20 citations · 22 across the 3 of their papers we have counts for
3 papers
stat.ME2019
Kernel Mean Embedding Based Hypothesis Tests for Comparing Spatial Point Patterns
Raif M. Rustamov, James T. Klosowski
This paper introduces an approach for detecting differences in the first-order structures of spatial point patterns. The proposed approach leverages the kernel mean embedding in a…
stat.ML2017★ 2 cited
Interpretable Graph-Based Semi-Supervised Learning via Flows
Raif M. Rustamov, James T. Klosowski
In this paper, we consider the interpretability of the foundational Laplacian-based semi-supervised learning approaches on graphs. We introduce a novel flow-based learning framewor…
cs.LG2012★ 20 cited
Vector Field k-Means: Clustering Trajectories by Fitting Multiple Vector Fields
Nivan Ferreira, James T. Klosowski, Carlos Scheidegger +1
Scientists study trajectory data to understand trends in movement patterns, such as human mobility for traffic analysis and urban planning. There is a pressing need for scalable an…