1012 search results - page 145 / 203 » A Learning Classifier Approach to Tomography |
ISNN
2011
Springer
13 years 27 days ago
2011
Springer
This paper presents a new method that uses orthogonalized features for time series clustering and classification. To cluster or classify time series data, either original data or...
BMCBI
2007
13 years 10 months ago
2007
Background: A nanopore detector has a nanometer-scale trans-membrane channel across which a potential difference is established, resulting in an ionic current through the channel ...
ECCV
2008
Springer
14 years 12 months ago
2008
Springer
We present a novel approach to 3D delineation of dendritic networks in noisy image stacks. We achieve a level of automation beyond that of stateof-the-art systems, which model dend...
COLCOM
2005
IEEE
14 years 3 months ago
2005
IEEE
— In this paper, we show experimentally that learning filters are able to classify large corpora of spam and legitimate email messages with a high degree of accuracy. The corpor...
ICDM
2003
IEEE
14 years 3 months ago
2003
IEEE
Semi-supervised learning methods construct classifiers using both labeled and unlabeled training data samples. While unlabeled data samples can help to improve the accuracy of trai...