Dan Feldman - Research output - Israeli Research Community Portal

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Research activity per year

38 Conference contribution
26 Article
8 Conference article
4 Paper
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2025

Provable Imbalanced Point Clustering
Denisov, D., Feldman, D., Dolev, S. & Segal, M., 1 Jan 2025, Cyber Security, Cryptology, and Machine Learning - 8th International Symposium, CSCML 2024, Proceedings. Dolev, S., Elhadad, M., Kutyłowski, M. & Persiano, G. (eds.). Springer Science and Business Media Deutschland GmbH, p. 79-91 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 15349 LNCS).
Ben-Gurion University of the Negev, University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2023
Deep Learning on Home Drone: Searching for the Optimal Architecture
Maalouf, A., Gurfinkel, Y., Diker, B., Gal, O., Rus, D. & Feldman, D., 2023, Proceedings - ICRA 2023: IEEE International Conference on Robotics and Automation. Institute of Electrical and Electronics Engineers Inc., p. 8208-8215 8 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2023-May).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2022
Coreset for Line-Sets Clustering
Lotan, S., Shayda, E. E. S. & Feldman, D., 2022, Advances in Neural Information Processing Systems 35 - 36th Conference on Neural Information Processing Systems, NeurIPS 2022. Koyejo, S., Mohamed, S., Agarwal, A., Belgrave, D., Cho, K. & Oh, A. (eds.). Neural information processing systems foundation, (Advances in Neural Information Processing Systems; vol. 35).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Newton-PnP: Real-time Visual Navigation for Autonomous Toy-Drones
Jubran, I., Fares, F., Alfassi, Y., Ayoub, F. & Feldman, D., 2022, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. p. 13363-13370 8 p. (IEEE International Conference on Intelligent Robots and Systems; vol. 2022-October).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Obstacle Aware Sampling for Path Planning
Tukan, M., Maalouf, A., Feldman, D. & Poranne, R., 2022, IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2022. Institute of Electrical and Electronics Engineers Inc., p. 13676-13683 8 p. (IEEE International Conference on Intelligent Robots and Systems; vol. 2022-October).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2021

Compressing Neural Networks: Towards Determining the Optimal Layer-wise Decomposition
Liebenwein, L., Maalouf, A., Gal, O., Feldman, D. & Rus, D., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). Neural information processing systems foundation, p. 5328-5344 17 p. (Advances in Neural Information Processing Systems; vol. 7).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Coresets for Decision Trees of Signals
Jubran, I., Sanches Shayda, E. E., Newman, I. & Feldman, D., 2021, Advances in Neural Information Processing Systems 34 - 35th Conference on Neural Information Processing Systems, NeurIPS 2021. Ranzato, MA., Beygelzimer, A., Dauphin, Y., Liang, P. S. & Wortman Vaughan, J. (eds.). p. 30352-30364 13 p. (Advances in Neural Information Processing Systems; vol. 36).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Efficient Coreset Constructions via Sensitivity Sampling
Braverman, V., Feldman, D., Lang, H., Statman, A. & Zhou, S., 1 May 2021, Proceedings of The 13th Asian Conference on Machine Learning. Vol. 157. p. 948-963 16 p. (Proceedings of Machine Learning Research).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Provably Approximated Point Cloud Registration
Jubran, I., Maalouf, A., Kimmel, R. & Feldman, D., 2021, Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV’21). Institute of Electrical and Electronics Engineers Inc., p. 13269-13278 10 p. (Proceedings of the IEEE International Conference on Computer Vision).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Resolving battery status and customer matching to create 24/7 drones based advertisement system
Danial, J., Ben Asher, Y. & Feldman, D., 2021, Proceedings - 2021 5th IEEE International Conference on Robotic Computing, IRC 2021. Institute of Electrical and Electronics Engineers Inc., p. 131-136 6 p. (Proceedings - 2021 5th IEEE International Conference on Robotic Computing, IRC 2021).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2020
Coresets for near-convex functions
Tukan, M., Maalouf, A. & Feldman, D., 2020, Conference on Neural Information Processing Systems (NeurIPS, formerly NIPS). Vol. 2020-December. (Advances in Neural Information Processing Systems).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Data-Independent Structured Pruning of Neural Networks via Coresets
Mussay, B., Feldman, D., Zhou, S., Braverman, V. & Osadchy, M., 2020, 8th International Conference on Learning Representations, ICLR 2020. 24 p.
