DateResearch CategoryCo-Authors

Date

201420132012201120102009200820072006200520042003200120001999199819971996199519941993199219911990198919881986


2014

  1. Glazer, A, Weissbrod, O, Lindenbaum, M, and Markovitch, S. Hierarchical MV-sets for Hierarchical Clustering. In The 28th Conference on Neural Information Processing Systems (NIPS-2014), 2014. BibTeX    
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2013

  1. Avraham, T. and Lindenbaum, M.. Learning Appearance Transfer for Person Re-Identification. In Gong, S., Cristani, M., Yan, S., and Loy, C.C., editors, Springer, 2013. BibTeX    
  2. Brand, Y., Avraham, T., and Lindenbaum, M. . Transitive Re-identification. In British Machine Vision conference, BMVC-13, 2013. BibTeX    
  3. Glazer, A., Lindenbaum, M., and Markovitch, S.. q-OCSVM: A q-Quantile Estimator for High-Dimensional Distributions. In The 27th Conference on Neural Information Processing Systems (NIPS-2013), 2013. BibTeX    
  4. Miaskouvskey, A., Gousseau, Y., and Lindenbaum, M.. Beyond independence: An extension of the a contrario decision procedure. In Int. J. Computer Vision, pp. 22–44, 2013. BibTeX    
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2012

  1. Avraham, T., Gurevich, I., Lindenbaum, M., and Markovitch, S.. Learning Implicit Transfer for Person Re-identification. In 1st International Workshop on Re-Identification (Re-Id 2012) In conjunction with ECCV 2012, LNCS 7583,, pp. 381–390, 2012. BibTeX    
  2. Devir, Z. and Lindenbaum, M.. Blind progressive wavelet sampling. IEEE Trans. Image Processing, 21 (4):1478–1487, 2012. BibTeX    
  3. Glazer, A., Lindenbaum, M., and Markovitch, S.. Learning High-Density Regions for a Generalized Kolmogorov-Smirnov Test in High-Dimensional Data. In The 26th Conference on Neural Information Processing Systems (NIPS-2012), pp. 737–745, 2012. BibTeX    
  4. Glazer, A., Lindenbaum, M., and Markovitch, S.. One-Class Background Model. In 1st ACCV Workshop on Background Models Challenge (BMC), pp. 301–307, 2012. BibTeX    
  5. Glazer, A., Lindenbaum, M., and Markovitch, S.. Feature Shift Detection. In 21st International Conference on Pattern Recognition (ICPR-2012), pp. 1383–1386, 2012. BibTeX    
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2011

  1. Avraham, T., Gurevich, I., and Lindenbaum, M.. Multiple Region Categorization for Scenery Images. In the 16th International Conference on Image Analysis and Processing, pp. 38–47, 2011. BibTeX    
  2. Avraham, T., Yeshurun, Y., and Lindenbaum, M.. Visual searchModeling Combined Proximity-Similarity Effects in Visual Search. J. Vision, 11(11), 2011. BibTeX    
  3. Peles, D. and Lindenbaum, M.. A Segmentation Quality Measure Based on Rich Descriptors and Classification Methods. In SSVM, pp. 398–410, 2011. BibTeX    
  4. Rozenfeld, S., Shimshoni, I., and Lindenbaum, M.. Dense Mirroring Surface Recovery from 1D Homographies and Sparse Correspondences. IEEE Transactions on Pattern Analysis and Machine Intelligence, 33(2):325–337, 2011. BibTeX    
  5. R. Sandler and Lindenbaum, M.. Nonnegative Matrix Factorization with Earth Mover's Distance Metric for Image Analysis. IEEE Trans. Pattern Anal. Mach. Intell., 33(8):1590–1602, 2011. BibTeX    
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2010

