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» Bayesian multiscale analysis for time series data
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FSS
2008
126views more  FSS 2008»
13 years 6 months ago
Linguistic summarization of time series using a fuzzy quantifier driven aggregation
We propose new types of linguistic summaries of time-series data that extend those proposed in our previous papers. The proposed summaries of time series refer to the summaries of...
Janusz Kacprzyk, Anna Wilbik, Slawomir Zadrozny
ICASSP
2011
IEEE
12 years 11 months ago
Sparse graphical modeling of piecewise-stationary time series
Graphical models are useful for capturing interdependencies of statistical variables in various fields. Estimating parameters describing sparse graphical models of stationary mul...
Daniele Angelosante, Georgios B. Giannakis
CIKM
2008
Springer
13 years 9 months ago
Multi-scale characterization of social network dynamics in the blogosphere
We have developed a computational framework to characterize social network dynamics in the blogosphere at individual, group and community levels. Such characterization could be us...
Munmun De Choudhury, Hari Sundaram, Ajita John, Do...
KDD
2009
ACM
364views Data Mining» more  KDD 2009»
14 years 8 months ago
Causality quantification and its applications: structuring and modeling of multivariate time series
Time series prediction is an important issue in a wide range of areas. There are various real world processes whose states vary continuously, and those processes may have influenc...
Takashi Shibuya, Tatsuya Harada, Yasuo Kuniyoshi
MICCAI
2004
Springer
14 years 8 months ago
Solving Incrementally the Fitting and Detection Problems in fMRI Time Series
We tackle the problem of real-time statistical analysis of functional magnetic resonance imaging (fMRI) data. In a recent paper, we proposed an incremental algorithm based on the e...
Alexis Roche, Philippe Pinel, Stanislas Dehaene, J...