Results 131 to 140 of about 10,387 (161)

Segmentation of Time Series in Improving Dynamic Time Warping

2018 IEEE International Conference on Big Data (Big Data), 2018
Since its introduction to the computer science community, the Dynamic Time Warping (DTW) algorithm has demonstrated good performance with time series data. While this elastic measure is known for its effectiveness with time series sequence comparisons, the possibility of pathological warping paths weakens the algorithms potential considerably ...
Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A. Angryk   +3 more
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Accurate and Fast Dynamic Time Warping

2013
Dynamic time warping (DTW) is widely used to measure similarity between two time series by finding an optimal warping path. However, its quadratic time and space complexity are not suitable for large time series datasets. To overcome the issues, we propose a modified version of dynamic time warping, which not only retains the accuracy of DTW but also ...
Hailin Li, Libin Yang
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Dynamic Time Warping

2009
This chapter contains sections titled: Introduction Dynamic Programming Dynamic Time Warping Applied to IWR DTW Applied to CSR Training Issues in DTW Algorithms Conclusions Problems ]]>
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Dynamic Time Warping Based Sign Retrieval

2019 27th Signal Processing and Communications Applications Conference (SIU), 2019
Sign language, a visual language, is the main mode of communication for the Deaf. A large body of audio-visual material are annotated with sign language for the utilization of the Deaf. Enabling the sign based retrieval of these sources will serve two purposes: (i) Deaf people will be able to make searches using sign language; (ii) People who do not ...
Nazif Can Tamer, Ogulcan Özdemir, Murat Saraçlar, Lale Akarun   +3 more
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Robust voicing estimation with dynamic time warping

Proceedings of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '98 (Cat. No.98CH36181), 2002
This paper presents a robust voicing estimation algorithm for low bit rate harmonic speech coding. The algorithm is based on waveform time-warping followed by spectral matching based on voiced and unvoiced local spectral models. The objective of time warping is to reduce the effect of pitch variations on the voicing decision.
Tian Wang 0003, Vladimir Cuperman
openaire   +1 more source

Segmented Dynamic Time Warping

2019
Initially used in speech recognition, the dynamic time warping algorithm (DTW) has regained popularity with the widespread use of time series data. While demonstrating good performance, this elastic measure has two significant drawbacks: high computational costs and the possibility of pathological warping paths.
Ruizhe Ma, Azim Ahmadzadeh, Soukaina Filali Boubrahimi, Rafal A Angryk   +3 more
openaire   +1 more source

Fast Sparse Dynamic Time Warping

2022 26th International Conference on Pattern Recognition (ICPR), 2022
Youngha Hwang, Saul B. Gelfand
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Ultra fast warping window optimization for Dynamic Time Warping

2021 IEEE International Conference on Data Mining (ICDM), 2021
Chang Wei Tan, Matthieu Herrmann, Geoffrey I. Webb   +2 more
openaire   +1 more source

Time works well: Dynamic time warping based on time weighting for time series data mining

Information Sciences, 2021
Hailin Li
exaly  

On using dynamic programming for time warping in pattern recognition

Information Sciences, 2021
Eiji Mizutani
exaly