ARTMED
2002
13 years 4 months ago
2002
In bio-medical domains there are many applications involving the modelling of multivariate time series (MTS) data. One area that has been largely overlooked so far is the particul...
TSP
2008
13 years 4 months ago
2008
The contribution to a stationary complex-valued time series at a single frequency magnitude takes the form of a random ellipse, and its properties such as aspect ratio (which inclu...
TSMC
2008
13 years 4 months ago
2008
Abstract-- In this paper, we address the issue of forecasting for periodically measured nonstationary traffic based on statistical time series modeling. Often with time series base...
TMI
2008
13 years 4 months ago
2008
We propose a new method for detecting activation in functional magnetic resonance imaging (fMRI) data. We project the fMRI time series on a low-dimensional subspace spanned by wave...
TKDE
2008
13 years 4 months ago
2008
Abstract--This paper presents an investigation into the use of the delay coordinate embedding technique in the multi-inputmultioutput-adaptive-network-based fuzzy inference system ...
JBI
2007
13 years 4 months ago
2007
This paper deals with the exploration of biomedical multivariate time series to construct typical parameter evolution or scenarios. This task is known to be difficult: the tempora...
TKDE
2008
13 years 4 months ago
2008
This paper presents a time series whole clustering system that incrementally constructs a tree-like hierarchy of clusters, using a top-down strategy. The Online Divisive-Agglomera...
TKDE
2008
13 years 4 months ago
2008
With the advance of hardware and communication technologies, stream time series is gaining ever-increasing attention due to its importance in many applications such as financial da...
BMCBI
2005
13 years 4 months ago
2005
Background: Periodic phenomena are widespread in biology. The problem of finding periodicity in biological time series can be viewed as a multiple hypothesis testing of the spectr...
TIT
2008
13 years 4 months ago
2008
In the past few years, a certain number of authors have proposed analysis methods of the time series built from a long range dependence noise. One of these methods is the Detrended...