  1. Avraham, T. and Lindenbaum, M.. Esaliency(Extended Saliency): MeaningfulAttention using Stochastic Image Modeling. IEEE Trans. Pattern Analysis and Machine Intelligence, 32(4):693–708, 2010. BibTeX    
  2. Avraham, T. and Lindenbaum, M.. Non-local Characterization of Scenery Images: Statistics, 3D Reasoning, and a Generative Model. In ECCV (5), pp. 99–112, 2010. BibTeX    
  3. Leichter, I., Lindenbaum, M., and Rivlin, E.. Mean Shift Tracking with Multiple Reference Color Histograms. Comp. Vis. Im. Understanding, 114(3):400–408, 2010. BibTeX    
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2009

  1. Leichter, I., Lindenbaum, M., and Rivlin, E.. Tracking by Affine Kernel Transformations Using Color and Boundary Cues. \em IEEE Trans. Pattern Analysis and Machine Intelligence, 31(1):164–173, 2009. BibTeX    
  2. Leichter, I. and Lindenbaum, M.. Boundary Ownership by Lifting to 2.5D. In Proc. IEEE Conf. Computer Vision - ICCV09, 2009. BibTeX    
  3. Sandler, R. and Lindenbaum, M.. Optimizing Gabor Filter Design for Texture Edge Detection and Classification. Int. J. of Computer Vision, 84(3):308–324, 2009. BibTeX    
  4. Sandler, R. and Lindenbaum, M.. Nonnegative Matrix Factorization with Earth Movers Distance metric. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR09, 2009. BibTeX    
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2008

  1. Devir, Z. and Lindenbaum, M.. Generalized Blind Sampling of Images. In International Conference on Image Processing - ICIP08, pp. 2904–2907, 2008. BibTeX    
  2. Kolomenkin, M., Polak, S., Shimshoni, I., and Lindenbaum, M.. A Geometric Voting Algorithm for Star Trackers. IEEE Trans. on Aerospace and Electronic Systems, 44(2):441–456, 2008. BibTeX    
  3. Leichter, I., Lindenbaum, M., and Rivlin, E.. Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions. IEEE Trans. Pattern Analysis and Machine Intelligence, 30(9):1572–1588, 2008. BibTeX    
  4. Sandler, R. and Lindenbaum, M.. Unsupervised estimation of segmentation quality using nonnegative factorization. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR08, 2008. BibTeX    
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2007

  1. Devir, D. and Lindenbaum, M.. Adaptive Range Sampling Using a Stochastic Model. Journal of Computing and Information Science in Engineering, 7(1):20–25, 2007. BibTeX    
  2. Golubchyck, R. and Lindenbaum, M.. The analysis of Saliency Processes and its Application to grouping Cues Design. In Int. workshop on Content Based Multimedia Indexing, pp. 18–24, 2007. BibTeX    
  3. Leichter, I., Lindenbaum, M., and Rivlin, E.. Visual Tracking by Affine Kernel Fitting Using Color and Object Boundary. In Proc. IEEE International Conference on Computer Vision (ICCV'07), 2007. BibTeX    
  4. Osadchy, M., Jacobs, D., and Lindenbaum, M.. Surface Dependent Representations for Illumination Insensitive Image Comparison. IEEE Trans. Pattern Analysis and Machine Intelligence, 29(1):98–111, January 2007. BibTeX    
  5. Rozenfeld, S., Shimshoni, I., and Lindenbaum, M.. Dense mirroring surface recovery from 1D homographies and sparse correspondences. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR07, 2007. BibTeX    
  6. Yeshurun, Y., Avraham, T., and Lindenbaum, M.. Evaluating the ability of visual search models suggested for computer-vision to predict human performance. In Proc. Vision Science Society Annual Meeting (VSS07), pp. 722, 2007. (abstract) BibTeX    
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2006

