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A Metric Learning-Based Univariate Time Series Classification Method
Information, 2020 High-dimensional time series classification is a serious problem. A similarity measure based on distance is one of the methods for time series classification.
Kuiyong Song, Nianbin Wang, Hongbin Wang
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Skewed Time Series Classification Algorithm Based on Persistent Homology [PDF]
Jisuanji gongchengTo address the limitations of traditional time series classification algorithms to extract high-dimensional topological information and temporal sequence information, this paper proposes a skewed time series classification algorithm based on persistent ...
YAN Yinkai, PENG Ningning, YI Lisha
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Classification of non‐stationary time series
Stat, 2014 AbstractIn this paper we consider the problem of classifying non‐stationary time series. The method that we introduce is based on the locally stationary wavelet paradigm and seeks to take account of the fact that there may be within‐class variation in the signals being analysed.
Krzemieniewska, Karolina +2 more
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Domain Adaptation of Time Series Classification
IEEE AccessIn the era of big data and the rapid development of sensor technology, the time series classification problem has become an important research direction in the field of data mining.
Xinli Wang, Rencheng Sun
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W-TSS: A Wavelet-Based Algorithm for Discovering Time Series Shapelets
Sensors, 2021 Many approaches to time series classification rely on machine learning methods. However, there is growing interest in going beyond black box prediction models to understand discriminatory features of the time series and their associations with outcomes ...
Kenan Li +9 more
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IEEE AccessIn this paper, we address the problem of improving time-series classification performance in graph environments. With the recent increase in graph analytics, many studies analyzing time-series within the graph domain have been introduced.
Sanghun Lee +2 more
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Automated classification of Persistent Scatterers Interferometry time series [PDF]
Natural Hazards and Earth System Sciences, 2013 We present a new method for the automatic classification of Persistent Scatters Interferometry (PSI) time series based on a conditional sequence of statistical tests.
M. Berti +3 more
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Beyond Information Distortion: Imaging Variable-Length Time Series Data for Classification
SensorsTime series data are prevalent in diverse fields such as manufacturing and sensor-based human activity recognition. In real-world applications, these data are often collected with variable sample lengths, which can pose challenges for classification ...
Hyeonsu Lee, Dongmin Shin
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An Effective Confidence-Based Early Classification of Time Series
IEEE Access, 2019 Early classification of time series aims to predict the class value of a sequence accurately as early as possible, not wait for the full-length data, which is significant in many time-sensitive applications and has attracted great interest in recent ...
Junwei Lv, Xuegang Hu, Lei Li, Peipei Li
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Structural Generative Descriptions for Time Series Classification
IEEE Transactions on Cybernetics, 2014 In this paper, we formulate a novel time series representation framework that captures the inherent data dependency of time series and that can be easily incorporated into existing statistical classification algorithms. The impact of the proposed data representation stage in the solution to the generic underlying problem of time series classification ...
Garcia-Trevino, ED, Barria, JA
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