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.
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.
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.