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MCS
2006
Springer
15 years 4 months ago
Variable projections neural network training
8 The training of some types of neural networks leads to separable non-linear least squares problems. These problems may be9 ill-conditioned and require special techniques. A robus...
V. Pereyra, G. Scherer, F. Wong
JC
2002
63views more  JC 2002»
15 years 3 months ago
On the Complexity of Exclusion Algorithms for Optimization
Exclusion algorithms are a well-known tool in the area of interval analysis for finding all solutions of a system of nonlinear equations or for finding the global minimum of a fun...
Eugene L. Allgower, Melissa Erdmann, Kurt Georg
CVPR
2009
IEEE
16 years 11 months ago
An Empirical Bayes Approach to Contextual Region Classification
This paper presents a nonparametric approach to labeling of local image regions that is inspired by recent developments in information-theoretic denoising. The chief novelty of ...
Svetlana Lazebnik (UNC Chapel Hill), Maxim Raginsk...
ICASSP
2008
IEEE
15 years 10 months ago
Mutual features for robust identification and verification
Noisy or distorted video/audio training sets represent constant challenges in automated identification and verification tasks. We propose the method of Mutual Interdependence An...
Heiko Claussen, Justinian Rosca, Robert I. Damper
ICSM
2002
IEEE
15 years 9 months ago
Constructing Precise Object Relation Diagrams
The Object Relation Diagram (ORD) of a program is a class interdependence diagram which has applications in a wide variety of software engineering problems (e.g., integration test...
Ana Milanova, Atanas Rountev, Barbara G. Ryder