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NC
1998
102views Neural Networks» more  NC 1998»
15 years 7 months ago
Outliers and Bayesian Inference
In this paper we report about an investigation in which we studied the properties of Bayes' inferred neural network classifiers in the context of outlier detection. The proble...
Peter Sykacek
ICANN
2010
Springer
15 years 7 months ago
Learning Invariant Visual Shape Representations from Physics
3D shape determines an object's physical properties to a large degree. In this article, we introduce an autonomous learning system for categorizing 3D shape of simulated objec...
Mathias Franzius, Heiko Wersing
ICANN
2010
Springer
15 years 7 months ago
Evaluation of Pooling Operations in Convolutional Architectures for Object Recognition
Abstract. A common practice to gain invariant features in object recognition models is to aggregate multiple low-level features over a small neighborhood. However, the differences ...
Dominik Scherer, Andreas Müller, Sven Behnke
ICANN
2010
Springer
15 years 7 months ago
Classification Based on Multiple-Resolution Data View
Abstract. We examine efficacy of a classifier based on average of kernel density estimators; each estimator corresponds to a different data "resolution". Parameters of th...
Mateusz Kobos, Jacek Mandziuk
CORR
2010
Springer
173views Education» more  CORR 2010»
15 years 5 months ago
A framework for proving the self-organization of dynamic systems
Abstract. This paper aims at providing a rigorous definition of selforganization, one of the most desired properties for dynamic systems (e.g., peer-to-peer systems, sensor networ...
Emmanuelle Anceaume, Xavier Défago, Maria P...