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» Information Geometry of Neural Networks
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NIPS
2007
15 years 5 months ago
An in-silico Neural Model of Dynamic Routing through Neuronal Coherence
We describe a neurobiologically plausible model to implement dynamic routing using the concept of neuronal communication through neuronal coherence. The model has a three-tier arc...
Devarajan Sridharan, Brian Percival, John V. Arthu...
ICAISC
2004
Springer
15 years 9 months ago
Visualizing and Analyzing Multidimensional Output from MLP Networks via Barycentric Projections
Barycentric plotting, achieved by placing gaussian kernels in distant corners of the feature space and projecting multidimensional output of neural network on a plane, provides inf...
Filip Piekniewski, Leszek Rybicki
118
Voted
ICANN
2007
Springer
15 years 10 months ago
Input Selection for Radial Basis Function Networks by Constrained Optimization
Input selection in the nonlinear function approximation is important and difficult problem. Neural networks provide good generalization in many cases, but their interpretability is...
Jarkko Tikka
154
Voted
IMR
2004
Springer
15 years 9 months ago
Identification and Preservation of Surface Features
A surface is often approximated by a network of triangular facets. In the absence of a precise mathematical description of the underlying surface all information about surface pro...
Timothy J. Baker
145
Voted
ICANN
2010
Springer
15 years 4 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