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
On Coresets for Support Vector Machines
Tukan, M., Baykal, C., Feldman, D. & Rus, D., 2020, Theory and Applications of Models of Computation - 16th International Conference, TAMC 2020, Proceedings. Chen, J., Feng, Q. & Xu, J. (eds.). Springer Science and Business Media Deutschland GmbH, p. 287-299 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12337 LNCS).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Sets Clustering
Jubran, I., Tukan, M., Maalouf, A. & Feldman, D., 2020, 37th International Conference on Machine Learning, ICML 2020. Daume, H. & Singh, A. (eds.). p. 4961-4972 12 p. (37th International Conference on Machine Learning, ICML 2020; vol. PartF168147-7).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Tight Sensitivity Bounds for Smaller Coresets
Maalouf, A., Statman, A. & Feldman, D., 23 Aug 2020, KDD 2020 - Proceedings of the 26th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 2051-2061 11 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2019
Deterministic coresets for stochastic matrices with applications to scalable sparse pagerank
Lang, H., Baykal, C., Samra, N. A., Tannous, T., Feldman, D. & Rus, D., 2019, Theory and Applications of Models of Computation - 15th Annual Conference, TAMC 2019, Proceedings. Gopal, T. V. & Watada, J. (eds.). Springer Verlag, p. 410-423 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11436 LNCS).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Streaming coreset constructions for M-estimators
Braverman, V., Feldman, D., Lang, H. & Rus, D., Sep 2019, Approximation, Randomization, and Combinatorial Optimization. Algorithms and Techniques, APPROX/RANDOM 2019. Achlioptas, D. & Vegh, L. A. (eds.). Schloss Dagstuhl- Leibniz-Zentrum fur Informatik GmbH, Dagstuhl Publishing, p. 62:1—62:16 62. (Leibniz International Proceedings in Informatics, LIPIcs; vol. 145).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2018
Secure search on encrypted data via multi-ring sketch
Akavia, A., Feldman, D. & Shaul, H., 15 Oct 2018, CCS 2018 - Proceedings of the 2018 ACM SIGSAC Conference on Computer and Communications Security. Association for Computing Machinery, p. 985-1001 17 p. (Proceedings of the ACM Conference on Computer and Communications Security).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2017
Coresets for differentially private k-means clustering and applications to privacy in mobile sensor networks
Feldman, D., Xiang, C., Zhu, R. & Rus, D., 18 Apr 2017, Proceedings - 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017. p. 3-15 13 p. (Proceedings - 2017 16th ACM/IEEE International Conference on Information Processing in Sensor Networks, IPSN 2017).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Coresets for vector summarization with applications to network graphs
Feldman, D., Ozer, S. & Rus, D., 2017, 34th International Conference on Machine Learning, ICML 2017. p. 1847-1855 9 p. (34th International Conference on Machine Learning, ICML 2017; vol. 3).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2016
κ-means for streaming and distributed big sparse data
Barger, A. & Feldman, D., 2016, 16th SIAM International Conference on Data Mining 2016, SDM 2016. Venkatasubramanian, S. C. & Meira, W. (eds.). Society for Industrial and Applied Mathematics Publications, p. 342-350 9 p. (16th SIAM International Conference on Data Mining 2016, SDM 2016).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2015
Coresets for visual summarization with applications to loop closure
Volkov, M., Rosman, G., Feldman, D., Fisher, J. W. & Rus, D., 29 Jun 2015, IEEE International Conference on Robotics and Automation (ICRA) 2015. June ed. Institute of Electrical and Electronics Engineers Inc., Vol. 2015-June. p. 3638-3645 8 p. (Proceedings - IEEE International Conference on Robotics and Automation; vol. 2015-June, no. June).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Fleye on the car: Big data meets the Internet of Things
Nasser, S., Barry, A., Doniec, M., Peled, G., Rosman, G., Rus, D., Volkov, M. & Feldman, D., 13 Apr 2015, IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week). p. 382-383 2 p. (IPSN 2015 - Proceedings of the 14th International Symposium on Information Processing in Sensor Networks (Part of CPS Week)).
