141 search results - page 5 / 29 » LOCUS: Learning Object Classes with Unsupervised Segmentatio... |
TIP
2002
13 years 7 months ago
2002
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
TNN
2008
13 years 7 months ago
2008
In this paper, we present a novel network to separate mixtures of inputs that have been previously learned. A significant capability of the network is that it segments the componen...
CVPR
2007
IEEE
14 years 1 months ago
2007
IEEE
A successful representation of objects in the literature is as a collection of patches, or parts, with a certain appearance and position. The relative locations of the different p...
ICIP
2006
IEEE
14 years 9 months ago
2006
IEEE
We propose a novel unsupervised learning algorithm to extract the layout of an image by learning latent object-related aspects. Unlike traditional image segmentation algorithms th...
ACCV
1998
Springer
13 years 11 months ago
1998
Springer
This paper isconcerned with learning the canonical gray scalestructure of the images of a classof objects. Structure is defined in terms of the geometry and layout of salientimage...