1484 search results - page 105 / 297 » Semi-supervised Learning from General Unlabeled Data |
HRI
2006
ACM
14 years 1 months ago
2006
ACM
We present a method of grounded word learning that is powerful enough to learn the meanings of first and second person pronouns. The model uses the understood words in an utteran...
NIPS
1992
13 years 9 months ago
1992
How can artificial neural nets generalize better from fewer examples? In order to generalize successfully, neural network learning methods typically require large training data se...
ICMCS
2008
IEEE
14 years 2 months ago
2008
IEEE
Several stochastic models provide an effective framework to identify the temporal structure of audiovisual data. Most of them need as input a first video structure, i.e. connecti...
UCS
2007
Springer
14 years 2 months ago
2007
Springer
Abstract. This paper describes daily life activity recognition using wearable acceleration sensors attached to four different parts of the human body. The experimental data set con...
ICCV
2009
IEEE
15 years 27 days ago
2009
IEEE
Similarity metrics that are learned from labeled training
data can be advantageous in terms of performance
and/or efficiency. These learned metrics can then be used
in conjuncti...