7 search results - page 1 / 2 » Bounds on the Minimizers of (nonconvex) Regularized Least-Sq... |
SCALESPACE
2007
Springer
13 years 11 months ago
2007
Springer
This is a theoretical study on the minimizers of cost-functions composed of an ℓ2 data-fidelity term and a possibly nonsmooth or nonconvex regularization term acting on the di...
SDM
2008
SIAM
13 years 6 months ago
2008
SIAM
This paper presents a stagewise least square (SLS) loss function for classification. It uses a least square form within each stage to approximate a bounded monotonic nonconvex los...
SIAMJO
2011
12 years 11 months ago
2011
Abstract. The condition number of a Gram matrix defined by a polynomial basis and a set of points is often used to measure the sensitivity of the least squares polynomial approxim...
MOR
2010
13 years 3 months ago
2010
We study the convergence properties of an alternating proximal minimization algorithm for nonconvex structured functions of the type: L(x, y) = f(x)+Q(x, y)+g(y), where f : Rn → ...
ICCV
2007
IEEE
14 years 6 months ago
2007
IEEE
We present a practical, stratified autocalibration algorithm with theoretical guarantees of global optimality. Given a projective reconstruction, the first stage of the algorithm ...