2363 search results - page 16 / 473 » Learning Algorithms for Domain Adaptation |
JMLR
2010
13 years 2 months ago
2010
An exceedingly large number of scientific and engineering fields are confronted with the need for computer simulations to study complex, real world phenomena or solve challenging ...
ICML
2007
IEEE
14 years 8 months ago
2007
IEEE
Many robot control problems of practical importance, including operational space control, can be reformulated as immediate reward reinforcement learning problems. However, few of ...
CVPR
2011
IEEE
13 years 2 months ago
2011
IEEE
In real-world applications, “what you saw” during training is often not “what you get” during deployment: the distribution and even the type and dimensionality of features...
ECCV
2010
Springer
13 years 8 months ago
2010
Springer
Abstract. Domain adaptation is an important emerging topic in computer vision. In this paper, we present one of the first studies of domain shift in the context of object recogniti...
DAGM
2011
Springer
12 years 7 months ago
2011
Springer
The supervised learning paradigm assumes in general that both training and test data are sampled from the same distribution. When this assumption is violated, we are in the setting...