19 search results - page 1 / 4 » An Iterative Algorithm for Ontology Mapping Capable of Using... |
ESWS
2006
Springer
13 years 8 months ago
2006
Springer
We present a new iterative algorithm for ontology mapping where we combine standard string distance metrics with a structural similarity measure that is based on a vector represent...
WABI
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. With the invention of biotechnological high throughput methods like DNA microarrays, biologists are capable of producing huge amounts of data. During the analysis of such...
ICNC
2005
Springer
13 years 10 months ago
2005
Springer
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
CIBCB
2007
IEEE
13 years 8 months ago
2007
IEEE
Abstract-- The advance of high-throughput experimental technologies poses continuous challenges to computational data analysis in functional and comparative genomics studies. Gene ...
CVPR
2009
IEEE
14 years 12 months ago
2009
IEEE
Many computer vision problems can be formulated in
a Bayesian framework with Markov Random Field (MRF)
or Conditional Random Field (CRF) priors. Usually, the
model assumes that ...