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» The complexity of stochastic sequences
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AIIA
2007
Springer
15 years 6 months ago
Structured Hidden Markov Model: A General Framework for Modeling Complex Sequences
Structured Hidden Markov Model (S-HMM) is a variant of Hierarchical Hidden Markov Model that shows interesting capabilities of extracting knowledge from symbolic sequences. In fact...
Ugo Galassi, Attilio Giordana, Lorenza Saitta
ICASSP
2007
IEEE
15 years 6 months ago
Fast Search of Sequences with Complex Symbol Correlations using Profile Context-Sensitive HMMS and Pre-Screening Filters
Recently, profile context-sensitive HMMs (profile-csHMMs) have been proposed which are very effective in modeling the common patterns and motifs in related symbol sequences. Pro...
Byung-Jun Yoon, P. P. Vaidyanathan
ICDE
2008
IEEE
162views Database» more  ICDE 2008»
16 years 1 months ago
Querying Complex Spatio-Temporal Sequences in Human Motion Databases
Content-based retrieval of spatio-temporal patterns from human motion databases is inherently nontrivial since finding effective distance measures for such data is difficult. These...
Yueguo Chen, Shouxu Jiang, Beng Chin Ooi, Anthony ...
ICIP
2003
IEEE
16 years 1 months ago
Towards objective performance analysis for estimation of complex motion: analytic motion modeling, filter optimization, and test
This paper deals with several aspects towards a more objective performance analysis of low-level motion analysis. A generalized spatiotemporal filter formulation and motion modeli...
Bernd Jähne, Christoph S. Garbe
DASFAA
2005
IEEE
136views Database» more  DASFAA 2005»
15 years 5 months ago
Distributed Intersection Join of Complex Interval Sequences
In many different application areas, e.g. space observation systems or engineering systems of world-wide operating companies, there is a need for an efficient distributed intersect...
Hans-Peter Kriegel, Peter Kunath, Martin Pfeifle, ...