Results 11 to 20 of about 52,209 (206)
Diagnosis of Mild Cognitive Impairment With Ordinal Pattern Kernel
Mild cognitive impairment (MCI) belongs to the prodromal stage of Alzheimer’s disease (AD). Accurate diagnosis of MCI is very important for possibly deferring AD progression.
Kai Ma, Shuo Huang, Daoqiang Zhang
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The estimation of the qualitative behaviour of fractional Brownian motion is an important topic for modelling real-world applications. Permutation entropy is a well-known approach to quantify the complexity of univariate time series in a scalar-valued ...
Marisa Mohr +2 more
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Short-term prediction through ordinal patterns [PDF]
Prediction in natural environments is a challenging task, and there is a lack of clarity around how a myopic organism can make short-term predictions given limited data availability and cognitive resources.
Yair Neuman, Yochai Cohen, Boaz Tamir
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The frequency of pattern occurrence in random walks [PDF]
In the past decade, the use of ordinal patterns in the analysis of time series and dynamical systems has become an important tool. Ordinal patterns (otherwise known as a permutation patterns) are found in time series by taking $n$ data points at evenly ...
Sergi Elizalde, Megan Martinez
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Permutation Entropy Based on Non-Uniform Embedding
A novel visualization scheme for permutation entropy is presented in this paper. The proposed scheme is based on non-uniform attractor embedding of the investigated time series.
Mei Tao +4 more
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CHARACTERIZATION OF SAR IMAGES WITH WEIGHTED AMPLITUDE TRANSITION GRAPHS [PDF]
We propose a new technique for SAR image texture characterization based on ordinal pattern transition graphs. The proposal consists in (i) transforming a 2-D patch of data into a time series using a Hilbert Space Filling Curve, (ii) building an Ordinal ...
E. T. C. Chagas +3 more
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Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks
In this paper, we propose a Fuzzy Window with the Gaussian Processed Label (FW-GPL) method to mitigate the overlap problem in the neighboring ordinal category when scoring images.
Cheng Kang, Xujing Yao, Daniel Novak
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Change-Point Detection Using the Conditional Entropy of Ordinal Patterns
This paper is devoted to change-point detection using only the ordinal structure of a time series. A statistic based on the conditional entropy of ordinal patterns characterizing the local up and down in a time series is introduced and investigated.
Anton M. Unakafov, Karsten Keller
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On Quasi Ordinal Diagram Systems [PDF]
The purposes of this note are the following two; we first generalize Okada-Takeuti's well quasi ordinal diagram theory, utilizing the recent result of Dershowitz-Tzameret's version of tree embedding theorem with gap conditions.
Mitsuhiro Okada, Yuta Takahashi
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Revealing system behavior from observed time series is a fundamental problem worthy of in-depth study and exploration, and has attracted extensive attention in a wide range of fields due to its wide application values.
Yun Lu +6 more
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