Persistence-based clustering in Riemannian manifolds F Chazal, LJ Guibas, SY Oudot, P Skraba
Journal of the ACM (JACM) 60 (6), 1-38, 2013
237 2013 Persistence-based segmentation of deformable shapes P Skraba, M Ovsjanikov, F Chazal, L Guibas
2010 IEEE Computer Society Conference on Computer Vision and Pattern …, 2010
122 2010 Zigzag persistent homology in matrix multiplication time N Milosavljević, D Morozov, P Skraba
Proceedings of the twenty-seventh Annual Symposium on Computational Geometry …, 2011
121 2011 Analysis of scalar fields over point cloud data F Chazal, LJ Guibas, SY Oudot, P Skraba
Proceedings of the twentieth annual ACM-SIAM symposium on Discrete …, 2009
87 2009 Cross-layer optimization for high density sensor networks: Distributed passive routing Decisions P Škraba, H Aghajan, A Bahai
International Conference on Ad-Hoc Networks and Wireless, 266-279, 2004
58 2004 Sweeps over wireless sensor networks P Skraba, Q Fang, A Nguyen, L Guibas
Proceedings of the 5th international conference on Information processing in …, 2006
53 2006 Maximally persistent cycles in random geometric complexes O Bobrowski, M Kahle, P Skraba
The Annals of Applied Probability 27 (4), 2032-2060, 2017
52 2017 Lightweight coloring and desynchronization for networks A Motskin, T Roughgarden, P Skraba, L Guibas
IEEE INFOCOM 2009, 2383-2391, 2009
47 2009 News across languages-cross-lingual document similarity and event tracking J Rupnik, A Muhic, G Leban, P Skraba, B Fortuna, M Grobelnik
Journal of Artificial Intelligence Research 55, 283-316, 2016
38 2016 Topological function optimization for continuous shape matching A Poulenard, P Skraba, M Ovsjanikov
Computer Graphics Forum 37 (5), 13-25, 2018
33 2018 Scalar field analysis over point cloud data F Chazal, LJ Guibas, SY Oudot, P Skraba
Discrete & Computational Geometry 46 (4), 743, 2011
30 2011 Cohomological learning of periodic motion M Vejdemo-Johansson, FT Pokorny, P Skraba, D Kragic
Applicable algebra in engineering, communication and computing 26 (1), 5-26, 2015
29 2015 2D vector field simplification based on robustness P Skraba, B Wang, G Chen, P Rosen
2014 IEEE Pacific Visualization Symposium, 49-56, 2014
28 2014 Topological analysis of recurrent systems P Skraba, V de Silva, M Vejdemo-Johansson
NIPS 2012 Workshop on Algebraic Topology and Machine Learning, December 8th …, 2012
28 2012 A spectral sequence for parallelized persistence D Lipsky, P Skraba, M Vejdemo-Johansson
arXiv preprint arXiv:1112.1245, 2011
27 2011 A topology layer for machine learning R Brüel-Gabrielsson, BJ Nelson, A Dwaraknath, P Skraba, LJ Guibas, ...
arXiv preprint arXiv:1905.12200, 2019
24 2019 Energy efficient intrusion detection in camera sensor networks P Skraba, L Guibas
International Conference on Distributed Computing in Sensor Systems, 309-323, 2007
20 2007 Visualizing robustness of critical points for 2D time‐varying vector fields B Wang, P Rosen, P Skraba, H Bhatia, V Pascucci
Computer Graphics Forum 32 (3pt2), 221-230, 2013
19 2013 Randomly Weighted P Skraba, G Thoppe, D Yogeshwaran
arXiv preprint arXiv:1701.00239, 2017
18 2017 A comparison of relaxations of multiset cannonical correlation analysis and applications J Rupnik, P Skraba, J Shawe-Taylor, S Guettes
arXiv preprint arXiv:1302.0974, 2013
16 2013 
Leonidas GuibasProfessor of Computer Science, Stanford UniversityDirección de correo verificada de cs.stanford.edu
