30 search results - page 1 / 6 » Removing Statistical Biases in Unsupervised Sequence Learnin... |
IDA
2005
Springer
13 years 10 months ago
2005
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize the...
IDA
2007
Springer
13 years 4 months ago
2007
Springer
Unsupervised sequence learning is important to many applications. A learner is presented with unlabeled sequential data, and must discover sequential patterns that characterize th...
NIPS
2004
13 years 6 months ago
2004
The correction of bias in magnetic resonance images is an important problem in medical image processing. Most previous approaches have used a maximum likelihood method to increase...
CORR
2007
Springer
13 years 4 months ago
2007
Springer
Data mining allows the exploration of sequences of phenomena, whereas one usually tends to focus on isolated phenomena or on the relation between two phenomena. It offers invaluab...
ICIP
2003
IEEE
14 years 6 months ago
2003
IEEE
We present algorithms for automatic feature selection for unsupervised structure discovery from video sequences. Feature selection in this scenario is hard because of the absence ...