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JC
2010
55views more  JC 2010»
13 years 5 months ago
Dimension-wise integration of high-dimensional functions with applications to finance
We present a new general class of methods for the computation of high-dimensional integrals. The quadrature schemes result by truncation and discretization of the anchored-ANOVA d...
Michael Griebel, Markus Holtz
IJCNN
2008
IEEE
14 years 1 months ago
Sparse kernel density estimator using orthogonal regression based on D-Optimality experimental design
— A novel sparse kernel density estimator is derived based on a regression approach, which selects a very small subset of significant kernels by means of the D-optimality experi...
Sheng Chen, Xia Hong, Chris J. Harris
CORR
2011
Springer
199views Education» more  CORR 2011»
13 years 2 months ago
Fast Sparse Matrix-Vector Multiplication on GPUs: Implications for Graph Mining
Scaling up the sparse matrix-vector multiplication kernel on modern Graphics Processing Units (GPU) has been at the heart of numerous studies in both academia and industry. In thi...
Xintian Yang, Srinivasan Parthasarathy, Ponnuswamy...
JMIV
2011
138views more  JMIV 2011»
13 years 2 months ago
Direct Sparse Deblurring
We propose a deblurring algorithm that explicitly takes into account the sparse characteristics of natural images and does not entail solving a numerically ill-conditioned backwar...
Yifei Lou, Andrea L. Bertozzi, Stefano Soatto
ISSAC
2007
Springer
153views Mathematics» more  ISSAC 2007»
14 years 1 months ago
On exact and approximate interpolation of sparse rational functions
The black box algorithm for separating the numerator from the denominator of a multivariate rational function can be combined with sparse multivariate polynomial interpolation alg...
Erich Kaltofen, Zhengfeng Yang