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Dynamic Time Warping

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TitleStatusHype
Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition—0
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier—0
Time-Series K-means in Causal Inference and Mechanism Clustering for Financial Data—0
Word-level Stroke Trajectory Recovery for Handwriting with Gaussian Dynamic Time Warping—0
Boosted-SpringDTW for Comprehensive Feature Extraction of Physiological Signals—0
Dynamic Time Warping Clustering to Discover Socio-Economic Characteristics in Smart Water Meter Data—0
Fitting nonlinear models to continuous oxygen data with oscillatory signal variations via a loss based on DynamicTime Warping—0
3D Skeleton-based Few-shot Action Recognition with JEANIE is not so Naïve—0
GEO-BLEU: Similarity Measure for Geospatial Sequences—0
Dyadic Sex Composition and Task Classification Using fNIRS Hyperscanning DataCode0
Phone Based Keyword Spotting for Transcribing Very Low Resource Languages—0
K-nearest neighbour and dynamic time warping for online signature verification—0
Learning Non-Stationary Time-Series with Dynamic Pattern Extractions—0
Price Stability of Cryptocurrencies as a Medium of Exchange—0
A similarity measurement for time series and its application to the stock market—0
A comprehensive study of clustering a class of 2D shapes—0
NDH-Full: Learning and Evaluating Navigational Agents on Full-Length DialogueCode0
A Modified Dynamic Time Warping (MDTW) Approach and Innovative Average Non-Self Match Distance (ANSD) Method for Anomaly Detection in ECG Recordings—0
Clustering of Bank Customers using LSTM-based encoder-decoder and Dynamic Time WarpingCode0
EnsembleNTLDetect: An Intelligent Framework for Electricity Theft Detection in Smart Grid—0
CDPS: Constrained DTW-Preserving Shapelets—0
Adaptive Speech Duration Modification using a Deep-Generative Framework—0
Lithium-ion Battery State of Health Estimation based on Cycle Synchronization using Dynamic Time Warping—0
Multiscale Manifold Warping—0
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion—0
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