79 search results - page 3 / 16 » Unsupervised learning for image classification based on dist... |
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Building robust low and mid-level image representations, beyond edge primitives, is a long-standing goal in vision. Many existing feature detectors spatially pool edge information...
NIPS
2004
13 years 8 months ago
2004
Capturing dependencies in images in an unsupervised manner is important for many image processing applications. We propose a new method for capturing nonlinear dependencies in ima...
ICML
2009
IEEE
14 years 8 months ago
2009
IEEE
A key aspect of semantic image segmentation is to integrate local and global features for the prediction of local segment labels. We present an approach to multi-class segmentatio...
AIPR
2002
IEEE
14 years 12 days ago
2002
IEEE
Conventional remote sensing classification techniques that model the data in each class with a multivariate Gaussian distribution are inefficient, as this assumption is generally ...
ECCV
2008
Springer
13 years 9 months ago
2008
Springer
We present a novel method for unsupervised classification, including the discovery of a new category and precise object and part localization. Given a set of unlabelled images, som...