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» Recursive Algorithms of Time Series Observations Recognition
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INFORMATICALT
2000
82views more  INFORMATICALT 2000»
13 years 4 months ago
Recursive Algorithms of Time Series Observations Recognition
Abstract. The paper presents new method for sequential classification of the time series observations. Methods and algorithms of sequential recognition are obtained on the basis of...
Edward Shpilewski
ICPR
2002
IEEE
13 years 9 months ago
A Robust Algorithm for Probabilistic Human Recognition From
Human recognition from video requires solving the two tasks, recognition and tracking, simultaneously. This leads to a parameterized time series state space model, representing bo...
Shaohua Kevin Zhou, Rama Chellappa
CSDA
2006
191views more  CSDA 2006»
13 years 4 months ago
Forecasting daily time series using periodic unobserved components time series models
We explore a periodic analysis in the context of unobserved components time series models that decompose time series into components of interest such as trend, seasonal and irregu...
Siem Jan Koopman, Marius Ooms
ATAL
2007
Springer
13 years 11 months ago
Automatic annotation of team actions in observations of embodied agents
Recognizing and annotating the occurrence of team actions in observations of embodied agents has applications in surveillance and in training of military or sport teams. We descri...
Linus J. Luotsinen, Hans Fernlund, Ladislau Bö...
IPMU
2010
Springer
13 years 8 months ago
Short-Time Prediction Based on Recognition of Fuzzy Time Series Patterns
This article proposes knowledge-based short-time prediction methods for multivariate streaming time series, relying on the early recognition of local patterns. A parametric, well-i...
Gernot Herbst, Steffen F. Bocklisch