We develop new techniques for time series classification based on hierarchical Bayesian generative models (called mixed-effect models) and the Fisher kernel derived from them. A k...
The performance of supervised learners depends on the presence of a relatively large labeled sample. This paper proposes an automatic ongoing learning system, which is able to inco...
We describe the integration of a structuredtext retrieval system (TextMachine) into an object-oriented database system (OpenODB). We use the external function capability of the da...
: The performance potential of multistatic sonar operations has been investigated by several research institutes and proven in numerous international sea trials during the last yea...
Background: The invariant lineage of the nematode Caenorhabditis elegans has potential as a powerful tool for the description of mutant phenotypes and gene expression patterns. We...
Thomas J. Boyle, Zhirong Bao, John I. Murray, Carl...