphasize c...
Daniel A. Keim, Christian Panse, Mike Sips, Stephe...
MICCAI
2009
Springer
14 years 7 months ago
Estimating Orientation Distribution Functions with Probability Density Constraints and Spatial Regularity
High angular resolution diffusion imaging (HARDI) has become an important magnetic resonance technique for in vivo imaging. Current techniques for estimating the diffusion orientat...
Alvina Goh, Christophe Lenglet, Paul M. Thompson, ...
ICIP
2004
IEEE
14 years 7 months ago
Minimizing a weighted error criterion for spatial error concealment of missing image data
In this contribution we present an algorithm for spatial error concealment of lost image data caused by transmission of images in error prone environments. The surrounding correct...
André Kaup, Katrin Meisinger
ER
2004
Springer
103views Database» more  ER 2004»
13 years 11 months ago
Querying Heterogeneous Spatial Databases: Combining an Ontology with Similarity Functions
This paper uses a knowledge-based approach to querying heterogeneous spatial databases based on an ontology and conceptual and attribute similarities. The ontology, which may be in...
Mariella Gutiérrez, M. Andrea Rodríg...