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ICML
2009
IEEE
14 years 6 months ago
A least squares formulation for a class of generalized eigenvalue problems in machine learning
Many machine learning algorithms can be formulated as a generalized eigenvalue problem. One major limitation of such formulation is that the generalized eigenvalue problem is comp...
Liang Sun, Shuiwang Ji, Jieping Ye
ICASSP
2011
IEEE
12 years 9 months ago
Recovery of sparse perturbations in Least Squares problems
We show that the exact recovery of sparse perturbations on the coefficient matrix in overdetermined Least Squares problems is possible for a large class of perturbation structure...
Mert Pilanci, Orhan Arikan
SIAMJO
2010
137views more  SIAMJO 2010»
13 years 3 months ago
Global Convergence of a New Hybrid Gauss--Newton Structured BFGS Method for Nonlinear Least Squares Problems
In this paper, we propose a hybrid Gauss-Newton structured BFGS method with a new update formula and a new switch criterion for the iterative matrix to solve nonlinear least square...
Weijun Zhou, Xiaojun Chen
SIAMNUM
2011
328views more  SIAMNUM 2011»
13 years 8 days ago
First-Order System Least Squares for Coupled Stokes-Darcy Flow
The coupled problem with Stokes flow in one subdomain and a Darcy flow model in a second subdomain is studied in this paper. Both flow problems are treated as first-order syste...
Steffen Münzenmaier, Gerhard Starke
TIT
2002
146views more  TIT 2002»
13 years 5 months ago
Least squares estimation of 2-D sinusoids in colored noise: Asymptotic analysis
This paper considers the problem of estimating the parameters of real-valued two-dimensional (2-D) sinusoidal signals observed in colored noise. This problem is a special case of t...
Guy Cohen, Joseph M. Francos