  1. Avraham, T. and Lindenbaum, M.. Attention-based Dynamic Visual Search UsingInner-Scene Similarity: Algorithms and Bounds. IEEE Trans. Pattern Analysis and Machine Intelligence, 28(2):251– 264, 2006. BibTeX    
  2. Avraham, T. and Lindenbaum, M.. Extended Saliency - An attention mechanism for multiple target scenes. In Int. Workshop on the Representation and Use of Prior Knowledge in Vision (ECCV workshop), 2006. BibTeX    
  3. Avraham, T., Yeshurun, Y., and Lindenbaum, M.. Predicting Visual-Search Performance by Quantifying Stimuli Similarities. Journal of Vision, 2006. BibTeX    
  4. Berengolts, A. and Lindenbaum, M.. On the Distribution of Saliency. IEEE Trans. Pattern Analysis and Machine Intelligence, 28(12):1973–1990, 2006. BibTeX    
  5. Leichter, I., Lindenbaum, M., and Rivlin, E.. A General Framework for Combining Visual Trackers -- The “Black Boxes” Approach. Int. J. of Computer Vision, 67(3):343–363, 2006. BibTeX    
  6. Leichter, I., Lindenbaum, M., and Rivlin, E.. Bittracker - A Bitmap Tracker for Visual Tracking under Very General Conditions. In IEEE International Workshop on Visual Surveillance (ECCV workshop), pp. 17–24, 2006. BibTeX    
  7. Sandler, R. and Lindenbaum, M.. Gabor Filters Design for Texture Discrimination. In IEEE Workshop on Perceptual Organization in Computer Vision (CVPR workshop), pp. 178, 2006. BibTeX    
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2005

  1. Avraham, T. and Lindenbaum, M.. Inherent Limitations of Visual Search and the Role of Inner-scene Similarity. In L. Paletta et al., editors, Lecture Notes in Computer Science , pp. 16–28, Springer-Verlag, Heidelberg, 2005. BibTeX    
  2. Lindenbaum, M., Samet, H., and Hjaltason, G.R.. A Probabilistic Analysis of Trie-Based Sorting ofLarge Collections of Line Segments in Spatial Databases. SIAM Journal on Computing, 35(1):22–58, 2005. BibTeX    
  3. Osadchy, M., Jacobs, D., and Lindenbaum, M.. On the Equivalence of Common Approaches to Lighting Insensitive Recognition. In Proc. Int. Conference on Computer Vision - ICCV05, pp. II: 1721–1726, 2005. BibTeX    
  4. Toledano, M., Lindenbaum, M., Lessick, J., Dragu, R., Ghersin, E., Engel, A., and Beyar, R.. Artificial Intelligence based system for Automatic Detection of Coronary Artery Stenoses using Multidetector CT Coronary Angiography. In American Heart Association Conference, 2005. (abstract) BibTeX    
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2004

  1. Avraham, T. and Lindenbaum, M.. Dynamic Visual Search Using Inner-Scene Similarity:Algorithms and Inherent Limitations. In Proc. of the 8th European Conference on Computer Vision - ECCV04, pp. 58–70, 2004. BibTeX    
  2. Avraham, T. and Lindenbaum, M.. Inherent limitations of Visual Search and the Role of Inner-Scene Similarity. In International Workshop on Attention and Performance in Computational Vision (WAPCV04), 2004. BibTeX    
  3. Berengolts, A. and Lindenbaum, M.. On the distribution of Saliency. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR04, pp. II: 543–549, 2004. BibTeX    
  4. Engbers, E.A., Lindenbaum, M., and Smeulders, A.W.M.. An Information-Based Measure for Grouping Quality. In Proc. of the 8th European conference on Computer Vision - ECCV04, pp. 392–404, 2004. BibTeX    
  5. Leichter, I., Lindenbaum, M., and Rivlin, E.. A probabilistic framework for combining tracking algorithms. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR04, pp. II: 445–451, 2004. BibTeX    
  6. Leichter, I., Lindenbaum, M., and Rivlin, E.. A probabilistic cooperation between trackers of coupled objects. In International Conference on Image Processing - ICIPO4, pp. 1045 – 1048, 2004. BibTeX    
  7. Lindenbaum, M., Markovitch, S., and Rusakov, D.. Selective Sampling for Nearest Neighbor Classifiers. Machine Learning, 54(2):125–152, 2004. BibTeX    
  8. Osadchy, M., Lindenbaum, M., and Jacobs, D.. Whitening for Photometric Comparison of Smooth Surfaces under VaryingIllumination. In Proc. of the 8th European Conference on Computer Vision - ECCV04, pp. 217–228, 2004. BibTeX    
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2003

