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» Gradient Convergence in Gradient methods with Errors
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AUTOMATICA
2008
82views more  AUTOMATICA 2008»
13 years 7 months ago
Iterative minimization of H2 control performance criteria
Data-based control design methods most often consist of iterative adjustment of the controller's parameters towards the parameter values which minimize an H2 performance crit...
Alexandre S. Bazanella, Michel Gevers, Ljubisa Mis...
SIAMNUM
2010
127views more  SIAMNUM 2010»
13 years 2 months ago
The Discrete Duality Finite Volume Method for Convection-diffusion Problems
In this paper we extend the discrete duality finite volume (DDFV) formulation to the steady convection-diffusion equation. The discrete gradients defined in DDFV are used to define...
Yves Coudière, Gianmarco Manzini
JMLR
2012
11 years 10 months ago
Krylov Subspace Descent for Deep Learning
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
Oriol Vinyals, Daniel Povey
MOC
1998
66views more  MOC 1998»
13 years 7 months ago
Nonconforming finite element approximation of crystalline microstructure
Abstract. We consider a class of nonconforming finite element approximations of a simply laminated microstructure which minimizes the nonconvex variational problem for the deforma...
Bo Li, Mitchell Luskin
VMV
2000
121views Visualization» more  VMV 2000»
13 years 8 months ago
Silhouette-Based Multiple-View Camera Calibration
In this paper, we present an efficient method for calibrating many camera views simultaneously. We derive an error function based on the mutual consistency of the object silhouett...
Prashant Ramanathan, Eckehard G. Steinbach, Bernd ...