1575 search results - page 1 / 315 » Unsupervised Learning of Models for Recognition |
SSPR
2004
Springer
13 years 10 months ago
2004
Springer
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
CVPR
2008
IEEE
14 years 6 months ago
2008
IEEE
We present a new unsupervised method to learn unified probabilistic object models (POMs) which can be applied to classification, segmentation, and recognition. We formulate this a...
ECCV
2000
Springer
14 years 6 months ago
2000
Springer
We present a method to learn object class models from unlabeled and unsegmented cluttered scenes for the purpose of visual object recognition. We focus on a particular type of mode...
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
We present a method to learn and recognize object class models from unlabeled and unsegmented cluttered scenes in a scale invariant manner. Objects are modeled as flexible constel...
ACIIDS
2010
IEEE
13 years 10 months ago
2010
IEEE
There are two main topics in this paper: (i) Vietnamese words are recognized and sentences are segmented into words by using probabilistic models; (ii) the optimum probabilistic mo...