  1. Jacobs, D. and Lindenbaum, M.. Eds. Perceptual Organization in Computer Vision. Two special sections of \em IEEE Trans. on Pattern Analysis and Machine Intelligence IEEE-PAMI 25 (4), 2003 and IEEE-PAMI 25(6), 2003, 2003. BibTeX    
  2. Osdachy, R., Lindenbaum, M., and Jacobs, D.J.. Whitening for photometric comparison of smooth surfaces. In Int'l Workshop on Statistical and Computational Theories in Vision, 2003. BibTeX    
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2001

  1. Berengolts, A. and Lindenbaum, M.. On the Performance of Connected Components Grouping. Int. J. of Computer Vision, 41(3):195–216, 2001. BibTeX    
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2000

  1. Berengolts, A. and Lindenbaum, M.. An Observation on Saliency. In K.L. Boyer and S. Sarkar, editors, Kluwer, 2000. BibTeX    
  2. Kinoshita, K. and Lindenbaum, M.. Camera model selection based on Geometric AIC. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR00, pp. II:514–519, 2000. BibTeX    
  3. Kinoshita, K. and Lindenbaum, M.. Robotic Control with Partial Visual Information. Int. J. of Computer Vision, 37(1):65–78, 2000. BibTeX    
  4. Levy, A. and Lindenbaum, M.. Sequential Karhunen-Loeve Basis Extraction and its Application to Images. IEEE Transactions on Image Processing, IP-9(8):1371–1374, 2000. BibTeX    
  5. Lindenbaum, M. and Berengolts, A.. A Probabilistic Interpretation of the Saliency Network. In Proc. of the 6th European conference on Computer Vision - ECCV00, pp. II:257–272, 2000. BibTeX    
  6. Shimshoni, I., Moses, Y., and Lindenbaum, M.. Shape Reconstruction of 3D Bilaterally Symmetric Surfaces. Int. J. of Computer Vision, 39(2):97–110, 2000. BibTeX    
  7. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. ANTS: Agents, Networks, Trees, and Subgraphs. In pp. 915–926, North Holland, 2000. BibTeX    
  8. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. MAC vs. PC - Determinism and Randomness as Complementary Approaches to Robotic Exploration of Continuous Unknown Domains. International Journal of Robotics Research, 19(1):12–31, 2000. BibTeX    
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1999

  1. Amir, A. and Lindenbaum, M.. Ground from Figure Discrimination. Comp. Vis. Im. Understanding, 76(1):7–18, October 1999. BibTeX    
  2. Lindenbaum, M. and Ben-David, S.. VC-Dimension Analysis of Object Recognition Tasks. Journal of Mathematical Imaging and Vision, 10(1):27–49, 1999. BibTeX    
  3. Lindenbaum, M., Markovitch, S., and Rusakov, D.. Selective Sampling for Nearest Neighbor Classifiers. In Proceedings of the Sixteenth National Conference on Artificial Intelligence, pp. 366–371, Orlando, Florida, 1999. BibTeX    
  4. Shimshoni, I., Moses, Y., and Lindenbaum, M.. Auto Photometric/Geometric Stereo from a Single Image orClass Based Reconstruction of Bilaterally Symmetric Objects. In ICIAP, pp. 76–81, 1999. BibTeX    
  5. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. Distributed Covering by Ant-Robots using Evaporating Traces. IEEE Transactions on Robotics and Automation, 15(5):918–933, 1999. BibTeX    
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1998

