95 search results - page 1 / 19 » Unsupervised learning of high-order structural semantics fro... |
ICCV
2009
IEEE
13 years 2 months ago
2009
IEEE
Structural semantics are fundamental to understanding both natural and man-made objects from languages to buildings. They are manifested as repeated structures or patterns and are...
CVPR
2007
IEEE
13 years 11 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 6 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...
NIPS
2004
13 years 6 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...
MM
2005
ACM
13 years 10 months ago
2005
ACM
Latent Semantic Analysis (LSA) has shown encouraging performance for the problem of unsupervised image automatic annotation. LSA conducts annotation by keywords propagation on a l...