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cs.DS2018★ 13 cited
MISSION: Ultra Large-Scale Feature Selection using Count-Sketches
Amirali Aghazadeh, Ryan Spring, Daniel LeJeune +3
Feature selection is an important challenge in machine learning. It plays a crucial role in the explainability of machine-driven decisions that are rapidly permeating throughout mo…
cs.DS2016
Near-Isometric Binary Hashing for Large-scale Datasets
Amirali Aghazadeh, Andrew Lan, Anshumali Shrivastava +1
We develop a scalable algorithm to learn binary hash codes for indexing large-scale datasets. Near-isometric binary hashing (NIBH) is a data-dependent hashing scheme that quantizes…