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Michael Bronstein

Professor

Former affiliation
20022023

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  • 2018

    New achievements in 3D hand shape recognition

    Svoboda, J. & Bronstein, M., 1 Jan 2018, Hand-Based Biometrics: Methods and Technology. Institution of Engineering and Technology, p. 309-336 28 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Partial Single- and Multishape Dense Correspondence Using Functional Maps

    Litany, O., Rodolà, E., Bronstein, A., Bronstein, M. & Cremers, D., 2018, Processing, Analyzing and Learning of Images, Shapes, and Forms: Part 1. Kimmel, R. & Tai, X-C. (eds.). Elsevier B.V., p. 55-90 36 p. (Handbook of Numerical Analysis; vol. 19).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2016

    Sparse models for intrinsic shape correspondence

    Pokrass, J., Bronstein, A. M., Bronstein, M. M., Sprechmann, P. & Sapiro, G., 2016, Mathematics and Visualization. 9783319247243 ed. Springer Heidelberg, p. 211-230 20 p. (Mathematics and Visualization; vol. 0, no. 9783319247243).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2015

    Manifold intrinsic similarity

    Bronstein, A. M. & Bronstein, M. M., 1 Jan 2015, Handbook of Mathematical Methods in Imaging: Volume 1, Second Edition. Springer New York, p. 1859-1908 50 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2014

    Descriptor learning for omnidirectional image matching

    Masci, J., Migliore, D., Bronstein, M. M. & Schmidhuber, J., 2014, Registration and Recognition in Images and Videos. Springer Verlag, p. 49-62 14 p. (Studies in Computational Intelligence; vol. 532).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Feature-based methods in 3D shape analysis

    Bronstein, A. M., Bronstein, M. M. & Ovsjanikov, M., 1 Jun 2014, 3D Imaging, Analysis and Applications. Springer-Verlag London Ltd, Vol. 9781447140634. p. 185-219 35 p.

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2004

    Blind deconvolution using the relative newton method

    Bronstein, A. M., Bronstein, M. M. & Zibulevsky, M., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 554-561 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Blind source separation using the block-coordinate relative newton method

    Bronstein, A. M., Bronstein, M. M. & Zibulevsky, M., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 406-413 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Face recognition from facial surface metric

    Bronstein, A. M., Bronstein, M. M., Spira, A. & Kimmel, R., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Pajdla, T. & Matas, J. (eds.). Springer Verlag, p. 225-237 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3022).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • Optimal sparse representations for blind deconvolution of images

    Bronstein, A. M., Bronstein, M. M., Zibulevsky, M. & Zeevi, Y. Y., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 500-507 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • QML blind deconvolution: Asymptotic analysis

    Bronstein, A. M., Bronstein, M. M., Zibulevsky, M. & Zeevi, Y. Y., 2004, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Puntonet, C. G. & Prieto, A. (eds.). Springer Verlag, p. 677-684 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 3195).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

  • 2003

    Expression-Invariant 3D Face Recognition

    Bronstein, A. M., Bronstein, M. M. & Kimmel, R., 2003, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Kittler, J. & Nixon, M. S. (eds.). Springer Verlag, p. 62-69 8 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 2688).

    Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review