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ICCS
2007
Springer
14 years 1 months ago
Hessian-Based Model Reduction for Large-Scale Data Assimilation Problems
Assimilation of spatially- and temporally-distributed state observations into simulations of dynamical systems stemming from discretized PDEs leads to inverse problems with high-di...
Omar Bashir, Omar Ghattas, Judith Hill, Bart G. va...
ICDE
2003
IEEE
116views Database» more  ICDE 2003»
14 years 9 months ago
Joining Massive High-Dimensional Datasets
We consider the problem of joining massive datasets. We propose two techniques for minimizing disk I/O cost of join operations for both spatial and sequence data. Our techniques o...
Tamer Kahveci, Christian A. Lang, Ambuj K. Singh
ICRA
2006
IEEE
119views Robotics» more  ICRA 2006»
14 years 1 months ago
SLAM with Sparse Sensing
— Most work on the simultaneous localization and mapping (SLAM) problem assumes the frequent availability of dense information about the environment such as that provided by a la...
Kristopher R. Beevers, Wesley H. Huang
VIS
2007
IEEE
123views Visualization» more  VIS 2007»
14 years 9 months ago
Topological Visualization of Brain Diffusion MRI Data
Topological methods give concise and expressive visual representations of flow fields. The present work suggests a comparable method for the visualization of human brain diffusion ...
Thomas Schultz, Holger Theisel, Hans-Peter Seide...
IEEEVAST
2010
13 years 2 months ago
Finding and visualizing relevant subspaces for clustering high-dimensional astronomical data using connected morphological opera
Data sets in astronomy are growing to enormous sizes. Modern astronomical surveys provide not only image data but also catalogues of millions of objects (stars, galaxies), each ob...
Bilkis J. Ferdosi, Hugo Buddelmeijer, Scott Trager...