Papers Dynamic Time Warping
“Dynamic Time Warping” 태그가 달린 논문 433편 · 필터 해제
ActAlign: Zero-Shot Fine-Grained Video Classification via Language-Guided Sequence Alignment
We address the task of zero-shot fine-grained video classification, where no video examples or temporal annotations are available for unseen action classes. While contrastive vision-language models such as SigLIP demonst…
Dynamic Time WarpingLarge Language ModelOpen Set Learningtext similarity+2From Data Acquisition to Lag Modeling: Quantitative Exploration of A-Share Market with Low-Coupling System Design
We propose a novel two-stage framework to detect lead-lag relationships in the Chinese A-share market. First, long-term coupling between stocks is measured via daily data using correlation, dynamic time warping, and rank…
Dynamic Time WarpingH-QuEST: Accelerating Query-by-Example Spoken Term Detection with Hierarchical Indexing
Query-by-example spoken term detection (QbE-STD) searches for matching words or phrases in an audio dataset using a sample spoken query. When annotated data is limited or unavailable, QbE-STD is often done using template…
Dynamic Time WarpingRepresentation LearningRetrievalTemplate MatchingA Driving Regime-Embedded Deep Learning Framework for Modeling Intra-Driver Heterogeneity in Multi-Scale Car-Following Dynamics
A fundamental challenge in car-following modeling lies in accurately representing the multi-scale complexity of driving behaviors, particularly the intra-driver heterogeneity where a single driver's actions fluctuate dyn…
Dynamic Time WarpingAssessing the Impact of Anisotropy in Neural Representations of Speech: A Case Study on Keyword Spotting
Pretrained speech representations like wav2vec2 and HuBERT exhibit strong anisotropy, leading to high similarity between random embeddings. While widely observed, the impact of this property on downstream tasks remains u…
Dynamic Time WarpingKeyword SpottingImproved Learning via k-DTW: A Novel Dissimilarity Measure for Curves
This paper introduces $k$-Dynamic Time Warping ($k$-DTW), a novel dissimilarity measure for polygonal curves. $k$-DTW has stronger metric properties than Dynamic Time Warping (DTW) and is more robust to outliers than the…
Dynamic Time WarpingTimePoint: Accelerated Time Series Alignment via Self-Supervised Keypoint and Descriptor Learning
Fast and scalable alignment of time series is a fundamental challenge in many domains. The standard solution, Dynamic Time Warping (DTW), struggles with poor scalability and sensitivity to noise. We introduce TimePoint, …
Dynamic Time WarpingKeypoint DetectionTime SeriesTime Series Alignment+1Conversational Recommendation System using NLP and Sentiment Analysis
In today's digitally-driven world, the demand for personalized and context-aware recommendations has never been greater. Traditional recommender systems have made significant strides in this direction, but they often lac…
Conversational RecommendationDynamic Time WarpingMarketingRecommendation Systems+2An Efficient Transport-Based Dissimilarity Measure for Time Series Classification under Warping Distortions
Time Series Classification (TSC) is an important problem with numerous applications in science and technology. Dissimilarity-based approaches, such as Dynamic Time Warping (DTW), are classical methods for distinguishing …
ClassificationDynamic Time WarpingTime SeriesTime Series ClassificationSpatiotemporal Emotional Synchrony in Dyadic Interactions: The Role of Speech Conditions in Facial and Vocal Affective Alignment
Understanding how humans express and synchronize emotions across multiple communication channels particularly facial expressions and speech has significant implications for emotion recognition systems and human computer …
Dynamic Time WarpingEmotion RecognitionA Non-Invasive Load Monitoring Method for Edge Computing Based on MobileNetV3 and Dynamic Time Regulation
In recent years, non-intrusive load monitoring (NILM) technology has attracted much attention in the related research field by virtue of its unique advantage of utilizing single meter data to achieve accurate decompositi…
Dynamic Time WarpingEdge-computingNon-Intrusive Load MonitoringSiamese Network with Dual Attention for EEG-Driven Social Learning: Bridging the Human-Robot Gap in Long-Tail Autonomous Driving
Robots with wheeled, quadrupedal, or humanoid forms are increasingly integrated into built environments. However, unlike human social learning, they lack a critical pathway for intrinsic cognitive development, namely, le…
Autonomous DrivingBrain Computer InterfaceDynamic Time WarpingEEG+2Ensemble-Enhanced Graph Autoencoder with GAT and Transformer-Based Encoders for Robust Fault Diagnosis
Fault classification in industrial machinery is vital for enhancing reliability and reducing downtime, yet it remains challenging due to the variability of vibration patterns across diverse operating conditions. This stu…
Dynamic Time WarpingFault DiagnosisrPPG-SysDiaGAN: Systolic-Diastolic Feature Localization in rPPG Using Generative Adversarial Network with Multi-Domain Discriminator
Remote photoplethysmography (rPPG) offers a novel approach to noninvasive monitoring of vital signs, such as respiratory rate, utilizing a camera. Although several supervised and self-supervised methods have been propose…
Dynamic Time WarpingGenerative Adversarial NetworkLine Space Clustering (LSC): Feature-Based Clustering using K-medians and Dynamic Time Warping for Versatility
Clustering high-dimensional data is a critical challenge in machine learning due to the curse of dimensionality and the presence of noise. Traditional clustering algorithms often fail to capture the intrinsic structures …
ClusteringDynamic Time WarpingExplainable Graph-theoretical Machine Learning: with Application to Alzheimer's Disease Prediction
Alzheimer's disease (AD) affects 50 million people worldwide and is projected to overwhelm 152 million by 2050. AD is characterized by cognitive decline due partly to disruptions in metabolic brain connectivity. Thus, ea…
Density EstimationDisease PredictionDynamic Time WarpingOn a Dissimilarity Metric for Analyzing Body Synergistic Coordination in Non-Periodic Motion
This study proposes a novel metric to quantitatively evaluate body synergistic coordination, explicitly addressing dynamic interactions between pairs of body segments in baseball pitching motions. Conventional methods ty…
Dynamic Time WarpingRhythmTime SeriesDecoding Financial Health in Kenyas' Medical Insurance Sector: A Data-Driven Cluster Analysis
This study examines insurance companies' financial performance and reporting trends within the medical sector using advanced clustering techniques to identify distinct patterns. Four clusters were identified by analyzing…
ClusteringDynamic Time WarpingTime SeriesTime Series AnalysisDeep Time Warping for Multiple Time Series Alignment
Time Series Alignment is a critical task in signal processing with numerous real-world applications. In practice, signals often exhibit temporal shifts and scaling, making classification on raw data prone to errors. This…
Dynamic Time WarpingMultiple Sequence AlignmentTime SeriesTime Series AlignmentSpatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile
Effective resource management and environmental planning in regions with high climatic variability, such as Chile, demand advanced predictive tools. This study addresses this challenge by employing an innovative and comp…
Dynamic Time WarpingTime SeriesTime Series Forecasting