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» Computing and using residuals in time series models
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KDD
2000
ACM
168views Data Mining» more  KDD 2000»
13 years 11 months ago
Scaling up dynamic time warping for datamining applications
There has been much recent interest in adapting data mining algorithms to time series databases. Most of these algorithms need to compare time series. Typically some variation of ...
Eamonn J. Keogh, Michael J. Pazzani
ISBI
2007
IEEE
14 years 1 months ago
Fast Motion Imaging Using Reduced Field of View Partial Fourier MRI
Fast MR imaging techniques often exploit the redundancy present in an underlying MR image time series to compensate for k-space undersampling. When imaging motion using techniques...
Harsh K. Agarwal, Khaled Z. Abd-Elmoniem, Jerry L....
CSDA
2007
105views more  CSDA 2007»
13 years 7 months ago
Joint segmentation of wind speed and direction using a hierarchical model
The problem of detecting changes in wind speed and direction is considered. Bayesian priors, with various degrees of certainty, are used to represent relationships between the two...
Nicolas Dobigeon, Jean-Yves Tourneret
ICASSP
2011
IEEE
12 years 11 months ago
A reversible jump MCMC algorithm for Bayesian curve fitting by using smooth transition regression models
This paper proposes a Bayesian algorithm to estimate the parameters of a smooth transition regression model. With in this model, time series are divided into segments and a linear...
Matthieu Sanquer, Florent Chatelain, Mabrouka El-G...
ICASSP
2011
IEEE
12 years 11 months ago
An inner-product lower-bound estimate for dynamic time warping
In this paper, we present a lower-bound estimate for dynamic time warping (DTW) on time series consisting of multi-dimensional posterior probability vectors known as posteriorgram...
Yaodong Zhang, James R. Glass