Compassionately Conservative Balanced Cuts for Image Segmentation

no code implementations • CVPR 2018 • Nathan D. Cahill, Tyler L. Hayes, Renee T. Meinhold, John F. Hamilton

The Normalized Cut (NCut) objective function, widely used in data clustering and image segmentation, quantifies the cost of graph partitioning in a way that biases clusters or segments that are balanced towards having lower values than unbalanced partitionings.

Clustering graph partitioning +3

Multiple-View Spectral Clustering for Group-wise Functional Community Detection

no code implementations • 21 Nov 2016 • Nathan D. Cahill, Harmeet Singh, Chao Zhang, Daryl A. Corcoran, Alison M. Prengaman, Paul S. Wenger, John F. Hamilton, Peter Bajorski, Andrew M. Michael

Functional connectivity analysis yields powerful insights into our understanding of the human brain.

Clustering Community Detection