377 search results - page 3 / 76 » Discrete stochastic optimization using linear interpolation |
VLBV
2005
Springer
13 years 11 months ago
2005
Springer
In this paper we propose a very simple FIR pre-filter based method for near optimal least-squares linear approximation of discrete time signals. A digital pre-processing filter,...
SCALESPACE
2001
Springer
13 years 10 months ago
2001
Springer
Abstract. Gaussian convolutions are perhaps the most often used image operators in low-level computer vision tasks. Surprisingly though, there are precious few articles that descri...
SIAMNUM
2011
13 years 27 days ago
2011
In the context of mesh adaptation, Riemannian metric spaces have been used to prescribe orientation, density and stretching of anisotropic meshes. But, such structures are only con...
ICINCO
2004
13 years 7 months ago
2004
: We introduce a class of quasi-linear models for stochastic dynamics, called moment-linear stochastic systems (MLSS). We formulate MLSS and analyze their dynamics, as well as disc...
ACCV
2009
Springer
13 years 10 months ago
2009
Springer
Ill-posed linear equations are pervasive in computer vision. A popular way to solve an ill-posed problem is regularization. In this paper, we propose a new criterion for designing ...