78 search results - page 7 / 16 » Unsupervised Object Discovery: A Comparison |
KDD
2005
ACM
14 years 10 months ago
2005
ACM
Knowledge Discovery in time series usually requires symbolic time series. Many discretization methods that convert numeric time series to symbolic time series ignore the temporal ...
CVPR
2011
IEEE
13 years 6 months ago
2011
IEEE
The goal of object category discovery is to automatically identify groups of image regions which belong to some new, previously unseen category. This task is typically performed i...
WWW
2008
ACM
14 years 10 months ago
2008
ACM
In this paper, we propose a novel unsupervised approach to query segmentation, an important task in Web search. We use a generative query model to recover a query's underlyin...
ICPR
2006
IEEE
14 years 11 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 ...
CIKM
1994
Springer
14 years 1 months ago
1994
Springer
The rapid advances in computer and communication technologies, and their merger, is leading to a global information market place. It will consist of federations of very large numb...