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» Approximation Techniques for Spatial Data
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CVPR
2008
IEEE
14 years 11 months ago
Edge preserving spatially varying mixtures for image segmentation
A new hierarchical Bayesian model is proposed for image segmentation based on Gaussian mixture models (GMM) with a prior enforcing spatial smoothness. According to this prior, the...
Giorgos Sfikas, Christophoros Nikou, Nikolas P. Ga...
DASFAA
1999
IEEE
79views Database» more  DASFAA 1999»
14 years 1 months ago
Early Separation of Filter and Refinement Steps in Spatial Query Optimization
The spatial query has been processed in two steps, the filter step and the refinement step, due to a large volume and high complexity of the spatial data. However, this approach h...
Ho-Hyun Park, Chan-Gun Lee, Yong-Ju Lee, Chin-Wan ...
DASFAA
2009
IEEE
203views Database» more  DASFAA 2009»
14 years 3 months ago
Adaptive Safe Regions for Continuous Spatial Queries over Moving Objects
Abstract. Continuous spatial queries retrieve a set of time-varying objects continuously during a given period of time. However, monitoring moving objects to maintain the correctne...
Yu-Ling Hsueh, Roger Zimmermann, Wei-Shinn Ku
IGARSS
2010
13 years 6 months ago
Adapting the sir algorithm to ASCAT
Scatterometers have been launched primarily to measure ocean winds. The value of scatterometer data is increased by application of the SIR (Scatterometer Image Reconstruction) alg...
Richard D. Lindsley, David G. Long
ICA
2010
Springer
13 years 10 months ago
Recovering Spikes from Noisy Neuronal Calcium Signals via Structured Sparse Approximation
Two-photon calcium imaging is an emerging experimental technique that enables the study of information processing within neural circuits in vivo. While the spatial resolution of th...
Eva L. Dyer, Marco F. Duarte, Don H. Johnson, Rich...