32 search results - page 1 / 7 » Fixed-rank representation for unsupervised visual learning |
CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
Subspace clustering and feature extraction are two of the most commonly used unsupervised learning techniques in computer vision and pattern recognition. State-of-theart technique...
ICANN
2010
Springer
13 years 5 months ago
2010
Springer
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...
ICML
2009
IEEE
14 years 5 months ago
2009
IEEE
There has been much interest in unsupervised learning of hierarchical generative models such as deep belief networks. Scaling such models to full-sized, high-dimensional images re...
CVPR
2012
IEEE
11 years 6 months ago
2012
IEEE
We study unsupervised learning of occluding objects in images of visual scenes. The derived learning algorithm is based on a probabilistic generative model which parameterizes obj...
IJPRAI
2008
13 years 4 months ago
2008
unsupervised construction of topological maps, which provide an abstraction of the environment in terms of visual aspects. An unsupervised clustering algorithm is used to represent...