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ARTMED
2002
92views more  ARTMED 2002»
14 years 8 days ago
Predicting glaucomatous visual field deterioration through short multivariate time series modelling
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...
Stephen Swift, Xiaohui Liu
TSP
2008
67views more  TSP 2008»
14 years 9 days ago
Kinematics of Complex-Valued Time Series
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...
Patrick Rubin-Delanchy, Andrew T. Walden
TSMC
2008
102views more  TSMC 2008»
14 years 9 days ago
Generalized Cost-Function-Based Forecasting for Periodically Measured Nonstationary Traffic
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...
Balaji Krithikaivasan, Yong Zeng, Deep Medhi
TMI
2008
136views more  TMI 2008»
14 years 9 days ago
Classification of fMRI Time Series in a Low-Dimensional Subspace With a Spatial Prior
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...
François G. Meyer, Xilin Shen
TKDE
2008
130views more  TKDE 2008»
14 years 9 days ago
Chaotic Time Series Prediction Using a Neuro-Fuzzy System with Time-Delay Coordinates
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 ...
Jun Zhang, Henry Shu-Hung Chung, Wai-Lun Lo
JBI
2007
14 years 9 days ago
Knowledge construction from time series data using a collaborative exploration system
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...
Thomas Guyet, Catherine Garbay, Michel Dojat
TKDE
2008
158views more  TKDE 2008»
14 years 9 days ago
Hierarchical Clustering of Time-Series Data Streams
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...
Pedro Pereira Rodrigues, João Gama, Jo&atil...
TKDE
2008
178views more  TKDE 2008»
14 years 9 days ago
Efficient Similarity Search over Future Stream Time Series
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...
Xiang Lian, Lei Chen 0002
BMCBI
2005
120views more  BMCBI 2005»
14 years 9 days ago
Robust detection of periodic time series measured from biological systems
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...
Miika Ahdesmäki, Harri Lähdesmäki, ...
TIT
2008
119views more  TIT 2008»
14 years 9 days ago
Asymptotic Properties of the Detrended Fluctuation Analysis of Long-Range-Dependent Processes
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...
Jean-Marc Bardet, Imen Kammoun