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JMLR
2006
389views more  JMLR 2006»
13 years 5 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
SIAMCO
2008
108views more  SIAMCO 2008»
13 years 5 months ago
A Viability Theorem for Morphological Inclusions
The aim of this paper is to adapt the Viability Theorem from differential inclusions (governing the evolution of vectors in a finite dimensional space) to so-called morphological i...
Thomas Lorenz
SIAMSC
2008
179views more  SIAMSC 2008»
13 years 5 months ago
Multigrid Algorithms for Inverse Problems with Linear Parabolic PDE Constraints
Abstract. We present a multigrid algorithm for the solution of distributed parameter inverse problems constrained by variable-coefficient linear parabolic partial differential equa...
Santi S. Adavani, George Biros
TASE
2008
IEEE
13 years 5 months ago
On Clamping Planning in Workpiece-Fixture Systems
Deformation at contacts between the workpiece and locators/clamps resulting from large contact forces causes overall workpiece displacement, and affects the localization accuracy o...
Caihua Xiong, Michael Yu Wang, You-Lun Xiong
IJCV
2000
141views more  IJCV 2000»
13 years 5 months ago
Reliable Estimation of Dense Optical Flow Fields with Large Displacements
In this paper we show that a classic optical ow technique by Nagel and Enkelmann (1986) can be regarded as an early anisotropic di usion method with a di usion tensor. We introduc...
Luis Álvarez, Joachim Weickert, Javier S&aa...