66 search results - page 1 / 14 » Latent Layout Analysis for Discovering Objects in Images |
ICPR
2006
IEEE
14 years 5 months ago
2006
IEEE
Latent Layout Analysis (LLA) is a novel unsupervised learning technique to discover objects in unseen images using a set of un-annotated training images. LLA defines a generative ...
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...
CIVR
2008
Springer
13 years 6 months ago
2008
Springer
In information retrieval, sub-space techniques are usually used to reveal the latent semantic structure of a data-set by projecting it to a low dimensional space. Non-negative mat...
ICWSM
2009
13 years 2 months ago
2009
The advent of social tagging systems has enabled a new community-based view of the Web in which objects like images, videos, and Web pages are annotated by thousands of users. Und...
ECCV
2006
Springer
14 years 6 months ago
2006
Springer
Given a set of images of scenes containing multiple object categories (e.g. grass, roads, buildings) our objective is to discover these objects in each image in an unsupervised man...