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» A Bayesian Local Linear Wavelet Neural Network
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ICANN
1997
Springer
13 years 11 months ago
Topology Representing Networks for Intrinsic Dimensionality Estimation
Abstract. In this paper we compare two methods for intrinsic dimensionality (ID) estimation based on optimally topology preserving maps (OTPMs). The rst one is a direct approach, w...
Jörg Bruske, Gerald Sommer
IJCNN
2007
IEEE
14 years 1 months ago
Symmetric Kernel Detector for Multiple-Antenna Aided Beamforming Systems
— We propose a powerful symmetric kernel classifier for nonlinear detection in challenging rank-deficient multipleantenna aided communication systems. By exploiting the inheren...
Sheng Chen, Andreas Wolfgang, Chris J. Harris, Laj...
ECCV
2000
Springer
14 years 9 months ago
Non-linear Bayesian Image Modelling
In recent years several techniques have been proposed for modelling the low-dimensional manifolds, or `subspaces', of natural images. Examples include principal component anal...
Christopher M. Bishop, John M. Winn
NN
2006
Springer
127views Neural Networks» more  NN 2006»
13 years 7 months ago
Assessing self organizing maps via contiguity analysis
- Contiguity Analysis is a straightforward generalization of Linear Discriminant Analysis in which the partition of elements is replaced by a more general graph structure. Applied ...
Ludovic Lebart
ICANN
2005
Springer
14 years 1 months ago
Self Organizing Map (SOM) Approach for Classification of Power Quality Events
In this work, Self Organizing Map (SOM) is used in order to classify the types of defections in electrical systems, known as Power Quality (PQ) events. The features for classificat...
Emin Germen, Dogãn Gökhan Ece, Öm...