  1. Amir, A. and Lindenbaum, M.. A Generic Grouping Algorithm and its Quantitative Analysis. PAMI, 20(2):168–185, 1998. BibTeX    
  2. Amir, A. and Lindenbaum, M.. Grouping based Non-additive Verification. IEEE Trans. Pattern Analysis and Machine Intelligence, 20(2):186–192, 1998. See CIS Report 9518, CS Dept. Technion, 1996. BibTeX    
  3. Amir, A. and Lindenbaum, M.. Ground from Figure Discrimination. In Proc. IEEE Conf. Computer Vision and Pattern Recognition - CVPR98, pp. 521–527, 1998. BibTeX    
  4. Ben-David, S. and Lindenbaum, M.. Localization vs. Identification of Semi-Algebraic Sets. Machine Learning, 32:207–224, 1998. BibTeX    
  5. Berengolts, A. and Lindenbaum, M.. On the Performance of Connected Components Grouping. In Presented the IEEE Workshop on perceptual Organization in Computer Vision (POCV99), 1998. See CIS Report 9905, CS Dept. Technion, 1999. BibTeX    
  6. Hoffman, M. and Lindenbaum, M.. Some tradeoffs and a new algorithm for Geometric Hashing. In Proc. of the 13th International Conference on Pattern Recognition - ICPR98, pp. 1700–1704, 1998. BibTeX    
  7. Kinoshita, K. and Lindenbaum, M.. Robotic Control with Partial Visual Information. In Proc. Int. Conference on Computer Vision - ICCV98, pp. 883–888, 1998. BibTeX    
  8. Levy, A. and Lindenbaum, M.. Sequential Karhunen-Loeve Basis Extraction. In International Conference on Image Processing - ICIP98, 1998. Demonstrated also in ICCV01, vol II. p. 739, 2001 BibTeX    
  9. Salman, M. and Lindenbaum, M.. A Layered Representation for Model-Based Filtering and Recognition. In Proc. of the 13th International Conference on Pattern Recognition - ICPR98, pp. 643–647, 1998. BibTeX    
  10. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. Efficiently Searching a Graph by a Smell Oriented Vertex Process. Annals of Mathematics and Artificial Intelligence, 24:211–223, 1998. BibTeX    
  11. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. Robotic Exploration, Brownian Motion and Electrical Resistance. In Random'98, 2nd International Workshop on Randomization andApproximation Techniques in Computer Science, pp. 116–130, Barcelona, 1998. BibTeX    
  12. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. Efficiently Exploring a Continuous Unknown Domain by an Ant-Inspired Process. In ANTS'98 - From Ant Colonies to Artificial Ants: 1st International Workshop on Ant Colony Optimization , Brussels, October 1998. BibTeX    
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1997

  1. Amir, A. and Lindenbaum, M.. Grouping based Non-additive Verification. In C. Arcelli, L.P. Cordella, and G. Saniti di Baja, editors, pp. 1–10, 1997. BibTeX    
  2. Amir, A. and Lindenbaum, M.. Grouping based Non-Additive Verification. Proc. Third International Workshop on Visual form, 1997. BibTeX    
  3. Ben-David, S. and Lindenbaum, M.. Learning Distributions by their Density Levels - A Paradigmfor Learning Without a Teacher. Journal of Computer and System Science, 55(1):171–181, 1997. BibTeX    
  4. Eldar, Y., Lindenbaum, M., Porat, M., and Zeevi, Y.Y.. The Farthest Point Strategy for Progressive Image Sampling. IEEE Transactions on Image Processing, IP-6(9):1305–1315, 1997. BibTeX    
  5. Lindenbaum, M.. An integrated Model for Evaluating the Amount of Data Required for Reliable Recognition. IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-19(11):1251–1264, 1997. BibTeX    
  6. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. On-Line Graph Searching by a Smell-Oriented Vertex Process. In AAAI-97 Workshop on On-line search, pp. 122–125, 1997. BibTeX    
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1996

