55 search results - page 5 / 11 » Assessing the Costs of Sampling Methods in Active Learning f... |
CVIU
2006
13 years 8 months ago
2006
In this paper we develop a system for human behaviour recognition in video sequences. Human behaviour is modelled as a stochastic sequence of actions. Actions are described by a f...
ICDAR
2009
IEEE
13 years 6 months ago
2009
IEEE
We propose a low cost method for the correction of the output of OCR engines through the use of human labor. The method employs an error estimator neural network that learns to as...
FOIKS
2008
Springer
14 years 5 months ago
2008
Springer
Supervised learning deals with the inference of a distribution over an output or label space $\CY$ conditioned on points in an observation space $\CX$, given a training dataset $D$...
ACL
2004
13 years 10 months ago
2004
In this paper, we propose a multi-criteriabased active learning approach and effectively apply it to named entity recognition. Active learning targets to minimize the human annota...
JMLR
2010
13 years 3 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 ...