1575 search results - page 1 / 315 » Unsupervised Learning of Models for Recognition |
83
Voted
SSPR
2004
Springer
15 years 3 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...
92
Voted
CVPR
2008
IEEE
16 years 8 days 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...
92
Voted
ECCV
2000
Springer
16 years 4 days 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...
99
Voted
CVPR
2003
IEEE
16 years 8 days 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...
102
Voted
ACIIDS
2010
IEEE
15 years 3 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...