1 citations · 1 across the 2 of their papers we have counts for
3 papers
Generalized compression and compressive search of large datasets
Morgan E. Prior, Thomas Howard, Emily Light +2
The Big Data explosion has necessitated the development of search algorithms that scale sub-linearly in time and memory. While compression algorithms and search algorithms do exist…
Let them have CAKES: A Cutting-Edge Algorithm for Scalable, Efficient, and Exact Search on Big Data
Morgan E. Prior, Thomas J. Howard, Oliver McLaughlin +3
The ongoing Big Data explosion has created a demand for efficient and scalable algorithms for similarity search. Most recent work has focused on \textit{approximate} -NN search,…
Clustered Hierarchical Anomaly and Outlier Detection Algorithms
Najib Ishaq, Thomas J. Howard, Noah M. Daniels
Anomaly and outlier detection is a long-standing problem in machine learning. In some cases, anomaly detection is easy, such as when data are drawn from well-characterized distribu…