185 search results - page 1 / 37 » Learning with Few Examples by Transferring Feature Relevance |
DAGM
2009
Springer
13 years 11 months ago
2009
Springer
The human ability to learn difficult object categories from just a few views is often explained by an extensive use of knowledge from related classes. In this work we study the use...
CVPR
2010
IEEE
14 years 15 days ago
2010
IEEE
Learning object categories from small samples is a challenging problem, where machine learning tools can in general provide very few guarantees. Exploiting prior knowledge may be ...
VMV
2008
13 years 5 months ago
2008
Machine learning with few training examples always leads to over-fitting problems, whereas human individuals are often able to recognize difficult object categories from only one ...
CVPR
2008
IEEE
14 years 6 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...
TAL
2004
Springer
13 years 9 months ago
2004
Springer
In our research, we have developed a transfer-based machine translation architecture for the translation from Japanese into German. One main feature of the system is the fully auto...