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GENERALIZED ALGORITHMIC FRAMEWORKS FOR OPTIMIZING DISTANCE CALLS IN GENERALIZED METRIC SPACE PROXIMITY PROBLEMS AND METHODS FOR REALIZING EFFICIENT SIGNAL RECONSTRUCTION
(2020-12-09)
The exponential rise in data, along with its heterogeneity and complexity, helped individuals, businesses, hospitals, enterprises and even governments to thrive on data-driven decision making. However, as the size and ...
A Generalized Approach for Reducing Expensive Distance Calls for A Broad Class of Proximity Problems
(ACM, 2021-06-20)
In this paper, we revisit a suite of popular proximity problems
(such as, KNN, clustering, minimum spanning tree) that repeatedly
perform distance computations to compare distances during their
execution. Our effort ...