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» Transformations for semi-continuous data
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ACMACE
2008
ACM
15 years 8 months ago
Dimensionality reduced HRTFs: a comparative study
Dimensionality reduction is a statistical tool commonly used to map high-dimensional data into lower a dimensionality. The transformed data is typically more suitable for regressi...
Bill Kapralos, Nathan Mekuz, Agnieszka Kopinska, S...
CIDR
2003
138views Algorithms» more  CIDR 2003»
15 years 8 months ago
AIMS: An Immersidata Management System
We introduce a system to address the challenges involved in managing the multidimensional sensor data streams generated within immersive environments. We call this data type, imme...
Cyrus Shahabi
BMCBI
2007
104views more  BMCBI 2007»
15 years 6 months ago
Joint mapping of genes and conditions via multidimensional unfolding analysis
Background: Microarray compendia profile the expression of genes in a number of experimental conditions. Such data compendia are useful not only to group genes and conditions base...
Katrijn Van Deun, Kathleen Marchal, Willem J. Heis...
VIS
2004
IEEE
187views Visualization» more  VIS 2004»
16 years 7 months ago
Methods for Efficient, High Quality Volume Resampling in the Frequency Domain
Resampling is a frequent task in visualization and medical imaging. It occurs whenever images or volumes are magnified, rotated, translated, or warped. Resampling is also an integ...
Aili Li, Klaus Mueller, Thomas Ernst
IPPS
2009
IEEE
16 years 1 months ago
High-order stencil computations on multicore clusters
Stencil computation (SC) is of critical importance for broad scientific and engineering applications. However, it is a challenge to optimize complex, highorder SC on emerging clus...
Liu Peng, Richard Seymour, Ken-ichi Nomura, Rajiv ...