University of Haifa
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
More constraints, smaller coresets: Constrained matrix approximation of sparse big data
Feldman, D. & Tassa, T., 10 Aug 2015, KDD 2015 - Proceedings of the 21st ACM SIGKDD Conference on Knowledge Discovery and Data Mining. Association for Computing Machinery, p. 249-258 10 p. (Proceedings of the ACM SIGKDD International Conference on Knowledge Discovery and Data Mining; vol. 2015-August).
University of Haifa, Open University of Israel
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2014
Coresets for k-segmentation of streaming data
Rosman, G., Volkov, M., Feldman, D., Fisher, J. W. & Rus, D., 2014, Advances in Neural Information Processing Systems )NIPS) 2014. January ed. Vol. 1. p. 559-567 9 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Smallest enclosing ball for probabilistic data
Munteanu, A., Sohler, C. & Feldman, D., 2014, Proceedings of the 30th Annual Symposium on Computational Geometry, SoCG 2014. Association for Computing Machinery, p. 214-223 10 p. (Proceedings of the Annual Symposium on Computational Geometry).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Visual precis generation using coresets
Paul, R., Feldman, D., Rus, D. & Newman, P., 22 Sep 2014, IEEE International Conference on Robotics and Automation (ICRA) 2014. Institute of Electrical and Electronics Engineers Inc., p. 1304-1311 8 p. (Proceedings - IEEE International Conference on Robotics and Automation).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
2013
IDiary: From GPS signals to a text-searchable diary
Feldman, D., Sugaya, A., Sung, C. & Rus, D., 2013, SenSys 2013 - Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems. Association for Computing Machinery, p. 6:1-6:12 6. (SenSys 2013 - Proceedings of the 11th ACM Conference on Embedded Networked Sensor Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
K-robots clustering of moving sensors using coresets
Feldman, D., Gil, S., Knepper, R. A., Julian, B. & Rus, D., 2013, 2013 IEEE International Conference on Robotics and Automation, ICRA 2013. p. 881-888 8 p. 6630677. (Proceedings - IEEE International Conference on Robotics and Automation).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
Turning Big data into tiny data: Constant-size coresets for k-means, PCA and projective clustering
Feldman, D., Schmidt, M. & Sohler, C., 2013, Proceedings of the 24th Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2013. Association for Computing Machinery, p. 1434-1453 20 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2012
An effective coreset compression algorithm for large scale sensor networks
Feldman, D., Sugaya, A. & Rus, D., 2012, IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks. p. 257-268 12 p. (IPSN'12 - Proceedings of the 11th International Conference on Information Processing in Sensor Networks).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Communication coverage for independently moving robots
Gil, S., Feldman, D. & Rus, D., 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012. p. 4865-4872 8 p. 6386226. (IEEE International Conference on Intelligent Robots and Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Data reduction for weighted and outlier-resistant clustering
Feldman, D. & Schulman, L. J., 2012, Proceedings of the 23rd Annual ACM-SIAM Symposium on Discrete Algorithms, SODA 2012. Association for Computing Machinery, p. 1343-1354 12 p. (Proceedings of the Annual ACM-SIAM Symposium on Discrete Algorithms).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review
From high definition image to low space optimization
Feigin, M., Feldman, D. & Sochen, N., 2012, Scale Space and Variational Methods in Computer Vision - Third International Conference, SSVM 2011, Revised Selected Papers. p. 459-470 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 6667 LNCS).
Tel Aviv University
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
The single pixel GPS: Learning big data signals from tiny coresets
Feldman, D., Sung, C. & Rus, D., 2012, 20th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2012. p. 23-32 10 p. (GIS: Proceedings of the ACM International Symposium on Advances in Geographic Information Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Trajectory clustering for motion prediction
Sung, C., Feldman, D. & Rus, D., 2012, 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS 2012. p. 1547-1552 6 p. 6386017. (IEEE International Conference on Intelligent Robots and Systems).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
2011
A unified framework for approximating and clustering data
Feldman, D. & Langberg, M., 2011, STOC'11 - Proceedings of the 43rd ACM Symposium on Theory of Computing. Association for Computing Machinery, p. 569-578 10 p. (Proceedings of the Annual ACM Symposium on Theory of Computing).
Open University of Israel
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Open Access
Scalable training of mixture models via coresets
Feldman, D., Faulkner, M. & Krause, A., 2011, Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011. (Advances in Neural Information Processing Systems 24: 25th Annual Conference on Neural Information Processing Systems 2011, NIPS 2011).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review