In Chapter 3, a new test of hypotheses for classifying stationary time series based on bias-adjusted estimators of fitted autoregressive model is proposed. In the literature, many of the existing classification methods may achieve poor performance when dealing with relatively short time series, and ...
集成了11种基于距离度量方法,称之为elastic ensemble。 Motivation 有许多根据时间扭曲(time warp)和编辑距离(edit distance)的弹性度量方法提出。 因此第一个目标是为了统计这些方法是否真的显著比DTW好。作者在introduction直接给出答案。No 有上述的问题,leading us to the question, 我们是否需要只要用DTW就可以了,...
In this paper, we propose an innovative Transfer learning for Time series classification method. Instead of using an existing dataset from the UCR archive as the source dataset, we generated a 15,000,000 synthetic univariate time series dataset that was created using our unique synthetic time seri...
A T-CNN Time Series Classification Methoddoi:10.21203/rs.3.rs-1107199/v1Junlu WangSu LiWanting JiBaoyan Song
Several time series classification algorithms have been developed over the years. Distance based methods along with k-nearest neighbors have proven to be successful in classifying multivariate time series [14]. Plenty of research indicates Dynamic Time Warping (DTW) ...
The Echo state network (ESN) is an efficient recurrent neural network that has achieved good results in time series prediction tasks. Still, its applicatio
论文原文: "Models like Time-Frequency Consistency (TF-C) and BTSF incorporate spectral domain features to improve time series classification." 图片/公式: 傅里叶变换公式: X(f) = \int_{-\infty}^{\infty} x(t) e^{-j 2 \pi f t} dt ...
Time-series classification is an active research topic in machine learning, as it finds applications in numerous domains. The k-NN classifier, based on the discrete time warping (DTW) distance, had been shown to be competitive to many state-of-the art time-series classification methods. Neverthe...
时间序列分类总结(time-series classification) 一、传统方法(需要手工设计) 1、DTW(dynamic time warping)& KNN 2、基于特征的方法 二、深度学习 1、MLP、FCN、ResNet 2、LSTM_FCN、BiGRU-CNN 3、MC-CNN(multi-channel CNN)、MCNN(multi-scale CNN) 参考文献 &... ...
ON UCR Time Series Classification Archive 2021 SOTA! Accuracy (Test) 93.96 -2021-06 TensorFlow CPU 查看项目 Transformer- ON PhysioNet Challenge 2012 2019 SOTA! AUC 86.28% AUC Stdev 0.35% Absolute Position Encodings2021-06-查看项目 coRNN- ...