Similarity Function Tracking using Pairwise Comparisons

no code implementations • 7 Jan 2017 • Kristjan Greenewald, Stephen Kelley, Brandon Oselio, Alfred O. Hero III

We propose Online Convex Ensemble StrongLy Adaptive Dynamic Learning (OCELAD), a general adaptive, online approach for learning and tracking optimal metrics as they change over time that is highly robust to a variety of nonstationary behaviors in the changing metric.

Clustering Metric Learning +1

Dynamic Metric Learning from Pairwise Comparisons

no code implementations • 10 Oct 2016 • Kristjan Greenewald, Stephen Kelley, Alfred Hero III

Recent work in distance metric learning has focused on learning transformations of data that best align with specified pairwise similarity and dissimilarity constraints, often supplied by a human observer.

Clustering Metric Learning +1

Nonstationary Distance Metric Learning

no code implementations • 11 Mar 2016 • Kristjan Greenewald, Stephen Kelley, Alfred Hero

Recent work in distance metric learning has focused on learning transformations of data that best align with provided sets of pairwise similarity and dissimilarity constraints.

Clustering Metric Learning +1