24 search results - page 1 / 5 » Discovering Clusters in Motion Time-Series Data |
CVPR
2003
IEEE
14 years 6 months ago
2003
IEEE
FQAS
2004
Springer
13 years 8 months ago
2004
Springer
The discovery of frequently occurring patterns in a time series could be important in several application contexts. As an example, the analysis of frequent patterns in biomedical ...
ICDE
2009
IEEE
14 years 6 months ago
2009
IEEE
Discovering non-trivial matching subsequences from two time series is very useful in synthesizing novel time series. This can be applied to applications such as motion synthesis wh...
KDD
1999
ACM
13 years 9 months ago
1999
ACM
Most time series comparison algorithms attempt to discover what the members of a set of time series have in common. We investigate a di erent problem, determining what distinguish...
CBMS
2005
IEEE
13 years 10 months ago
2005
IEEE
The increasing interest in time series data mining has had surprisingly little impact on real world medical applications. Practitioners who work with time series on a daily basis ...