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ICDM
2002
IEEE
133views Data Mining» more  ICDM 2002»
13 years 9 months ago
Estimating the number of segments in time series data using permutation tests
Segmentation is a popular technique for discovering structure in time series data. We address the largely open problem of estimating the number of segments that can be reliably di...
Kari Vasko, Hannu Toivonen
BMCBI
2006
123views more  BMCBI 2006»
13 years 4 months ago
Permutation test for periodicity in short time series data
Background: Periodic processes, such as the circadian rhythm, are important factors modulating and coordinating transcription of genes governing key metabolic pathways. Theoretica...
Andrey A. Ptitsyn, Sanjin Zvonic, Jeffrey M. Gimbl...
ICMLA
2008
13 years 6 months ago
A Bayesian Approach to Switching Linear Gaussian State-Space Models for Unsupervised Time-Series Segmentation
Time-series segmentation in the fully unsupervised scenario in which the number of segment-types is a priori unknown is a fundamental problem in many applications. We propose a Ba...
Silvia Chiappa
ICML
2007
IEEE
14 years 5 months ago
Modeling changing dependency structure in multivariate time series
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Xiang Xuan, Kevin P. Murphy
TIP
2008
69views more  TIP 2008»
13 years 4 months ago
An Efficient Phase and Object Estimation Scheme for Phase-Diversity Time Series Data
We present a two-stage method for obtaining both phase and object estimates from phase-diversity time series data. In the first stage, the phases are estimated for each time frame...
Johnathan M. Bardsley