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DCC
2005
IEEE
15 years 9 months ago
The Markov Expert for Finding Episodes in Time Series
We describe a domain-independent, unsupervised algorithm for refined segmentation of time series data into meaningful episodes, focusing on the problem of text segmentation. The V...
Jimming Cheng, Michael Mitzenmacher
APIN
2008
305views more  APIN 2008»
14 years 9 months ago
A generalized model for financial time series representation and prediction
Abstract Traditional financial analysis systems utilize lowlevel price data as their analytical basis. For example, a decision-making system for stock predictions regards raw price...
Depei Bao
ESWS
2008
Springer
14 years 11 months ago
Creating and Using Geospatial Ontology Time Series in a Semantic Cultural Heritage Portal
Content annotations in semantic cultural heritage portals commonly make spatiotemporal references to historical regions and places using names whose meanings are different in diffe...
Tomi Kauppinen, Jari Väätäinen, Eer...
IOR
2010
92views more  IOR 2010»
14 years 8 months ago
Series Expansions for Continuous-Time Markov Processes
We present exchange formulas that allow to express the stationary distribution of a continuous Markov chain with denumerable state-space having generator matrix Q∗ through a con...
Bernd Heidergott, Arie Hordijk, Nicole Leder
CVPR
1999
IEEE
15 years 11 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...