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» Unsupervised learning of visual taxonomies
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ACCV
2010
Springer
14 years 6 months ago
Affordance Mining: Forming Perception through Action
This work employs data mining algorithms to discover visual entities that are strongly associated to autonomously discovered modes of action, in an embodied agent. Mappings are lea...
Liam Ellis, Michael Felsberg, Richard Bowden
ISVC
2010
Springer
14 years 9 months ago
Indented Pixel Tree Plots
We introduce Indented Pixel Tree Plots (IPTPs): a novel pixel-based visualization technique for depicting large hierarchies. It is inspired by the visual metaphor of indented outli...
Michael Burch, Michael Raschke, Daniel Weiskopf
ICASSP
2010
IEEE
14 years 12 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
ICANN
2010
Springer
15 years 23 days ago
A Bilinear Model for Consistent Topographic Representations
Visual recognition faces the difficult problem of recognizing objects despite the multitude of their appearances. Ample neuroscientific evidence shows that the cortex uses a topogr...
Urs Bergmann, Christoph von der Malsburg
IJON
2007
88views more  IJON 2007»
14 years 11 months ago
Information maximization in face processing
This perspective paper explores principles of unsupervised learning and how they relate to face recognition. Dependency coding and information maximization appear to be central pr...
Marian Stewart Bartlett