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» Unsupervised Learning of Visual Feature Hierarchies
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HCI
2007
14 years 11 months ago
OntoGen: Semi-automatic Ontology Editor
In this paper we present a semi-automatic ontology editor as implemented in a new version of OntoGen system. The system integrates machine learning and text mining algorithms into ...
Blaz Fortuna, Marko Grobelnik, Dunja Mladenic
IROS
2009
IEEE
126views Robotics» more  IROS 2009»
15 years 4 months ago
Hierarchical appearance-based classifiers for qualitative spatial localization
—This paper presents a novel appearance-based technique for qualitative spatial localization. A vocabulary of visual words is built automatically, representing local features tha...
Ehsan Fazl Ersi, James H. Elder, John K. Tsotsos
103
Voted
SLSFS
2005
Springer
15 years 2 months ago
Constructing Visual Models with a Latent Space Approach
We propose the use of latent space models applied to local invariant features for object classification. We investigate whether using latent space models enables to learn patterns...
Florent Monay, Pedro Quelhas, Daniel Gatica-Perez,...
ACCV
2010
Springer
14 years 4 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
ICANN
2005
Springer
15 years 3 months ago
Image Segmentation by Complex-Valued Units
Spike synchronisation and de-synchronisation are important for feature binding and separation at various levels in the visual system. We present a model of complex valued neuron ac...
Cornelius Weber, Stefan Wermter