Papers Time Series Alignment
“Time Series Alignment” 태그가 달린 논문 18편 · 필터 해제
TimePoint: 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+1Gaze-Guided Learning: Avoiding Shortcut Bias in Visual Classification
Inspired by human visual attention, deep neural networks have widely adopted attention mechanisms to learn locally discriminative attributes for challenging visual classification tasks. However, existing approaches prima…
cross-modal alignmentImage ClassificationMultimodal Deep LearningTime Series+1Deep 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 AlignmentDejaVid: Encoder-Agnostic Learned Temporal Matching for Video Classification
In recent years, large transformer-based video encoder models have greatly advanced state-of-the-art performance on video classification tasks. However, these large models typically process videos by averaging embedd…
Action ClassificationAction RecognitionFeature ImportanceTime Series Alignment+1Unraveling Anomalies in Time: Unsupervised Discovery and Isolation of Anomalous Behavior in Bio-regenerative Life Support System Telemetry
The detection of abnormal or critical system states is essential in condition monitoring. While much attention is given to promptly identifying anomalies, a retrospective analysis of these anomalies can significantly enh…
Anomaly ClassificationAnomaly DetectionTime SeriesTime Series Alignment+2Advancing multivariate time series similarity assessment: an integrated computational approach
Data mining, particularly the analysis of multivariate time series data, plays a crucial role in extracting insights from complex systems and supporting informed decision-making across diverse domains. However, assessing…
Decision MakingTime SeriesTime Series AlignmentTime Series AnalysisCALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
Deep learning (e.g., Transformer) has been widely and successfully used in multivariate time series forecasting (MTSF). Unlike existing methods that focus on training models from a single modal of time series input, larg…
Knowledge DistillationMultivariate Time Series ForecastingTime SeriesTime Series Alignment+1Diffeomorphic Transformations for Time Series Analysis: An Efficient Approach to Nonlinear Warping
The proliferation and ubiquity of temporal data across many disciplines has sparked interest for similarity, classification and clustering methods specifically designed to handle time series data. A core issue when deali…
ClusteringDynamic Time WarpingTime SeriesTime Series Alignment+3LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series Forecasters
Multivariate time-series forecasting is vital in various domains, e.g., economic planning and weather prediction. Deep train-from-scratch models have exhibited effective performance yet require large amounts of data, whi…
ChatbotMultivariate Time Series ForecastingRepresentation LearningSelf-Supervised Learning+3Closed-Form Diffeomorphic Transformations for Time Series Alignment
Time series alignment methods call for highly expressive, differentiable and invertible warping functions which preserve temporal topology, i.e diffeomorphisms. Diffeomorphic warping functions can be generated from the i…
CPUFormGPUSensitivity+3Residual Networks as Flows of Velocity Fields for Diffeomorphic Time Series Alignment
Non-linear (large) time warping is a challenging source of nuisance in time-series analysis. In this paper, we propose a novel diffeomorphic temporal transformer network for both pairwise and joint time-series alignment.…
Time SeriesTime Series AlignmentTime Series AnalysisAutomatic Registration and Clustering of Time Series
Clustering of time series data exhibits a number of challenges not present in other settings, notably the problem of registration (alignment) of observed signals. Typical approaches include pre-registration to a user-spe…
ClusteringTime SeriesTime Series AlignmentTime Series AnalysisTime Series Alignment with Global Invariances
Multivariate time series are ubiquitous objects in signal processing. Measuring a distance or similarity between two such objects is of prime interest in a variety of applications, including machine learning, but can be …
Dynamic Time WarpingTime SeriesTime Series AlignmentTime Series AnalysisDiffeomorphic Temporal Alignment Nets
Time-series analysis is confounded by nonlinear time warping of the data. Traditional methods for joint alignment do not generalize: after aligning a given signal ensemble, they lack a mechanism, that does not require so…
ECG ClassificationElectrocardiography (ECG)Time SeriesTime Series Alignment+2Temporal Registration in Application to In-utero MRI Time Series
We present a robust method to correct for motion in volumetric in-utero MRI time series. Time-course analysis for in-utero volumetric MRI time series often suffers from substantial and unpredictable fetal motion. Registr…
Time SeriesTime Series AlignmentTime Series AnalysisDifferentiable Dynamic Programming for Structured Prediction and Attention
Dynamic programming (DP) solves a variety of structured combinatorial problems by iteratively breaking them down into smaller subproblems. In spite of their versatility, DP algorithms are usually non-differentiable, whic…
Machine TranslationPredictionStructured PredictionTime Series+3DancingLines: An Analytical Scheme to Depict Cross-Platform Event Popularity
Nowadays, events usually burst and are propagated online through multiple modern media like social networks and search engines. There exists various research discussing the event dissemination trends on individual medium…
DiversityDynamic Time WarpingTime SeriesTime Series Alignment+1Affine and Regional Dynamic Time Warpng
Pointwise matches between two time series are of great importance in time series analysis, and dynamic time warping (DTW) is known to provide generally reasonable matches. There are situations where time series alignment…
Dynamic Time WarpingTime SeriesTime Series AlignmentTime Series Analysis