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STTD: spatial-temporal transformer with double recurrent graph convolutional cooperative network for traffic flow prediction
Traffic flow prediction is an important part of ITS, accurate traffic flow prediction plays a crucial role in the development of ITS. It can not only...
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Structure-adaptive graph neural network with temporal representation and residual connections
Graph learning methods have boosted brain analysis for user healthcare, disease detection, and behavioral modeling. Spatially separated brain regions...
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Weakly-supervised video anomaly detection via temporal resolution feature learning
AbstractWeakly supervised video anomaly detection (WS-VAD) is often formulated as a multiple instance learning (MIL) problem. Snippet-level anomaly...
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ForecastTKGQuestions: A Benchmark for Temporal Question Answering and Forecasting over Temporal Knowledge Graphs
Question answering over temporal knowledge graphs (TKGQA) has recently found increasing interest. Previous related works aim to develop QA systems...
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A relation enhanced model for temporal knowledge graph alignment
Entity alignment (EA) aims to find entities that point to the same object in multiple knowledge graphs (KGs), i.e., finding equivalent entity pairs....
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DGFormer: a physics-guided station level weather forecasting model with dynamic spatial-temporal graph neural network
In recent years, there has been an increased interest in understanding and predicting the weather using weather station data with Spatial-Temporal...
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Skyline-Based Temporal Graph Exploration
An important problem in studying temporal graphs is detecting interesting events in their evolution, defined as time intervals of significant...
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SUBTLE: An Unsupervised Platform with Temporal Link Embedding that Maps Animal Behavior
While huge strides have recently been made in language-based machine learning, the ability of artificial systems to comprehend the sequences that...
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GaitCTCG: cross-view gait recognition via cascaded residual temporal shift and comprehensive multi-granularity learning
Gait is one of the most popular biometrics for identity authentication today due to its noninvasive perception. Diverse spatial representations and...
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Functional System Properties in Temporal Logic
In the previous chapter, we have seen how we can define a formal model of a system that we want to reason about. This chapter discusses how we can...
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Key frame extraction method for lecture videos based on spatio-temporal subtitles
Affected by the Corona Virus Disease 2019 (COVID-19), online lecture videos have witnessed an explosive growth. In the face of massive videos, this...
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Multi-attention gated temporal graph convolution neural Network for traffic flow forecasting
Real-time and accurate traffic flow forecasting plays a crucial role in transportation systems and holds great significance for urban traffic...
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Dirichlet Graph Convolution Coupled Neural Differential Equation for Spatio-temporal Time Series Prediction
In recent years, multivariate time series prediction has attracted extensive research interests. However, the dynamic changes of the spatial topology...
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Assessing the validity of VR as a training tool for medical students
The advances in Virtual Reality technologies, increased availability and reducing hardware costs have diminished many of the early challenges in the...
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Temporal silhouette: validation of stream clustering robust to concept drift
Stream clustering is required in applications where data is generated continuously or periodically and must be processed considering its temporal...
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Spatial-temporal aware network for video-based person re-identification
Video-based pedestrian re-identification (ReID) is able to match the same pedestrian from various cameras in a complex real-world scene. The...
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Explainable Online Monitoring of Metric First-Order Temporal Logic
Metric first-order temporal logic (MFOTL) is an expressive formalism for specifying temporal and data-dependent constraints on streams of...
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Learning spatio-temporal discriminative model for affine subspace based visual object tracking
Discriminative correlation filters (DCF) with powerful feature descriptors have proven to be very effective for advanced visual object tracking...
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HTSE: hierarchical time-surface model for temporal knowledge graph embedding
Representation learning based on temporal knowledge graphs (TKGs) has attracted widespread interest, and temporal knowledge graph embedding (TKGE)...
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An Efficient Keywords Search in Temporal Social Networks
With the increasing of requirements from many aspects, various queries and analyses arise focusing on social network. Time is a common and necessary...
