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Found 4 papers, 0 papers with code
The mapKurator System: A Complete Pipeline for Extracting and Linking Text from Historical Maps
mapKurator empowers automated extraction, post-processing, and linkage of text labels from large numbers of large-dimension historical map scans.
Building Autocorrelation-Aware Representations for Fine-Scale Spatiotemporal Prediction
In addition to a feature selection module and a spatiotemporal learning module, DeepLATTE contains an autocorrelation-guided semi-supervised learning strategy to enforce both local autocorrelation patterns and global autocorrelation trends of the predictions in the learned spatiotemporal embedding space to be consistent with the observed data, overcoming the limitation of sparse and unevenly distributed observations.
A Semi-Supervised Approach for Abnormal Event Prediction on Large Operational Network Time-Series Data
Large network logs, recording multivariate time series generated from heterogeneous devices and sensors in a network, can often reveal important information about abnormal activities, such as network intrusions and device malfunctions.
A Comparison and Strategy of Semantic Segmentation on Remote Sensing Images
But a large number of useless raw images, limited data storage resource and poor transmission capability on satellites hinder our use of valuable images.
