Michael Lindenbaum

Professor Emeritus

    1987 …2025

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    • 2020

      DPDist: Comparing Point Clouds Using Deep Point Cloud Distance

      Urbach, D., Ben-Shabat, Y. & Lindenbaum, M., 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 545-560 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Enhancing generic segmentation with learned region representations

      Isaacs, O., Shayer, O. & Lindenbaum, M., 2020, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 12943-12952 10 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • On the minimal recognizable image patch

      Fonaryov, M. & Lindenbaum, M., 2020, Proceedings - International Conference on Pattern Recognition. p. 6734-6741 8 p. (Proceedings - International Conference on Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Seeing Things in Random-Dot Videos

      Dagès, T., Lindenbaum, M. & Bruckstein, A. M., 2020, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 195-208 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2019

      Nesti-net: Normal estimation for unstructured 3D point clouds using convolutional neural networks

      Ben-Shabat, Y., Lindenbaum, M. & Fischer, A., Jun 2019, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 10104-10112 9 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2017

      Increasing CNN Robustness to Occlusions by Reducing Filter Support

      Osherov, E. & Lindenbaum, M., 22 Dec 2017, Proceedings of the IEEE International Conference on Computer Vision. p. 550-561 12 p. (Proceedings of the IEEE International Conference on Computer Vision).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2016

      Interpreting the ratio criterion for matching SIFT descriptors

      Kaplan, A., Avraham, T. & Lindenbaum, M., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 697-712 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2014

      Approximating hierarchical MV-sets for hierarchical clustering

      Glazer, A., Weissbrod, O., Lindenbaum, M. & Markovitch, S., 2014, Advances in Neural Information Processing Systems. January ed. Vol. 2. p. 999-1007 9 p. (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2013

      One-class background model

      Glazer, A., Lindenbaum, M. & Markovitch, S., 2013, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. p. 301-307 7 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2012

      A segmentation quality measure based on rich descriptors and classification methods

      Peles, D. & Lindenbaum, M., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 398-410 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Feature shift detection

      Glazer, A., Lindenbaum, M. & Markovitch, S., 2012, Proceedings - International Conference on Pattern Recognition. p. 1383-1386 4 p. (Proceedings - International Conference on Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Learning high-density regions for a generalized kolmogorov-smirnov test in high-dimensional data

      Glazer, A., Lindenbaoum, M. & Markovitch, S., 2012, Advances in Neural Information Processing Systems. p. 728-736 9 p. (Advances in Neural Information Processing Systems).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Learning implicit transfer for person re-identification

      Avraham, T., Gurvich, I., Lindenbaum, M. & Markovitch, S., 2012, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. p. 381-390 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2011

      Multiple region categorization for scenery images

      Avraham, T., Gurvich, I. & Lindenbaum, M., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 1 ed. p. 38-47 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
    • 2010

      Non-local characterization of scenery images: Statistics, 3D reasoning, and a generative model

      Avraham, T. & Lindenbaum, M., 2010, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PART 5 ed. p. 99-112 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
    • 2009

      Boundary ownership by lifting to 2.1D

      Leichter, I. & Lindenbaum, M., 2009, Proceedings of the IEEE International Conference on Computer Vision. p. 9-16 8 p. (Proceedings of the IEEE International Conference on Computer Vision).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Nonnegative matrix factorization with Earth Mover's Dmetric

      Sandler, R. & Lindenbaum, M., 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009. p. 1873-1880 8 p. (2009 IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2009).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2008

      Generalised blind sampling of images

      Devir, Z. & Lindenbaum, M., 2008, Proceedings - International Conference on Image Processing, ICIP. p. 2904-2907 4 p. (Proceedings - International Conference on Image Processing, ICIP).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Unsupervised estimation of segmentation quality using nonnegative factorization

      Sandler, R. & Lindenbaum, M., 2008, 26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR. (26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2007

      The analysis of saliency processes and its application to grouping cues design

      Golubchyck, R. & Lindenbaum, M., 2007, CBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing, Proceedings. p. 18-24 7 p. (CBMI'2007 - 2007 International Workshop on Content-Based Multimedia Indexing, Proceedings).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2006

      Esaliency-a stochastic attention model incorporating similarity information and knowledge-based preferences

      Avraham, T. & Lindenbaum, M., 2006, Inter. Workshop on the Representation and Use of Prior Knowledge in Vision (WRUPKV), with ECCV 2006.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Gabor filter analysis for texture segmentation

      Sandler, R. & Lindenbaum, M., 2006, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2005

      Artificial intelligence based system for automatic detection of coronary artery stenoses using multidetector CT coronary angiography

      Toledano, M., Lindenbaum, M., Lessick, J., Dragu, R., Ghersin, E. & Beyar, R., 2005, CIRCULATION. Vol. 112. p. U622-U622

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Inherent limitations of visual search and the role of inner-scene similarity

      Avraham, T. & Lindenbaum, M., 2005, Lecture Notes in Computer Science. Vol. 3368. p. 16-28 13 p. (Lecture Notes in Computer Science).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • On the equivalence of common approaches to lighting insensitive recognition

      Osadchy, M., Jacobs, D. W. & Lindenbaum, M., 2005, Proceedings of the IEEE International Conference on Computer Vision. p. 1721-1726 6 p. (Proceedings of the IEEE International Conference on Computer Vision).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2004

