1091 search results - page 118 / 219 » Learning Models for Predicting Recognition Performance |
190
Voted
CVPR
2012
IEEE
13 years 5 months ago
2012
IEEE
In this paper, we tackle the problem of understanding the temporal structure of complex events in highly varying videos obtained from the Internet. Towards this goal, we utilize a...
129
Voted
NN
2007
Springer
15 years 2 months ago
2007
Springer
Echo State Networks (ESNs) have been shown to be effective for a number of tasks, including motor control, dynamic time series prediction, and memorizing musical sequences. Howeve...
118
click to vote
NIPS
1997
15 years 4 months ago
1997
There is strong evidence that face processing is localized in the brain. The double dissociation between prosopagnosia, a face recognition deficit occurring after brain damage, a...
149
Voted
TIFS
2008
15 years 3 months ago
2008
Performance of biometric-based recognition systems depends on various factors: database quality, image preprocessing, encoding techniques, etc. Given a biometric database and a se...
146
Voted
NIPS
2008
15 years 4 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...