ESANN
2004
13 years 6 months ago
2004
The twin of this paper, "Forbidden Magnification? I." [1], presents systematic SOM simulations with the explicit magnification control scheme of Bauer, Der, and Herrmann ...
ESANN
2004
13 years 6 months ago
2004
The classification problem of determining if a surveillance camera sees persons is tackled with two neural models: the Self-Organizing Map (SOM) with supervision as in a classical ...
ESANN
2004
13 years 6 months ago
2004
Abstract. In the context of nonlinear regression, we consider the problem of explaining a variable y from a vector x of explanatory variables and from a vector t of conditionning v...
ESANN
2004
13 years 6 months ago
2004
This paper is based on a new way for determining the regularization trade-off in least squares support vector machines (LS-SVMs) via a mechanism of additive regularization which ha...
ESANN
2004
13 years 6 months ago
2004
: The contribution concerns the design of a generalised functional-link neural network with internal dynamics and its applicability to system identification by means of multi-input...
ESANN
2004
13 years 6 months ago
2004
An overview of research on the implementation of neural systems is presented in this paper. We focus on implementations where the algorithms and their physical support are tightly ...
ESANN
2004
13 years 6 months ago
2004
: The architecture of a complete image segmentation system and the development of an embedded VLSI low-power integrated circuit are reported. A neuromorphic engineering approach is...
ESANN
2004
13 years 6 months ago
2004
Self-Organizing Maps (SOM) are very powerful tools for data mining, in particular for visualizing the distribution of the data in very highdimensional data sets. Moreover, the 2D m...
ESANN
2004
13 years 6 months ago
2004
Abstract. This paper proposes a new sliding mode controller using neural networks. Multilayer neural networks with the error back-propagation learning algorithm are used to compens...
ESANN
2004
13 years 6 months ago
2004
In this paper we describe a neural network-based method aimed at automatically calibrating the detector module contained in a scanner for a highresolution positron emission tomogra...