      A probabilistic framework for combining tracking algorithms

      Leichter, I., Lindenbaum, M. & Rivlin, E., 2004, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2. p. II445-II451 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • On the distribution of saliency

      Berengolts, A. & Lindenbaum, M., 2004, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2. p. II543-II549 (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 2000

      A probabilistic interpretation of the saliency network

      Lindenbaum, M. & Berengolts, A., 2000, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 257-272 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
    • Camera model selection based on Geometric AIC

      Kinoshita, K. & Lindenbaum, M., 2000, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. Vol. 2. p. 514-519 6 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • On the performance of connected components grouping

      Berengolts, A. & Lindenbaum, M., 2000, 21st IEEE Convention of the Electrical and Electronic Engineers in Israel, Proceedings. p. 189-192 4 p. (21st IEEE Convention of the Electrical and Electronic Engineers in Israel, Proceedings).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1999

      Selective sampling for nearest neighbor classifiers

      Lindenbaum, M., Markovich, S. & Rusakov, D., 1999, Proceedings of the National Conference on Artificial Intelligence. p. 366-371 6 p. (Proceedings of the National Conference on Artificial Intelligence).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1998

      A layered representation for model-based filtering and recognition

      Salman, M. & Lindenbaum, M., 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170). Vol. 1. p. 643-647 vol.1

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Ground from figure discrimination

      Amir, A. & Lindenbaum, M., 1998, Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 521-527 7 p. (Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Robotic exploration, brownian motion and electrical resistance

      Wagner, I. A., Lindenbaum, M. & Bruckstein, A. M., 1998, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 116-130 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Some trade-offs and a new algorithm for geometric hashing

      Hoffman, M. & Lindenbaum, M., 1998, Proceedings. Fourteenth International Conference on Pattern Recognition (Cat. No.98EX170). Vol. 2. p. 1700-1704 vol.2

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1997

      On-line graph searching by a smell-oriented vertex process

      Wagner, I., Lindenbaum, M. & Bruckstein, A., 1997, Proceedings of the AAAI Workshop on On-Line Search. p. 122-125 4 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1996

      An integrated model for evaluating the amount of data required for reliable recognition

      Lindenbaum, M., 1996, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 457-466 10 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Ant-algorithms for cooperative search in the presence of sensing-errors.

      Wagner, I. A. & Lindenbaum, M., 1996, Proc. 26th Israeli Conf. on Mechanical Engineering, 1996..

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Quantifying the reliability of feature-based object recognition

      Rudshtein, A. & Lindenbaum, M., 1996, Proceedings - International Conference on Pattern Recognition. p. 35-39 5 p. (Proceedings - International Conference on Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Quantitative analysis of grouping processes

      Amir, A. & Lindenbaum, M., 1996, Computer Vision --- ECCV '96. Buxton, B. & Cipolla, R. (eds.). Berlin, Heidelberg, p. 369-384 16 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Smell as a Computational Resource - A Lesson We Can Learn from the Ant

      Wagner, I. A., Lindenbaum, M. & Bruckstein, A. M., 1996, Fourth Israel Symposium on Theory of Computing and Systems, ISTCS 1996, Jerusalem, Israel, June 10-12, 1996, Proceedings. p. 219-230 12 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1995

      Learning distributions by their density levels - A paradigm for learning without a teacher

      Ben-David, S. & Lindenbaum, M., 1995, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 53-67 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1994

      Applying VC-dimension analysis to object recognition

      Lindenbaum, M. & Ben-David, S., 1994, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). p. 239-250 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
    • Blind Approximation of Planar Convex Shapes

      Lindenbaum, M. & Bruckstein, A. M., 1994, Shape in Picture. O, Y.-L., Toet, A., Foster, D., Heijmans, H. J. A. M. & Meer, P. (eds.). Berlin, Heidelberg, p. 415-422 8 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • On the amount of data required for reliable recognition

      Lindenbaum, M., 1994, Proceedings of 12th International Conference on Pattern Recognition. Vol. 1. p. 726-729 vol.1

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • On the metric properties of discrete space-filling curves

      Gotsman, C. & Lindenbaum, M., 1994, Proceedings - International Conference on Pattern Recognition. p. 98-102 5 p. (Proceedings - International Conference on Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • The farthest point strategy for progressive image sampling

      Eldar, Y., Lindenbaum, M., Porat, M. & Zeevi, Y. Y., 1994, Proceedings - International Conference on Pattern Recognition. p. 93-97 5 p. (Proceedings - International Conference on Pattern Recognition).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • 1993

      Finding Maximally Consistent Sets of Halfspaces.

      Efrat, A., Lindenbaum, M. & Sharir, M., 1993, CCCG 1992. p. 432-436 5 p.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

    • Localization vs. identification of semi-algebraic sets

      Ben-David, S. & Lindenbaum, M., 1993, Proc 6 Annu ACM Conf Comput Learn Theory. p. 327-336 10 p. (Proc 6 Annu ACM Conf Comput Learn Theory).

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

      Open Access
    • 1992

      A Popout Distractor impairs the visual search performance

      Yokozawa, K. & Lindenbaum, M., 1992, The Third International Conference on Visual search.

      Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review