activity
20102018
most citedPerformance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements

19 citations · 42 across the 6 of their papers we have counts for

collaborators

6 papers

stat.ML2018

Unsupervised vehicle recognition using incremental reseeding of acoustic signatures

Justin Sunu, Blake Hunter, Allon G. Percus

Vehicle recognition and classification have broad applications, ranging from traffic flow management to military target identification. We demonstrate an unsupervised method for au…

cs.DB2017

Unsupervised record matching with noisy and incomplete data

Yves van Gennip, Blake Hunter, Anna Ma +3

We consider the problem of duplicate detection in noisy and incomplete data: given a large data set in which each record has multiple entries (attributes), detect which distinct re…

cs.SI2012★ 13 cited

Multislice Modularity Optimization in Community Detection and Image Segmentation

Huiyi Hu, Yves van Gennip, Blake Hunter +2

Because networks can be used to represent many complex systems, they have attracted considerable attention in physics, computer science, sociology, and many other disciplines. One…

cs.SI2012★ 7 cited

Geosocial Graph-Based Community Detection

Yves van Gennip, Huiyi Hu, Blake Hunter +1

We apply spectral clustering and multislice modularity optimization to a Los Angeles Police Department field interview card data set. To detect communities (i.e., cohesive groups o…

stat.AP2012★ 3 cited

Community detection using spectral clustering on sparse geosocial data

Yves van Gennip, Blake Hunter, Raymond Ahn +9

In this article we identify social communities among gang members in the Hollenbeck policing district in Los Angeles, based on sparse observations of a combination of social intera…

math.NA2010★ 19 cited

Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements

Blake Hunter, Thomas Strohmer

Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged as…