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» Information Geometry of Neural Networks
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IWANN
2005
Springer
15 years 9 months ago
Manifold Constrained Finite Gaussian Mixtures
In many practical applications, the data is organized along a manifold of lower dimension than the dimension of the embedding space. This additional information can be used when le...
Cédric Archambeau, Michel Verleysen
KES
2004
Springer
15 years 9 months ago
Towards Cortex Sized Artificial Nervous Systems
We characterize the size and complexity of the mammalian cortices of human, macaque, cat, rat, and mouse. We map the cortical structure onto a Bayesian confidence propagating neura...
Christopher Johansson, Anders Lansner
KBS
2002
150views more  KBS 2002»
15 years 3 months ago
When eigenfaces are combined with wavelets
This paper presents a novel and interesting combination of wavelet techniques and eigenfaces to extract features for face recognition. Eigenfaces reduce the dimensions of face vec...
Li Bai, Yihui Liu
APIN
1999
107views more  APIN 1999»
15 years 3 months ago
Massively Parallel Probabilistic Reasoning with Boltzmann Machines
We present a method for mapping a given Bayesian network to a Boltzmann machine architecture, in the sense that the the updating process of the resulting Boltzmann machine model pr...
Petri Myllymäki
NN
2006
Springer
141views Neural Networks» more  NN 2006»
15 years 3 months ago
Encoding uncertainty in the hippocampus
The medial temporal lobe may play a critical role in binding successive events into memory while encoding contextual information in implicit and explicit memory tasks. Information...
Lee M. Harrison, Andrew Duggins, Karl J. Friston