1956 search results - page 82 / 392 » Learning the Relative Importance of Features in Image Data |
TKDE
2010
13 years 7 months ago
2010
—A major assumption in many machine learning and data mining algorithms is that the training and future data must be in the same feature space and have the same distribution. How...
EMNLP
2009
13 years 6 months ago
2009
We present a framework to extract the most important features (tree fragments) from a Tree Kernel (TK) space according to their importance in the target kernelbased machine, e.g. ...
ICPR
2010
IEEE
14 years 3 months ago
2010
IEEE
—We propose an approach for improving object recognition and localization using spatial kernels together with instance embedding. Our approach treats each image as a bag of insta...
CVPR
2012
IEEE
11 years 11 months ago
2012
IEEE
We address the problem of weakly supervised semantic segmentation. The training images are labeled only by the classes they contain, not by their location in the image. On test im...
DAGM
2006
Springer
14 years 12 days ago
2006
Springer
Independent Component Analysis (ICA) is a frequently used preprocessing step in source localization of MEG and EEG data. By decomposing the measured data into maximally independent...