227 search results - page 4 / 46 » Feature Learning for Recognition with Bayesian Networks |
MICAI
2007
Springer
14 years 1 months ago
2007
Springer
A successful interpretation of data goes through discovering crucial relationships between variables. Such a task can be accomplished by a Bayesian network. The dark side is that, ...
CVPR
2003
IEEE
14 years 9 months ago
2003
IEEE
Understanding human emotions is one of the necessary skills for the computer to interact intelligently with human users. The most expressive way humans display emotions is through...
HAIS
2010
Springer
2010
Springer
A Dynamic Bayesian Network Based Structural Learning towards Automated Handwritten Digit Recognition
13 years 7 months ago
PRL
2006
13 years 7 months ago
2006
This paper studies two types of spatial relationships that can be learned from training examples for object recognition. The first one employs deformable relationships between obj...
MICAI
2010
Springer
13 years 6 months ago
2010
Springer
Several methods have been presented in the literature that successfully used SIFT features for object identification, as they are reasonably invariant to translation, rotation, sc...