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» A Practical Method for the Sparse Resultant
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CVPR
2011
IEEE
15 years 3 months ago
Camera Calibration with Lens Distortion from Low-rank Textures
We present a simple, accurate, and flexible method to calibrate intrinsic parameters of a camera together with (possibly significant) lens distortion. This new method can work u...
Zhengdong Zhang, Yasuyuki Matsushita, Yi Ma
CORR
2010
Springer
114views Education» more  CORR 2010»
15 years 6 months ago
Sequential Compressed Sensing
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
EVOW
2005
Springer
15 years 11 months ago
Design of Fast Multidimensional Filters Using Genetic Algorithms
A method for designing fast multidimensional filters using genetic algorithms is described. The filter is decomposed into component filters where coefficients can be sparsely sc...
Max Langer, Björn Svensson, Anders Brun, Mats...
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 11 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee
ACL
2009
15 years 4 months ago
Generalizing over Lexical Features: Selectional Preferences for Semantic Role Classification
This paper explores methods to alleviate the effect of lexical sparseness in the classification of verbal arguments. We show how automatically generated selectional preferences ar...
Beñat Zapirain, Eneko Agirre, Lluís ...