Making time-series classification more accurate using learned constraints
CA Ratanamahatana, E Keogh - Proceedings of the 2004 SIAM international …, 2004 - SIAM
It has long been known that Dynamic Time Warping (DTW) is superior to Euclidean distance
for classification and clustering of time series. However, until lately, most research has …
for classification and clustering of time series. However, until lately, most research has …
Three myths about dynamic time warping data mining
CA Ratanamahatana, E Keogh - Proceedings of the 2005 SIAM international …, 2005 - SIAM
Abstract The Dynamic Time Warping (DTW) distance measure is a technique that has long
been known in speech recognition community. It allows a non-linear mapping of one signal …
been known in speech recognition community. It allows a non-linear mapping of one signal …
Stream monitoring under the time warping distance
Y Sakurai, C Faloutsos… - 2007 IEEE 23rd …, 2006 - ieeexplore.ieee.org
The goal of this paper is to monitor numerical streams, and to find subsequences that are
similar to a given query sequence, under the DTW (dynamic time warping) distance …
similar to a given query sequence, under the DTW (dynamic time warping) distance …
Scaling and time warping in time series querying
The last few years have seen an increasing understanding that dynamic time warping
(DTW), a technique that allows local flexibility in aligning time series, is superior to the …
(DTW), a technique that allows local flexibility in aligning time series, is superior to the …
Human hand motion prediction based on feature grouping and deep learning: Pipe skid maintenance example
Human-robot collaboration has gained popularity in various construction applications. The
key to a successful human-robot collaboration at the same construction workplace is the …
key to a successful human-robot collaboration at the same construction workplace is the …
[PDF][PDF] Ranked subsequence matching in time-series databases
Existing work on similar sequence matching has focused on either whole matching or range
subsequence matching. In this paper, we present novel methods for ranked subsequence …
subsequence matching. In this paper, we present novel methods for ranked subsequence …
Research on dynamic sign language algorithm based on sign language trajectory and key frame extraction
Y Yan, Z Li, Q Tao, C Liu… - 2019 IEEE 2nd …, 2019 - ieeexplore.ieee.org
Based on the depth information of Kinect, this paper studies the real-time dynamic sign
language recognition algorithm and improves the dynamic time warping algorithm for the …
language recognition algorithm and improves the dynamic time warping algorithm for the …
Asynchronism-based principal component analysis for time series data mining
H Li - Expert systems with applications, 2014 - Elsevier
Principal component analysis (PCA) is often applied to dimensionality reduction for time
series data mining. However, the principle of PCA is based on the synchronous covariance …
series data mining. However, the principle of PCA is based on the synchronous covariance …
Warping the time on data streams
P Capitani, P Ciaccia - Data & knowledge engineering, 2007 - Elsevier
Continuously monitoring through time the correlation/distance of multiple data streams is of
interest in a variety of applications, including financial analysis, video surveillance, and …
interest in a variety of applications, including financial analysis, video surveillance, and …
Boundary-based lower-bound functions for dynamic time warping and their indexing
M Zhou, MH Wong - Information Sciences, 2011 - Elsevier
Dynamic time warping (DTW) is a powerful technique in the time-series similarity search.
However, its performance on large-scale data is unsatisfactory because of its high …
However, its performance on large-scale data is unsatisfactory because of its high …