131 citations · 200 across the 27 of their papers we have counts for
5 papers · 1 filter
Parsimonious Online Learning with Kernels via Sparse Projections in Function Space
Alec Koppel, Garrett Warnell, Ethan Stump +1
Despite their attractiveness, popular perception is that techniques for nonparametric function approximation do not scale to streaming data due to an intractable growth in the amou…
Functional Alignment with Anatomical Networks is Associated with Cognitive Flexibility
John D. Medaglia, Weiyu Huang, Elisabeth A. Karuza +3
Cognitive flexibility describes the human ability to switch between modes of mental function to achieve goals. Mental switching is accompanied by transient changes in brain activit…
Hierarchical Clustering Given Confidence Intervals of Metric Distances
Weiyu Huang, Alejandro Ribeiro
This paper considers metric spaces where distances between a pair of nodes are represented by distance intervals. The goal is to study methods for the determination of hierarchical…
Excisive Hierarchical Clustering Methods for Network Data
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
We introduce two practical properties of hierarchical clustering methods for (possibly asymmetric) network data: excisiveness and linear scale preservation. The latter enforces imp…
Admissible Hierarchical Clustering Methods and Algorithms for Asymmetric Networks
Gunnar Carlsson, Facundo Mémoli, Alejandro Ribeiro +1
This paper characterizes hierarchical clustering methods that abide by two previously introduced axioms -- thus, denominated admissible methods -- and proposes tractable algorithms…