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IGIS
1994
145views GIS» more  IGIS 1994»
15 years 10 months ago
Approximations for a Multi-Step Processing of Spatial Joins
The basic concept for processing spatial joins consists of two steps: First, the spatial join is performed on the minimum bounding rectangles of the objects by using a spatial acce...
Thomas Brinkhoff, Hans-Peter Kriegel
JCB
2007
191views more  JCB 2007»
15 years 6 months ago
Bayesian Haplotype Inference via the Dirichlet Process
The problem of inferring haplotypes from genotypes of single nucleotide polymorphisms (SNPs) is essential for the understanding of genetic variation within and among populations, ...
Eric P. Xing, Michael I. Jordan, Roded Sharan
TIP
2010
164views more  TIP 2010»
15 years 1 months ago
A Marked Point Process for Modeling Lidar Waveforms
Lidar waveforms are 1D signals representing a train of echoes caused by reflections at different targets. Modeling these echoes with the appropriate parametric function is useful ...
Clément Mallet, Florent Lafarge, Michel Rou...
CCE
2008
15 years 6 months ago
A hierarchical decision procedure for productivity innovation in large-scale petrochemical processes
Maintaining the best quality is essential for the survival of a company in a globally competitive world. Six Sigma activity has been widely accepted as one of the most efficient a...
Chonghun Han, Minjin Kim, En Sup Yoon
BMCBI
2010
106views more  BMCBI 2010»
15 years 1 months ago
Identification and correction of previously unreported spatial phenomena using raw Illumina BeadArray data
Background: A key stage for all microarray analyses is the extraction of feature-intensities from an image. If this step goes wrong, then subsequent preprocessing and processing s...
Mike L. Smith, Mark J. Dunning, Simon Tavaré...