399 search results - page 41 / 80 » Robust Boosting for Learning from Few Examples |
UAI
2004
14 years 11 months ago
2004
Collaborative filtering is a useful technique for exploiting the preference patterns of a group of users to predict the utility of items for the active user. In general, the perfo...
CVPR
2008
IEEE
15 years 11 months ago
2008
IEEE
To learn a new visual category from few examples, prior knowledge from unlabeled data as well as previous related categories may be useful. We develop a new method for transfer le...
CORR
2000
Springer
14 years 9 months ago
2000
Springer
In real-world environments it usually is difficult to specify target operating conditions precisely, for example, target misclassification costs. This uncertainty makes building ro...
123
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CVPR
2011
IEEE
14 years 5 months ago
2011
IEEE
Head pose estimation from images has recently attracted much attention in computer vision due to its diverse applications in face recognition, driver monitoring and human computer...
117
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CVPR
2010
IEEE
15 years 1 months ago
2010
IEEE
A clustering framework within the sparse modeling and dictionary learning setting is introduced in this work. Instead of searching for the set of centroid that best fit the data, ...