Results 31 to 40 of about 60,377 (238)
CHARACTERIZATION OF SAR IMAGES WITH WEIGHTED AMPLITUDE TRANSITION GRAPHS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 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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Permutation Entropy Based on Non-Uniform Embedding
Entropy, 2018 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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Fuzzy Windows with Gaussian Processed Labels for Ordinal Image Scoring Tasks
Applied Sciences, 2023 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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Heliyon, 2023 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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On Quasi Ordinal Diagram Systems [PDF]
Electronic Proceedings in Theoretical Computer Science, 2019 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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Generalized ordinal patterns allowing for ties and their applications in hydrology
Computational Statistics & Data Analysis, 2022 When using ordinal patterns, which describe the ordinal structure within a data vector, the problem of ties appeared permanently. So far, model classes were used which do not allow for ties; randomization has been another attempt to overcome this problem. Often, time periods with constant values even have been counted as times of monotone increase.
Alexander Schnurr, Svenja Fischer
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Ordinal Classification: Working Definition and Detection of Ordinal Structures
IEEE Access, 2020 Ordinal classification (OC) is an important niche of supervised pattern recognition, in which the classes constitute an ordinal structure. In general, the ordinal structure can be identified, either according to the natural occurrence of the current task
Peter Bellmann, Friedhelm Schwenker
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Continuous ordinal patterns: Creating a bridge between ordinal analysis and deep learning
Chaos: An Interdisciplinary Journal of Nonlinear Science, 2023 We introduce a generalization of the celebrated ordinal pattern approach for the analysis of time series, in which these are evaluated in terms of their distance to ordinal patterns defined in a continuous way. This allows us to naturally incorporate information about the local amplitude of the data and to optimize the ordinal pattern(s) to the problem
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Entropy, 2023 Individual subjects’ ratings neither are metric nor have homogeneous meanings, consequently digital- labeled collections of subjects’ ratings are intrinsically ordinal and categorical.
Emanuela Furfaro, Fushing Hsieh
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Rhesus Monkeys Have a Counting Ability and Can Count from One to Six
Brain Sciences, 2021 Counting ability is one of the many aspects of animal cognition and has enjoyed great interest over the last couple of decades. The impetus for studying counting ability in nonhuman animals has likely come from more than a general interest in animal ...
Weiming Sun, Baoming Li, Chaolin Ma
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