141 search results - page 5 / 29 » LOCUS: Learning Object Classes with Unsupervised Segmentatio... |
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TIP
2002
14 years 9 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
14 years 9 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...
77
Voted
CVPR
2007
IEEE
15 years 3 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
15 years 11 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...
77
Voted
ACCV
1998
Springer
15 years 1 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...