1364 search results - page 23 / 273 » Sampling Methods for Unsupervised Learning |
ICIP
2006
IEEE
16 years 19 days 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...
ICML
2005
IEEE
15 years 11 months ago
2005
IEEE
Many biological propositions can be supported by a variety of different types of evidence. It is often useful to collect together large numbers of such propositions, together with...
75
Voted
CVPR
2010
IEEE
15 years 7 months ago
2010
IEEE
We present an algorithm that learns invariant features from real data in an entirely unsupervised fashion. The principal benefit of our method is that it can be applied without hu...
IDA
2007
Springer
14 years 11 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
ICIP
2007
IEEE
15 years 2 months ago
2007
IEEE
This communication deals with data reduction and regression. A set of high dimensional data (e.g., images) usually has only a few degrees of freedom with corresponding variables t...