1956 search results - page 36 / 392 » Learning the Relative Importance of Features in Image Data |
ACIVS
2009
Springer
14 years 3 months ago
2009
Springer
Abstract. Feature subset selection is an important subject when training classifiers in Machine Learning (ML) problems. Too many input features in a ML problem may lead to the so-...
MLDM
1999
Springer
14 years 25 days ago
1999
Springer
Content-based image retrieval methods based on the Euclidean metric expect the feature space to be isotropic. They suer from unequal dierential relevance of features in comput...
KDD
2009
ACM
14 years 9 months ago
2009
ACM
Social media such as blogs, Facebook, Flickr, etc., presents data in a network format rather than classical IID distribution. To address the interdependency among data instances, ...
WSCG
2003
13 years 10 months ago
2003
The analysis of blood flow patterns and the interaction between salient topological flow features and cardiovascular structure plays an important role in the study of cardiovascul...
ICDE
2000
IEEE
14 years 10 months ago
2000
IEEE
In this paper, we develop and test an approach to retrieving images from an image database based on content similarity. First, each picture is divided into many overlapping region...