1956 search results - page 46 / 392 » Learning the Relative Importance of Features in Image Data |
ICCV
2005
IEEE
14 years 10 months ago
2005
IEEE
We have developed a two-phase generative / discriminative learning procedure for the recognition of classes of objects and concepts in outdoor scenes. Our method uses both multipl...
ICDM
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract—We introduce and validate Spatiotemporal Relational Random Forests, which are random forests created with spatiotemporal relational probability trees. We build on the do...
ICDM
2005
IEEE
14 years 2 months ago
2005
IEEE
We study an algorithm for feature selection that clusters attributes using a special metric and then makes use of the dendrogram of the resulting cluster hierarchy to choose the m...
FGR
2011
IEEE
13 years 10 days ago
2011
IEEE
— Many modern computer vision algorithms are built atop of a set of low-level feature operators (such as SIFT [1], [2]; HOG [3], [4]; or LBP [5], [6]) that transform raw pixel va...
Publication
Road scene segmentation is important in computer vision for different applications such as autonomous driving and pedestrian detection. Recovering the 3D structure of road scenes ...