226 citations · 541 across the 30 of their papers we have counts for
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Active Perceptual Similarity Modeling with Auxiliary Information
Eric Heim, Matthew Berger, Lee Seversky +1
Learning a model of perceptual similarity from a collection of objects is a fundamental task in machine learning underlying numerous applications. A common way to learn such a mode…
Sparse Multidimensional Patient Modeling using Auxiliary Confidence Labels
Eric Heim, Milos Hauskrecht
In this work, we focus on the problem of learning a classification model that performs inference on patient Electronic Health Records (EHRs). Often, a large amount of costly expert…
MCODE: Multivariate Conditional Outlier Detection
Charmgil Hong, Milos Hauskrecht
Outlier detection aims to identify unusual data instances that deviate from expected patterns. The outlier detection is particularly challenging when outliers are context dependent…
Efficient Online Relative Comparison Kernel Learning
Eric Heim, Matthew Berger, Lee M. Seversky +1
Learning a kernel matrix from relative comparison human feedback is an important problem with applications in collaborative filtering, object retrieval, and search. For learning a…