dynamic time-warping algorithms
Human Action Recognition Using Dynamic Time Warping and Voting Algorithm
... using dynamic time warping and voting algorithms on 3D human skeletal ...of dynamic time warping (DTW) and a voting algorithm to the feature ...real time human ...
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Dynamic Time Warping for classifying cattle behaviors and reducing acceleration data size
... Although these methods show the high percentages of successful classification, they need more complex mathematics and the algorithms are difficult to implement in the embedded sensor system for saving battery ...
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Introduction to Various Algorithms of Speech Recognition: Hidden Markov Model, Dynamic Time Warping and Artificial Neural Networks
... simplest dynamic Bayesian network. Dynamic time warping (DTW) is a well-known technique to find an optimal alignment between two given (time-dependent) sequences under certain ...
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Effect of Dynamic Time Warping using different Distance Measures on Time Series Classification
... the time series according to the labels given in the training dataset. Time series data has features that are not completely independent of each ...using algorithms such as Naïve Bayes or Support ...
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Comparative Study of One Dimensional and Two Dimensional Dynamic Time Warping
... the Dynamic Time Warping method to two dimensions is not a simple ...dimensional dynamic warping algorithm could be used for a variety of applications such as text and facial ...
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Devnagari Handwriting Recognition System using Dynamic Time Warping Algorithm
... In both the technique above to improve the accuracy or recognition rate one needs additional classifier which needs additional feature vector. To get additional feature vector we need feature extraction ...
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Survey on Music Conducting Gestures using Dynamic Time Warping
... for time warping converges poorly in the area where the objective function Jgtw is ...generalized time warping is subject to local ...admissible time warping results with fixed ...
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Virtual Personal Trainer using Microsoft Kinect and Machine Learning
... several time series classifiers, using the two available versions of Kinect ...several time series gestures, a large database of ideal gestures is ...learning algorithms which are Dynamic ...
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Modified Dynamic Time Warping for Hierarchical Clustering
... the Dynamic Time Warping (DTW) to improve its functionality regarding specific ...the time consumed, which leads to improving the efficiency, as well as acquiring better accuracy, which leads ...
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With an efficient time series datasets classification fast accuracy model for dynamic data sets using classical-k-nn algorithm
... The Dynamic Time Warping (DTW) is able to find the optimal alignment between two time ...determine time series similarity, classification and to find corresponding regions between two ...
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A Segment-Based Trajectory Similarity Measure in the Urban Transportation Systems
... the dynamic time warping algorithm (DTW) [5], longest common subsequence algorithm (LCSS) [6], and edit distance on real sequence algorithm (EDR) ...Those algorithms can obtain the results of ...
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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 ...
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Assessing Dynamic-Time-Warping Dissimilarity Measures in Regionalization of River Discharges
... a Dynamic Time Warping (DTW) dissimilarity measure to cluster homogeneous river discharge patterns based on sequenced of time series discharge ...discharge time series. In this study, ...
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Pattern Matching Trading System Based on the Dynamic Time Warping Algorithm
... of trading by matching the daily index futures time series data with fixed patterns using the DTW 184.. algorithm.[r] ...
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A Nested Alignment Graph Kernel through the Dynamic Time Warping Framework
... In this paper, we have proposed a novel nested alignment graph kernel. The kernel is an adaptation of the dynamic time warping framework based kernel (i.e., the global align- ment kernel) to graphs. ...
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Copy and Move Detection in Audio Recordings using Dynamic Time Warping Algorithm
... and Dynamic time warping which is robust against several kinds of regularly used post-processing actions and background noise, which highlights its promising potential of the suggested method as an ...
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Time-dependent bag of words on manifolds for geodesic-based classification of video activities towards assisted living and healthcare
... BoW+T: Time-dependent wag of words; CNN: Convolutional neural networks; DTW: Dynamic time warping; ERP: Edit distance with real penalty; FV: Fisher vector; FPR: False positive rate; GA: Global ...
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A first sketch: Construction of model defect priors inspired by dynamic time warping
... Figure 2. The dynamic time warping GP specification resulting from the marginal likelihood maximiza- tion: (left) the amplitude function δ(.); (middle) the metric function m(.); and (right) the ...
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A New Similarity Measure for Time Series Data Mining Based on Longest Common Subsequence
... 300 time series of experimental dataset the Class of 209 of them is correctly identified which is equal to ...of time series class increases from ...
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Preprocessing and Classification of Electrophoresis Gel Images Using Dynamic Time Warping
... on 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 ...
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