806 citations · 1.1k across the 47 of their papers we have counts for
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k-Means Clustering Is Matrix Factorization
Christian Bauckhage
We show that the objective function of conventional k-means clustering can be expressed as the Frobenius norm of the difference of a data matrix and a low rank approximation of tha…
SGPD Volume Maximization for Community Detection
Kasra Manshaei, Christian Bauckhage
In this note we briefly study the feasibility of community detection in complex networks using peripheral vertices. Our method suggests a novel direction in axiomizing the problem…
Exploring Human Vision Driven Features for Pedestrian Detection
Shanshan Zhang, Christian Bauckhage, Dominik A. Klein +1
Motivated by the center-surround mechanism in the human visual attention system, we propose to use average contrast maps for the challenge of pedestrian detection in street scenes…
Maximum Entropy Models of Shortest Path and Outbreak Distributions in Networks
Christian Bauckhage, Kristian Kersting, Fabian Hadiji
Properties of networks are often characterized in terms of features such as node degree distributions, average path lengths, diameters, or clustering coefficients. Here, we study s…