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