1443 search results - page 8 / 289 » Learning Generative Models via Discriminative Approaches |
CVPR
2012
IEEE
11 years 10 months ago
2012
IEEE
Top-down visual saliency facilities object localization by providing a discriminative representation of target objects and a probability map for reducing the search space. In this...
DMIN
2006
13 years 9 months ago
2006
The stochastic discrimination (SD) theory considers learning as building models of uniform coverage over data distributions. Despite successful trials of the derived SD method in s...
CVPR
2006
IEEE
14 years 9 months ago
2006
IEEE
We present a novel discriminative-generative hybrid approach in this paper, with emphasis on application in multiview object detection. Our method includes a novel generative mode...
EMMCVPR
2009
Springer
14 years 2 months ago
2009
Springer
Generative kernels represent theoretically grounded tools able to increase the capabilities of generative classification through a discriminative setting. Fisher Kernel is the fi...
EMNLP
2008
13 years 9 months ago
2008
A human annotator can provide hints to a machine learner by highlighting contextual "rationales" for each of his or her annotations (Zaidan et al., 2007). How can one ex...