Results 281 to 290 of about 424,943 (312)

Efficient Time Series Mining Using Fractal Representation

2008 Third International Conference on Convergence and Hybrid Information Technology, 2008
As time series mining has become more prevalent and attracted much research interest, recent goals and efforts have been shifted toward scalability issue. One of the successful solutions is finding suitable representation of the data via dimensionality reduction. In this work, we introduce a novel fractal representation for time series data, which uses
Poat Sajjipanon, Chotirat Ann Ratanamahatana   +1 more
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z-Transform Representation of Time Series

2000
If a function x (t) is sampled at equidistant intervals Δt at times t = nΔt, n = …, −1,0,1,2,…, a discrete sequence of values x(nΔt) is obtained. To simplify the notation, the values x(nΔt) are represented by the index notation $$ {x_{n}} = x\left( {n\Delta t} \right),n = \ldots , - 1,0,1,2 \ldots $$ (6.1)
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Vector Time Series and Model Representations

1993
We study models that describe relationships among a vector of k time series variables Y1t, Y2t, …, Ykt of interest. Such multivariate processes arise when several related time series processes are observed simultaneously over time, instead of observing just a single series as is the case in univariate time series analysis.
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Time series classification with their image representation

Neurocomputing
The study is concerned with the problem of classification of multivariate time series using convolutional neural networks (CNNs). As CNNs regard inputs in the form of images, an original image -like format of temporal data is proposed. Along this line, several design alternatives are studied by forming images with the two corresponding coordinates ...
Władysław Homenda, Agnieszka Jastrzębska, Witold Pedrycz, Mariusz Wrzesień   +3 more
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Analysing Time Series using Symbolic Representations

Topics on Chaotic Systems, 2009
Monetti, R., Bunk, W., Jamitzky, F.
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Time Series Representation: A Random Shifting Perspective

2013
A long standing challenge for time series analysis is to develop representation techniques for dimension reduction while still preserving their fundamental features. As an effective representation technique, Symbolic Aggregate Approximation (SAX) has been widely used for dimension reduction in time series analysis.
Xue Bai, Yun Xiong, Yangyong Zhu, Hengshu Zhu   +3 more
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Hand Geometry Verification Using Time Series Representation

2007
Biometric authentication based on human physical traits has recently been heavily studied; these biometric sources include face, hand geometry, voice, fingerprint, iris, retina, etc. The hand geometry is one of the most conventional biometric since it is fairly easy to implement and acquire the data, comparing to other biometrics such as retina, iris ...
Vit Niennattrakul, Dachawut Wanichsan, Chotirat Ann Ratanamahatana   +2 more
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Time-series Representations

1996
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Symbolic Representation for Time Series

2024 32nd European Signal Processing Conference (EUSIPCO)
Sylvain W. Combettes, Charles Truong, Laurent Oudre   +2 more
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Real-Time Time-Dependent Electronic Structure Theory

Chemical Reviews, 2020
Xiaosong Li, Niranjan Govind, Christine Isborn   +2 more
exaly