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Dynamic Time Warping

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Showing 251–275 of 433 papers

TitleStatusHype
Study of the impact of climate change on precipitation in Paris area using method based on iterative multiscale dynamic time warping (IMS-DTW)—0
Support Vector Machine in Prediction of Building Energy Demand Using Pseudo Dynamic Approach—0
Symbol Grounding Association in Multimodal Sequences with Missing Elements—0
SymED: Adaptive and Online Symbolic Representation of Data on the Edge—0
Temporal Action Co-Segmentation in 3D Motion Capture Data and Videos—0
Temporal-Viewpoint Transportation Plan for Skeletal Few-shot Action Recognition—0
Text-Independent Speaker Verification Based on Deep Neural Networks and Segmental Dynamic Time Warping—0
The DKU System Description for The Interspeech 2021 Auto-KWS Challenge—0
The DOPE Distance is SIC: A Stable, Informative, and Computable Metric on Time Series And Ordered Merge Trees—0
The effect of fatigue on the performance of online writer recognition—0
The FreshPRINCE: A Simple Transformation Based Pipeline Time Series Classifier—0
The Globally Optimal Reparameterization Algorithm: an Alternative to Fast Dynamic Time Warping for Action Recognition in Video Sequences—0
The Influence of Global Constraints on Similarity Measures for Time-Series Databases—0
The NNI Query-by-Example System for MediaEval 2014—0
The SPL-IT Query by Example Search on Speech system for MediaEval 2014—0
The SPL-IT-UC Query by Example Search on Speech system for MediaEval 2015—0
Tightly Coupled Learning Strategy for Weakly Supervised Hierarchical Place Recognition—0
Time Alignment using Lip Images for Frame-based Electrolaryngeal Voice Conversion—0
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation—0
Time Series Fault Classification for Wave Propagation Systems with Sparse Fault Data—0
Resource-aware Time Series Imaging Classification for Wireless Link Layer Anomalies—0
Times series averaging from a probabilistic interpretation of time-elastic kernel—0
Time-warped Trials—0
Targeted demand response for flexible energy communities using clustering techniques—0
Towards more accurate clustering method by using dynamic time warping—0
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