Session 7: Finding Needles in Haystacks: Rare Category Detection using Semi-supervised Active Learning

Presenter Information/ Coauthors Information

Rohan Loveland, South Dakota School of Mines and TechnologyFollow

Presentation Type

Oral

Student

No

Track

Methodology

Abstract

Rare category detection addresses the problem of exploring data sets that are too large for unaided analysis. The Farpoint algorithm utilizes machine learning techniques to discover sparsely represented classes, through interactive queries and semi-supervised clustering. Application of the algorithm to skewed MNIST datasets is used to empirically characterize performance.

Start Date

2-7-2023 11:00 AM

End Date

2-7-2023 12:00 PM

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Feb 7th, 11:00 AM Feb 7th, 12:00 PM

Session 7: Finding Needles in Haystacks: Rare Category Detection using Semi-supervised Active Learning

Herold Crest 253 C

Rare category detection addresses the problem of exploring data sets that are too large for unaided analysis. The Farpoint algorithm utilizes machine learning techniques to discover sparsely represented classes, through interactive queries and semi-supervised clustering. Application of the algorithm to skewed MNIST datasets is used to empirically characterize performance.