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TSP
2010
15 years 1 months ago
Shrinkage algorithms for MMSE covariance estimation
We address covariance estimation in the sense of minimum mean-squared error (MMSE) when the samples are Gaussian distributed. Specifically, we consider shrinkage methods which are ...
Yilun Chen, Ami Wiesel, Yonina C. Eldar, Alfred O....
CGO
2011
IEEE
14 years 10 months ago
Language and compiler support for auto-tuning variable-accuracy algorithms
—Approximating ideal program outputs is a common technique for solving computationally difficult problems, for adhering to processing or timing constraints, and for performance ...
Jason Ansel, Yee Lok Wong, Cy P. Chan, Marek Olsze...
CORR
2011
Springer
142views Education» more  CORR 2011»
14 years 10 months ago
Taming Numbers and Durations in the Model Checking Integrated Planning System
The Model Checking Integrated Planning System (MIPS) has shown distinguished performance in the second and third international planning competitions. With its object-oriented fram...
Stefan Edelkamp
JCPHY
2011
133views more  JCPHY 2011»
14 years 9 months ago
A Riemann solver for single-phase and two-phase shallow flow models based on relaxation. Relations with Roe and VFRoe solvers
We present a Riemann solver derived by a relaxation technique for classical single-phase shallow flow equations and for a two-phase shallow flow model describing a mixture of so...
Marica Pelanti, François Bouchut, Anne Mang...
KDD
2012
ACM
212views Data Mining» more  KDD 2012»
13 years 9 months ago
Fast bregman divergence NMF using taylor expansion and coordinate descent
Non-negative matrix factorization (NMF) provides a lower rank approximation of a matrix. Due to nonnegativity imposed on the factors, it gives a latent structure that is often mor...
Liangda Li, Guy Lebanon, Haesun Park