371 search results - page 30 / 75 » Learning to match and cluster large high-dimensional data se... |
ICDAR
2005
IEEE
14 years 1 months ago
2005
IEEE
Since it is extremely expensive to collect a large volume of handwriting samples, synthesized data are often used to enlarge the training set. We argue that, in order to generate ...
ICDM
2003
IEEE
14 years 29 days ago
2003
IEEE
Clustering by document concepts is a powerful way of retrieving information from a large number of documents. This task in general does not make any assumption on the data distrib...
ICDM
2006
IEEE
14 years 1 months ago
2006
IEEE
Many information integration tasks require computing similarity between pairs of objects. Pairwise similarity computations are particularly important in record linkage systems, as...
TCBB
2011
13 years 2 months ago
2011
: Extraction of meaningful information from large experimental datasets is a key element of bioinformatics research. One of the challenges is to identify genomic markers in Hepatit...
NIPS
2004
13 years 9 months ago
2004
Clustering and prediction of sets of curves is an important problem in many areas of science and engineering. It is often the case that curves tend to be misaligned from each othe...