Dynamic time warping (DTW) is a successful algorithm in many matching and searching tasks. For the text-dependent speaker verification, it is still an appropriate choice when enrollment data are very limited. Yet DTW is very sensitive to the endpoint variations between the reference template and test examples. Most research reported on this issue is mainly in two directions: robust endpoint det...

This paper introduces a method for human action recognition based on optical flow motion features extraction. Automatic spatial and temporal alignments are combined together in order to encourage the temporal consistence on each action by an enhanced dynamic time warping (DTW) algorithm. At the same time, a fast method based on coarse-to-fine DTW constraint to improve computational performance ...

In this paper we describe the system proposed by NNI (NWPUNTU-I2R) team for the QUESST task within the Mediaeval 2014 evaluation. To solve the problem, we used both dynamic time warping (DTW) and symbolic search (SS) based approaches. The DTW system performs template matching using subsequence DTW algorithm and posterior representations. The symbolic search is performed on phone sequences gener...

Electrical motor stator current signals have been widely used to monitor the condition of induction machines and their downstream mechanical equipment. The key technique used for current signal analysis is based on Fourier transform (FT) to extract weak fault sideband components from signals predominated with supply frequency component and its higher order harmonics. However, the FT based metho...

Models 1. 5-Nearest Neighbor with Dynamic Time Warping (DTW)? 2. 5-Nearest Neighbor with Complexity-Invariant Distance (CID)? 3. Regression on features (Reg) Method 1. 10 fold cross validation 2. Lowest quality training cases duplicated 3. Bayesian approach using Gibbs sampling 4. Model from best algorithm used to classify 90,631 cases 5. Labels correlated with 30-day outcomes (4) Times Series ...

The isolated word speech recognition system based on dynamic time warping (DTW) has been developed. Speaker adaptation is performed using speaker recognition techniques. Vector quantization is used to create reference templates for speaker recognition. Linear predictive coding (LPC) parameters are used as features for recognition. Performance is evaluated using 12 words of Lithuanian language p...

Traditional resting-state network concept is based on calculating linear dependence of spontaneous low frequency fluctuations of the BOLD signals of different brain areas, which assumes temporally stable zero-lag synchrony across regions. However, growing amount of experimental findings suggest that functional connectivity exhibits dynamic changes and a complex time-lag structure, which cannot ...

Given the ubiquity of time series data, the data mining community has spent significant time investigating the best time series similarity measure to use for various tasks and domains. After more than a decade of extensive efforts, there is increasing evidence that Dynamic Time Warping (DTW) is very difficult to beat. Given that, recent efforts have focused on making the intrinsically slow DTW ...

As sensor technology has become more advanced, research projects exploring new ways in human-computer interaction have been enabled. Especially, after the Kinect released, study of gesture recognition for human-computer interaction using Kinect has become popular. Dynamic Time Warping (DTW) is one of the template matching algorithm used in the field of gesture recognition. By selecting the most...