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» An Exploratory Analysis of Multiple Multivariate Time Series
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IVS
2008
121views more  IVS 2008»
14 years 10 months ago
Using treemaps for variable selection in spatio-temporal visualisation
We demonstrate and reflect upon the use of enhanced treemaps that incorporate spatial and temporal ordering for exploring a large multivariate spatio-temporal data set. The result...
Aidan Slingsby, Jason Dykes, Jo Wood
IUI
2000
ACM
15 years 2 months ago
Data exploration across temporal contexts
The ability to quickly explore and compare multiple scenarios is an important component of exploratory data analysis. Yet today’s interfaces cannot represent alternative explora...
Mark Derthick, Steven F. Roth
ICASSP
2011
IEEE
14 years 1 months ago
Multichannel EEG analysis based on multi-scale multi-information
Functional connectivity has been widely used to reveal the dependencies between signals in complex networks such as neural networks observed from electroencephalogram (EEG) data. ...
Ying Liu, Selin Aviyente
ICML
2006
IEEE
15 years 10 months ago
Hidden process models
We introduce Hidden Process Models (HPMs), a class of probabilistic models for multivariate time series data. The design of HPMs has been motivated by the challenges of modeling h...
Rebecca Hutchinson, Tom M. Mitchell, Indrayana Rus...
ISCAS
2005
IEEE
159views Hardware» more  ISCAS 2005»
15 years 3 months ago
A Fourier series-based RLC interconnect model for periodic signals
— Based on a Fourier series analysis, an analytic interconnect model is presented which is suitable for periodic signals, such as a clock signal. In this model, the far end time ...
Guoqing Chen, Eby G. Friedman