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MVA
2007
139views Computer Vision» more  MVA 2007»
15 years 22 days ago
A Method for Estimating Rigid Object Motion Using Regularized Scene Flow
In this paper, we propose a method for estimating object motion by three-dimensional scene flow using multiple cameras. The scene flow is regularized by applying subspace constr...
Hiroki Mizuno, Hironobu Fujiyoshi
ECML
2007
Springer
15 years 5 months ago
Fast Optimization Methods for L1 Regularization: A Comparative Study and Two New Approaches
L1 regularization is effective for feature selection, but the resulting optimization is challenging due to the non-differentiability of the 1-norm. In this paper we compare state...
Mark Schmidt, Glenn Fung, Rómer Rosales
ESANN
2008
15 years 23 days ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
AMC
2010
143views more  AMC 2010»
14 years 11 months ago
Fixed-point iterations in determining a Tikhonov regularization parameter in Kirsch's factorization method
Kirsch's factorization method is a fast inversion technique for visualizing the profile of a scatterer from measurements of the far-field pattern. The mathematical basis of t...
Koung Hee Leem, George Pelekanos, Fermín S....
MP
2008
101views more  MP 2008»
14 years 11 months ago
Accelerating the cubic regularization of Newton's method on convex problems
In this paper we propose an accelerated version of the cubic regularization of Newton's method [6]. The original version, used for minimizing a convex function with Lipschitz...
Yu. Nesterov