time warping
Toward The Use Of The Time–Warping Principle With Discrete–Time Sequences
... unitary warping operators to the case of discrete–time ...discrete–time warping operators finds a natural description in linear shift– invariant ...discrete–time warping operator ...
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Effect of Dynamic Time Warping using different Distance Measures on Time Series Classification
... the time series sequences are uneven in length and the classes of the data are highly ...the time series. Euclidean distance suffers when the two time series vary in time ...a ...
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Time domain signal feature extraction of mechanical and electrical equipment based on improved dynamic time warping
... of time-domain signal feature extraction and fault diagnostic based on improved dynamic time warping method of mechanical and electrical ...Dynamic time warping method was improved by ...
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Regularization of Dynamic Time Warping Barycenter Averaging, with Applications in Sign Classification
... Dynamic time warping and DTW barycenter averaging do allow room for ...the time series registration problem that does not restrict points in one time series from being associated with exactly ...
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A Nested Alignment Graph Kernel through the Dynamic Time Warping Framework
... The aim of this work is to overcome the gap between local kernels (i.e., kernels based on local substructures of limited sizes) and the global kernels (i.e., global ker- nels and quantum or classical Jensen-Shannon ...
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Feature trajectory dynamic time warping for clustering of speech segments
... Dynamic time warping (DTW) is a method of optimally aligning two distinct time series of generally different ...between time series has led to the application of DTW in automatic speech recog- ...
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A first sketch: Construction of model defect priors inspired by dynamic time warping
... function of energy and describes the difference between the model prediction and the truth. Of course, neither the truth nor the model defect are accessible. A Gaussian process (GP) enables to define a probability ...
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Survey on Music Conducting Gestures using Dynamic Time Warping
... Time Warping. The important Characteristic of Context Dependent Dynamic Time Warping is that it exploits the correlation without using local ...
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Preprocessing and Classification of Electrophoresis Gel Images Using Dynamic Time Warping
... dynamic time warping is integrated. The dynamic time warping adjusts positions of similar bands between two samples, which can be unmatched due to uneven movement of the various samples in the ...
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Human Action Recognition Using Dynamic Time Warping and Voting Algorithm
... dynamic time warping and voting algorithms on 3D human skeletal ...dynamic time warping (DTW) and a voting algorithm to the feature ...real time human action recognition ...
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Quality Estimation of Speech Recognition Features for Dynamic Time Warping Classifier
... Abstract. The choice of the quality features set remains the main issue for the successful speech recognition system. In the literature, quality of features is estimated by calculating the classification error. So that, ...
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Hand Geometry Verification based on Chain Code and Dynamic Time Warping
... This paper demonstrates the use of the hand contours as a feature of hand geometry. The contour is extracted by chain code technique. To match of two chain code of hand is used dynamic time warping distance ...
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Devnagari Handwriting Recognition System using Dynamic Time Warping Algorithm
... dynamic time warping (DTW) technique is considered. In dynamic time warping the entered character is processed in terms of time sequences x and y as a function of ...The time ...
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Assessing Dynamic-Time-Warping Dissimilarity Measures in Regionalization of River Discharges
... Weighted Dynamic Time Warping (WDTW) is the modified version of the conventional DTW as described in 3.1 which calculates the distance of all pairwise points with equal weight of each point regardless of ...
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ISOLATED WORD SPEECH RECOGNITION SYSTEM USING DYNAMIC TIME WARPING
... Speech recognition is a multileveled pattern recognition task, in which acoustical signals are examined and structured into a hierarchy of sub word units (e.g., phonemes), words,phrases, and sentences. Each level may ...
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Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping
... E- Hocine Bourouba et al presented hybrid approach for isolated spoken word recognition using Hidden Markov Model models (HMM) and Dynamic time warping (DTW) in which they combined the advantages of these ...
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Copy and Move Detection in Audio Recordings using Dynamic Time Warping Algorithm
... In this paper, we have investigated the detection of copy move forgery in an audio recording. The experiment analysis has made us to propose a robust copy move detection method with help of the features which we ...
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Spoken Digits Recognition using Weighted MFCC and Improved Features for Dynamic Time Warping
... dynamic time warping instead of using absolute feature value or derivative estimates since an absolute value or local feature is not sufficient to identify and match common trends and patterns in the ...
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Dynamic time warping for classifying lameness in cows
... Dynamic Time Warping (DTW) is used to measure the similarity between two-time ...first time series is the behavioral time periods of the cow used as the templates, which was collected ...
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Modified Dynamic Time Warping for Hierarchical Clustering
... clustering time series data lies on the similarity/distance function used to identify the sequential ...Dynamic Time Warping (DTW) is one of the common distance measures that have demonstrated ...
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