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SIAMIS
2010
190views more  SIAMIS 2010»
13 years 2 months ago
Analysis and Generalizations of the Linearized Bregman Method
This paper analyzes and improves the linearized Bregman method for solving the basis pursuit and related sparse optimization problems. The analysis shows that the linearized Bregma...
Wotao Yin
PRL
2011
12 years 10 months ago
A Bayes-true data generator for evaluation of supervised and unsupervised learning methods
Benchmarking pattern recognition, machine learning and data mining methods commonly relies on real-world data sets. However, there are some disadvantages in using real-world data....
Janick V. Frasch, Aleksander Lodwich, Faisal Shafa...
CDC
2010
IEEE
167views Control Systems» more  CDC 2010»
13 years 2 months ago
Numerical methods for the optimization of nonlinear stochastic delay systems, and an application to internet regulation
The Markov chain approximation method is an effective and widely used approach for computing optimal values and controls for stochastic systems. It was extended to nonlinear (and p...
Harold J. Kushner
SIMPRA
2011
13 years 2 months ago
A real-time multigrid finite hexahedra method for elasticity simulation using CUDA
In this paper we present a GPU-based multigrid approach for simulating elastic deformable objects in real time. Our method is based on a finite element discretization of the defo...
Christian Dick, Joachim Georgii, Rüdiger West...
ICASSP
2011
IEEE
12 years 11 months ago
Discrete regression methods on the cone of positive-definite matrices
We consider the problem of fitting a discrete curve to time-labeled data points on the set Pn of all n-by-n symmetric positive-definite matrices. The quality of a curve is measu...
Nicolas Boumal, Pierre-Antoine Absil