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12/13/2022
Dimensionality reduction on complex vector spaces for dynamic weighted Euclidean distance
The weighted Euclidean distance between two vectors is a Euclidean dista...
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02/11/2022
Blocking Techniques for Sparse Matrix Multiplication on Tensor Accelerators
Tensor accelerators have gained popularity because they provide a cheap ...
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07/01/2021
On the Bike Spreading Problem
A free-floating bike-sharing system (FFBSS) is a dockless rental system ...
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01/26/2021
Sampling a Near Neighbor in High Dimensions – Who is the Fairest of Them All?
Similarity search is a fundamental algorithmic primitive, widely used in...
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06/22/2020
Similarity Search with Tensor Core Units
Tensor Core Units (TCUs) are hardware accelerators developed for deep ne...
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08/19/2019
A Computational Model for Tensor Core Units
To respond to the need of efficient training and inference of deep neura...
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06/05/2019
Fair Near Neighbor Search: Independent Range Sampling in High Dimensions
Similarity search is a fundamental algorithmic primitive, widely used in...
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09/07/2018
FRESH: Fréchet Similarity with Hashing
Massive datasets of curves, such as time series and trajectories, are co...
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04/16/2018
Adaptive MapReduce Similarity Joins
Similarity joins are a fundamental database operation. Given data sets S...
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07/25/2016