HYDRA: Competing convolutional kernels for fast and accurate time series classification

03/25/2022
by   Angus Dempster, et al.
0

We demonstrate a simple connection between dictionary methods for time series classification, which involve extracting and counting symbolic patterns in time series, and methods based on transforming input time series using convolutional kernels, namely ROCKET and its variants. We show that by adjusting a single hyperparameter it is possible to move by degrees between models resembling dictionary methods and models resembling ROCKET. We present HYDRA, a simple, fast, and accurate dictionary method for time series classification using competing convolutional kernels, combining key aspects of both ROCKET and conventional dictionary methods. HYDRA is faster and more accurate than the most accurate existing dictionary methods, and can be combined with ROCKET and its variants to further improve the accuracy of these methods.

READ FULL TEXT

page 18

page 24

page 25

page 26

research
10/29/2019

ROCKET: Exceptionally fast and accurate time series classification using random convolutional kernels

Most methods for time series classification that attain state-of-the-art...
research
01/24/2023

WEASEL 2.0 – A Random Dilated Dictionary Transform for Fast, Accurate and Memory Constrained Time Series Classification

A time series is a sequence of sequentially ordered real values in time....
research
01/31/2021

MultiRocket: Effective summary statistics for convolutional outputs in time series classification

Rocket and MiniRocket, while two of the fastest methods for time series ...
research
09/28/2021

Convolutional Shapelet Transform: A new approach for time series shapelets

Shapelet-based algorithms are widely used for time series classification...
research
05/16/2023

A Dictionary-based approach to Time Series Ordinal Classification

Time Series Classification (TSC) is an extensively researched field from...
research
12/24/2021

Error-bounded Approximate Time Series Joins using Compact Dictionary Representations of Time Series

The matrix profile is an effective data mining tool that provides simila...
research
09/18/2018

From BOP to BOSS and Beyond: Time Series Classification with Dictionary Based Classifiers

A family of algorithms for time series classification (TSC) involve runn...

Please sign up or login with your details

Forgot password? Click here to reset