Frank Schoeneman

Publication Activity (10 Years)

Years Active: 2017-2020
Publications (10 Years): 8

Top Topics

Nonlinear Dimension Reduction

Neighborhood Graph

Laplacian Eigenmaps

Top Venues

Publications

Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Learning Manifolds from Dynamic Process Data. Algorithms 13 (2) (2020)
Frank Schoeneman, Jaroslaw Zola
Solving All-Pairs Shortest-Paths Problem in Large Graphs Using Apache Spark. ICPP (2019)
Frank Schoeneman, Jaroslaw Zola
Performance of All-Pairs Shortest-Paths Solvers with Apache Spark. CoRR (2019)
Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. CoRR (2018)
Frank Schoeneman, Jaroslaw Zola
Scalable Manifold Learning for Big Data with Apache Spark. CoRR (2018)
Frank Schoeneman, Varun Chandola, Nils Napp, Olga Wodo, Jaroslaw Zola
Entropy-Isomap: Manifold Learning for High-dimensional Dynamic Processes. IEEE BigData (2018)
Frank Schoeneman, Jaroslaw Zola
Scalable Manifold Learning for Big Data with Apache Spark. IEEE BigData (2018)
Frank Schoeneman, Suchismit Mahapatra, Varun Chandola, Nils Napp, Jaroslaw Zola
Error Metrics for Learning Reliable Manifolds from Streaming Data. SDM (2017)