165 search results - page 5 / 33 » Selection of Object Recognition Methods According to the Tas... |
CVPR
2008
IEEE
14 years 8 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...
EVOW
2007
Springer
13 years 10 months ago
2007
Springer
This paper presents a linear genetic programming approach, that solves simultaneously the region selection and feature extraction tasks, that are applicable to common image recogni...
GECCO
2007
Springer
14 years 26 days ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
BMCBI
2008
13 years 6 months ago
2008
Background: Feature selection is a pattern recognition approach to choose important variables according to some criteria in order to distinguish or explain certain phenomena (i.e....
CVPR
2003
IEEE
13 years 12 months ago
2003
IEEE
Object recognition has reached a level where we can identify a large number of previously seen and known objects. However, the more challenging and important task of categorizing ...