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Data Summarization

Data Summarization is a central problem in the area of machine learning, where we want to compute a small summary of the data.

Source: How to Solve Fair k-Center in Massive Data Models

Papers

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Showing 91–97 of 97 papers

TitleStatusHype
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer VisionCode0
Streaming Algorithms for Diversity Maximization with Fairness ConstraintsCode0
Streaming Submodular Maximization under a k-Set System ConstraintCode0
Fair and Representative Subset Selection from Data StreamsCode0
Synthetic Dataset Generation of Driver TelematicsCode0
Time-to-Pattern: Information-Theoretic Unsupervised Learning for Scalable Time Series SummarizationCode0
Towards Neural Numeric-To-Text Generation From Temporal Personal Health DataCode0
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