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GECCO
2003
Springer
153views Optimization» more  GECCO 2003»
15 years 5 months ago
SEPA: Structure Evolution and Parameter Adaptation in Feed-Forward Neural Networks
Abstract. In developing algorithms that dynamically changes the structure and weights of ANN (Artificial Neural Networks), there must be a proper balance between network complexit...
Paulito P. Palmes, Taichi Hayasaka, Shiro Usui
BMVC
2002
15 years 2 months ago
Using Points at Infinity for Parameter Decoupling in Camera Calibration
We consider the problem of decoupling translation and rotation for a collection of 3D data related to 2D images by a projection. The main contribution is to show that equations de...
Jean-Yves Guillemaut, Alberto S. Aguado, John Illi...
DICTA
2009
14 years 9 months ago
Multi-projective Parameter Estimation for Sets of Homogeneous Matrices
A number of problems in computer vision require the estimation of a set of matrices, each of which is defined only up to an individual scale factor and represents the parameters of...
Wojciech Chojnacki, Rhys Hill, Anton van den Henge...
CPM
2008
Springer
154views Combinatorics» more  CPM 2008»
15 years 1 months ago
Fixed Parameter Tractable Alignment of RNA Structures Including Arbitrary Pseudoknots
We present an algorithm for computing the edit distance of two RNA structures with arbitrary kinds of pseudoknots. A main benefit of the algorithm is that, despite the problem is N...
Mathias Möhl, Sebastian Will, Rolf Backofen
HAIS
2008
Springer
15 years 27 days ago
An Evolutionary Approach for Tuning Artificial Neural Network Parameters
The widespread use of artificial neural networks and the difficult work regarding the correct specification (tuning) of parameters for a given problem are the main aspects that mot...
Leandro M. Almeida, Teresa Bernarda Ludermir