24 search results - page 1 / 5 » Neural Models for Part-Whole Hierarchies |
NIPS
1996
13 years 9 months ago
1996
We present a connectionist method for representing images that explicitlyaddresses their hierarchicalnature. It blends data fromneuroscience about whole-object viewpoint sensitive...
JMLR
2012
11 years 10 months ago
2012
The deep Boltzmann machine is a powerful model that extracts the hierarchical structure of observed data. While inference is typically slow due to its undirected nature, we argue ...
BVAI
2005
Springer
14 years 1 months ago
2005
Springer
The human capability of recognizing objects visually is here held to be a function emerging as result of interactions between epigenetic influences and basic neural plasticity mec...
IJCAI
1997
13 years 9 months ago
1997
In this paper, we concentrate on the expressive power of hierarchical structures in neural networks. Recently, the so-called SplitNet model was introduced. It develops a dynamic n...
BC
2006
13 years 7 months ago
2006
Recruitment learning in hierarchies is an inherently unstable process (Valiant, 1994). This paper presents conditions on parameters for a feedforward network to ensure stable recru...