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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 31–40 of 97 papers

TitleStatusHype
Operations for Autonomous Spacecraft—0
NNK-Means: Data summarization using dictionary learning with non-negative kernel regression—0
Towards General Robustness to Bad Training Data—0
Data Summarization via Bilevel Optimization—0
A Unified Framework for Task-Driven Data Quality Management—0
Adaptive Sampling for Fast Constrained Maximization of Submodular Function—0
Synthetic Dataset Generation of Driver TelematicsCode0
Sequential estimation of Spearman rank correlation using Hermite series estimatorsCode1
Introduction to Core-sets: an Updated Survey—0
Very Fast Streaming Submodular Function MaximizationCode1
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