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Learning-Augmented Frequency Estimation in Sliding Windows
We show how to utilize machine learning approaches to improve sliding window algorithms for approximate frequency estimation problems, under the ``algorithms with predictions'' framework.
The Case for Learned Spatial Indexes
This exponential growth in spatial data has led the research community to focus on building systems and applications that can process spatial data efficiently.
MonoStream: A Minimal-Hardware High Accuracy Device-free WLAN Localization System
Device-free (DF) localization is an emerging technology that allows the detection and tracking of entities that do not carry any devices nor participate actively in the localization process.
Intelligent Hybrid Man-Machine Translation Quality Estimation
Inferring evaluation scores based on human judgments is invaluable compared to using current evaluation metrics which are not suitable for real-time applications e. g. post-editing.
