32 search results - page 2 / 7 » Fixed-rank representation for unsupervised visual learning |
NIPS
2001
13 years 6 months ago
2001
To find out how the representations of structured visual objects depend on the co-occurrence statistics of their constituents, we exposed subjects to a set of composite images wit...
MLDM
2005
Springer
13 years 10 months ago
2005
Springer
We propose an unsupervised, probabilistic method for learning visual feature hierarchies. Starting from local, low-level features computed at interest point locations, the method c...
CVPR
2009
IEEE
14 years 11 months ago
2009
IEEE
Autonomous systems which learn and utilize a limited
visual vocabulary have wide spread applications.
Enabling such systems to segment a set of cluttered scenes
into objects is ...
NECO
2010
13 years 3 months ago
2010
Neurons in the input layer of primary visual cortex in primates develop edge-like receptive fields. One approach to understanding the emergence of this response is to state that ...
CVPR
2004
IEEE
14 years 6 months ago
2004
IEEE
Can we detect low dimensional structure in high dimensional data sets of images? In this paper, we propose an algorithm for unsupervised learning of image manifolds by semidefinit...