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» On vector autoregressive modeling in space and time
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ESANN
1998
13 years 6 months ago
Recurrent SOM with local linear models in time series prediction
Recurrent Self-Organizing Map (RSOM) is studied in three di erent time series prediction cases. RSOM is used to cluster the series into local data sets, for which corresponding lo...
Timo Koskela, Markus Varsta, Jukka Heikkonen, Kimm...
ECCV
2004
Springer
14 years 7 months ago
Spatially Homogeneous Dynamic Textures
Abstract. We address the problem of modeling the spatial and temporal second-order statistics of video sequences that exhibit both spatial and temporal regularity, intended in a st...
Gianfranco Doretto, Eagle Jones, Stefano Soatto
JMLR
2010
194views more  JMLR 2010»
13 years 3 days ago
Graphical Gaussian modelling of multivariate time series with latent variables
In time series analysis, inference about causeeffect relationships among multiple times series is commonly based on the concept of Granger causality, which exploits temporal struc...
Michael Eichler
NIPS
2001
13 years 6 months ago
Bayesian time series classification
This paper proposes an approach to classification of adjacent segments of a time series as being either of classes. We use a hierarchical model that consists of a feature extract...
Peter Sykacek, Stephen J. Roberts
ACL
1998
13 years 6 months ago
Entity-Based Cross-Document Coreferencing Using the Vector Space Model
Cross-document coreference occurs when the same person, place, event, or concept is discussed in more than one text source. Computer recognition of this phenomenon is important be...
Amit Bagga, Breck Baldwin