Results 321 to 330 of about 1,143,126 (364)
Some of the next articles are maybe not open access.
Dynamic time warping of spectroscopic BATCH data
Analytica Chimica Acta, 2003This paper discusses a method for warping spectral batch data. This method is a modification of a procedure proposed by Kassidas et al. [AIChE Journal 44 (1998) 864; Journal of Process Control 8 (1998) 381]. This iterative procedure is based on the dynamic time warping (DTW) algorithm. The symmetric DTW algorithm is discussed in this paper.
Ramaker, H.J. +3 more
openaire +5 more sources
Drift time estimation by dynamic time warping
SEG Technical Program Expanded Abstracts 2015, 2015Summary The drift time is the traveltime difference at the seismic frequency and the sonic logging frequency in anelastic media. In this abstract, we use dynamic time warping to estimate the drift time. Stationary and nonstationary seismograms are constructed based on well log data and the constant-Q theory.
Tianci Cui*, Gary Margrave
openaire +1 more source
Least-squares reverse time migration with dynamic time warping
SEG Technical Program Expanded Abstracts 2018, 2018Least-squares reverse-time migration (LSRTM) has been shown to improve image quality over conventional RTM by enhancing the resolution, balancing illumination, and suppressing migration artefacts. However, it is also known to be sensitive to velocity errors.
W. Dai, X. Cheng, K. Jiao, D. Vigh
openaire +1 more source
A novel distance measure based on dynamic time warping to improve time series classification
Information Sciences, 2023Yutao Liu +3 more
semanticscholar +1 more source
Gait recognition using dynamic time warping
IEEE 6th Workshop on Multimedia Signal Processing, 2004., 2005We propose a methodology for gait recognition based on dynamic time warping. The gait sequences are initially partitioned into gait cycles and then the test cycles are compared to reference cycles using dynamic time warping. The final distance between a test and a reference sequence is determined using a nonlinear rule.
Boulgouris, N V +2 more
openaire +1 more source
Mammogram classification using dynamic time warping
Multimedia Tools and Applications, 2017This paper presents a new approach for breast cancer classification using time series analysis. In particular, the region of interest (ROI) in mammogram images is classified as normal or abnormal using dynamic time warping (DTW) as a similarity measure. According to the analogous case in time series analysis, the DTW subsumes Euclidean distance (ED) as
Syed Jamal Safdar Gardezi +4 more
openaire +1 more source
Dynamic Time Warping Based Sign Retrieval
2019 27th Signal Processing and Communications Applications Conference (SIU), 2019Sign 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 +3 more
openaire +1 more source
Chromosome classification using dynamic time warping
Pattern Recognition Letters, 2008A classifier based on dynamic time warping (DTW) has been developed to perform the classification of human chromosomes. DTW is used in speech recognition applications to compare two time-sequences. This paper describes a method to adapt the DTW technique in order to deal with the length and the density profile, which are common features used in ...
Legrand, B. +4 more
openaire +1 more source

