92 search results - page 5 / 19 » Active Learning for Large Multi-class Problems |
CVPR
2011
IEEE
13 years 5 months ago
2011
IEEE
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
FOIKS
2008
Springer
14 years 4 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 $D$...
AAAI
2006
13 years 9 months ago
2006
Assume that we are trying to build a visual recognizer for a particular class of objects--chairs, for example--using existing induction methods. Assume the assistance of a human t...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
We propose a new active learning algorithm to address the problem of selecting a limited subset of utterances for transcribing from a large amount of unlabeled utterances so that ...
TIP
2010
13 years 5 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...