Publications of Paul L Bendich

Papers Published

  1. Garagic, D; Peskoe, J; Liu, F; Claffey, MS; Bendich, P; Hineman, J; Borggren, N; Harer, J; Zulch, P; Rhodes, BJ, Upstream fusion of multiple sensing modalities using machine learning and topological analysis: An initial exploration, 2018 Ieee Aerospace Conference, vol. 2018-March (March, 2018), pp. 1-8, IEEE, ISBN 9781538620144
  2. Tralie, CJ; Smith, A; Borggren, N; Hineman, J; Bendich, P; Zulch, P; Harer, J, Geometric cross-modal comparison of heterogeneous sensor data, 2018 Ieee Aerospace Conference (March, 2018), IEEE
  3. Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric Models for Musical Audio Data, Proceedings of the 32st International Symposium on Computational Geometry (SOCG) (June, 2016)
  4. Bendich, P; Gasparovic, E; Harer, J; Tralie, C, Geometric models for musical audio data, Leibniz International Proceedings in Informatics, Lipics, vol. 51 (June, 2016), pp. 65.1-65.5, ISBN 9783959770095
  5. Tralie, CJ; Bendich, P, Cover Song Identification with Timbral Shape Sequences, 16th International Society for Music Information Retrieval (ISMIR) (October, 2015), pp. 38-44
  6. Bendich, P; Gasparovic, E; Harer, J; Izmailov, R; Ness, L, Multi-scale local shape analysis and feature selection in machine learning applications, 2015 International Joint Conference on Neural Networks (Ijcnn), vol. 2015-September (July, 2015), pp. 1-8, IEEE
  7. Rouse, D; Watkins, A; Porter, D; Harer, J; Bendich, P; Strawn, N; Munch, E; DeSena, J; Clarke, J; Gilbert, J; Chin, P; Newman, A, Feature-aided multiple hypothesis tracking using topological and statistical behavior classifiers, Signal Processing, Sensor/Information Fusion, and Target Recognition Xxiv, vol. 9474 (May, 2015), SPIE, ISBN 9781628415902
  8. Liz Munch, Paul Bendich, Kate Turner, Sayan Mukherjee, Jonathan Mattingly, and John Harer, Probabalistic Frechet Means and Statistics on Vineyards, Electronic Journal of Statistics, vol. 9 (2015), pp. 1173-1204
  9. Christopher J Tralie and Paul Bendich, Cover Song Identification with Timbral Shape, Proceedings of the 16th International Society for Music Information Retrieval (2015), pp. 38-44
  10. Munch, E; Turner, K; Bendich, P; Mukherjee, S; Mattingly, J; Harer, J, Probabilistic Fr├ęchet means for time varying persistence diagrams, Electronic Journal of Statistics, vol. 9 no. 1 (2015), pp. 1173-1204, Institute of Mathematical Statistics
  11. Paul Bendich, Herbert Edelsbrunner, Dmitriy Morozov, and Amit Patel, Homology and Robustness of Level and Interlevel Sets, edited by Gunnar Carlsson, Homology, Homotopy, and Applications, vol. 15 no. 1 (March, 2013), pp. 51-72
  12. Bendich, P; Edelsbrunner, H; Morozov, D; Patel, A, Homology and robustness of level and interlevel sets, Homology, Homotopy and Applications, vol. 15 no. 1 (2013), pp. 51-72, International Press of Boston
  13. with Bendich, P; Cabello, S; Edelsbrunner, H, A point calculus for interlevel set homology, Pattern Recognition Letters, vol. 33 no. 11 (August, 2012), pp. 1436-1444, Elsevier BV, ISSN 0167-8655
  14. with Bendich, P; Wang, B; Mukherjee, S, Local homology transfer and stratification learning, Proceedings of the Annual Acm Siam Symposium on Discrete Algorithms (2012), pp. 1355-1370
  15. with Bendich, P; Galkovskyi, T; Harer, J, Improving homology estimates with random walks, Inverse Problems, vol. 27 no. 12 (December, 2011), pp. 124002-124002, IOP Publishing, ISSN 0266-5611
  16. with Bendich, P; Harer, J, Persistent Intersection Homology, Foundations of Computational Mathematics, vol. 11 no. 3 (June, 2011), pp. 305-336, Springer Nature, ISSN 1615-3375
  17. Bendich, P; Mukherjee, S; Wang, B, Stratification learning through homology inference, Aaai Fall Symposium Technical Report, vol. FS-10-06 (December, 2010), pp. 10-17
  18. with Bendich, P; Edelsbrunner, H; Kerber, M, Computing robustness and persistence for images., Ieee Transactions on Visualization and Computer Graphics, vol. 16 no. 6 (2010), pp. 1251-1260, ISSN 1077-2626
  19. Bendich, P; Mukherjee, S; Wang, B, Towards Stratification Learning through Homology Inference (August, 2010)
  20. with Bendich, P; Edelsbrunner, H; Morozov, D; Patel, A, The Robustness of Level Sets, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6346 LNCS no. PART 1 (2010), pp. 1-10, Springer Berlin Heidelberg, ISSN 0302-9743
  21. with Bendich, P; Edelsbrunner, H; Kerber, M; Patel, A, Persistent Homology under Non-uniform Error, Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 6281 LNCS (2010), pp. 12-23, Springer Berlin Heidelberg, ISSN 0302-9743
  22. with David Cohen-Steiner, Herbert Edelsbrunner, John Harer, and Dmitriy Morozov, Inferring Local Homology from Sampled Stratified Spaces, In Proceedings of the 48th Annual IEEE Symposium on Foundations of Computer Science, pages 536-546, 2007. (2007)

Papers Accepted

  1. Bendich, P; Chin, SP; Clark, J; Desena, J; Harer, J; Munch, E; Newman, A; Porter, D; Rouse, D; Strawn, N; Watkins, A, Topological and statistical behavior classifiers for tracking applications, Ieee Transactions on Aerospace and Electronic Systems, vol. 52 no. 6 (December, 2016), pp. 2644-2661, Institute of Electrical and Electronics Engineers (IEEE)
  2. Bendich, P; Marron, JS; Miller, E; Pieloch, A; Skwerer, S, Persistent Homology Analysis of Brain Artery Trees., The Annals of Applied Statistics, vol. 10 no. 1 (January, 2016), pp. 198-218, ISSN 1932-6157 (to appear.)

Papers Submitted

  1. Paul Bendich, Ellen Gasparovic, John Harer, and Christopher J. Tralie, Scaffoldings and Spines: Organizing High-Dimensional Data Using Cover Trees, Local Principal Component Analysis, and Persistent Homology (2016)
  2. Paul Bendich and Peter Bubenik, Stabilizing the output of persistent homology computations, Proc. 2016 Symposium on Computational Geometry (2015)