505 search results - page 27 / 101 » Importance weighted active learning |
ICCV
2009
IEEE
15 years 1 months ago
2009
IEEE
Image auto-annotation is an important open problem in
computer vision. For this task we propose TagProp, a discriminatively
trained nearest neighbor model. Tags of test
images a...
EMNLP
2009
13 years 6 months ago
2009
Many statistical translation models can be regarded as weighted logical deduction. Under this paradigm, we use weights from the expectation semiring (Eisner, 2002), to compute fir...
HYBRID
1998
Springer
14 years 26 days ago
1998
Springer
We discuss properties of high order neurons in competitive learning. In such neurons, geometric shapes replace the role of classic `point' neurons in neural networks. Complex ...
ICML
2006
IEEE
14 years 9 months ago
2006
IEEE
When constructing a classifier from labeled data, it is important not to assign too much weight to any single input feature, in order to increase the robustness of the classifier....
GREC
2003
Springer
14 years 1 months ago
2003
Springer
This paper presents a method of online sketchy shape recognition that can adapt to different user sketching styles. The adaptation principle is based on incremental active learning...