  1. Amir, A. and Lindenbaum, M.. Quantitative Analysis of Grouping Processes. In Proc. of the 4th European conference on Computer Vision - ECCV96, pp. I:371–384, 1996. BibTeX    
  2. Gotsman, C. and Lindenbaum, M.. On the Metric Properties of Discrete Space Filling Curves. IEEE Transactions on Image Processing, IP-5:794–797, 1996. BibTeX    
  3. Lindenbaum, M.. On the Amount of Information Required for Reliable Recognition. In S.Z. Li, D.P. Mital, E.K. Teoh, and H. Wang, editors, Lecture Notes on Computer Science, pp. 457–466, Springer-Verlag, 1996. BibTeX    
  4. Rudshtein, A. and Lindenbaum, M.. Quantifying the performance of feature-based recognition. In International Conference on Pattern Recognition, pp. 35–39, 1996. BibTeX    
  5. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. Smell as a Computational Resource - A Lesson We Can Learn from the Ant. In Proc. ISTCS'96 - 4th Israel Symposium on the Theory of Computing and Systems, pp. 219–230, 1996. BibTeX    
  6. Wagner, I.A., Lindenbaum, M., and Bruckstein, A.M.. Ant-Algorithms for Cooperative Search in the Presence of Sensing-Errors. In Proc. 26th Israeli Conf. on Mechanical Engineering, 1996. BibTeX    
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1995

  1. Ben-David, S. and Lindenbaum, M.. Learning Distributions by their Density Levels - A Paradigm for Learning Without a Teacher. In Proc. of the Second European Conference on Computational Learning Theory, 1995. BibTeX    
  2. Gotsman, C. and Lindenbaum, M.. Euclidean Voronoi labeling on the multidimensional grid. Pattern Recognition Letters, 16:409–415, 1995. BibTeX    
  3. Lindenbaum, M.. Bounds on Shape Recognition Performance. IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-17(7):666–680, 1995. See also CIS report 9329, CS Dept. Technion, 1993 BibTeX    
  4. Lindenbaum, M.. On the Amount of Information Required for Reliable Recognition. In Proc. 2nd Asian Conference on Computer Vision (ACCV), Singapore, December 1995. (invited) BibTeX    
  5. Murase, H. and Lindenbaum, M.. Spatial Temporal adaptive Method for partial EigenstructureDecomposition of Large Image Matrices. IEEE Transactions on Image Processing, IP-4(5):620–629, 1995. BibTeX    
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1994

  1. Eldar, Y., Lindenbaum, M., Porat, M., and Zeevi, Y.Y.. The Farthest Point Strategy for Progressive Image Sampling. In Proceedings of the 12th International Conference on Pattern Recognition, pp. 93–97, 1994. BibTeX    
  2. Gotsman, C. and Lindenbaum, M.. On the Metric Properties of Discrete Space Filling Curves. In Proceedings of the 12th International Conference on Pattern Recognition, pp. 98–102, 1994. BibTeX    
  3. Katzir, N., Lindenbaum, M., and Porat, M.. Curve Segmentation under Partial Occlusion. IEEE Trans. Pattern Analysis and Machine Intelligence, 16(5):513–519, May 1994. BibTeX    
  4. Lindenbaum, M. and Bruckstein, A.M.. Blind Approximation of Planar Convex shapes. In Y.L. O, A. Toet, D. Foster, H.J.A.M. Heijmans, and P. Meer, editors, NATO ASI Series, Springer, 1994. BibTeX    
  5. Lindenbaum, M. and Bruckstein, A.M.. Blind Approximation of Planar Convex shapes. IEEE Trans. on Robotics and Automation, RA-10(4):517–529, 1994. BibTeX    
  6. Lindenbaum, M., Fischer, M., and Bruckstein, A.M.. On Gabor's Contribution to Image Enhancement. Pattern Recognition, 27:1–8, 1994. BibTeX    
  7. Lindenbaum, M.. On the Amount of Data Required for Reliable Recognition. In Proceedings of the 12th International Conference on Pattern Recognition, pp. 726–729, 1994. BibTeX    
  8. Lindenbaum, M. and Ben-David, S.. Applying VC-dimension Analysis to Object Recognition. In Proc. of the 3rd European conference on Computer Vision - ECCV00, pp. 239–240, 1994. BibTeX    
  9. Lindenbaum, M. and Ben-David, S.. Applying VC-dimension Analysis to 3D Object Recognition from Perspective Projections. In Proceedings of the 12th National Conf. on Artificial Intelligence (AAAI), pp. 985–990, 1994. BibTeX    
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1993

  1. Ben-David, S. and Lindenbaum, M.. Localization vs. Identification of Semi-Algebraic Sets. In Proc. 6th ACM Conference on Computational Learning Theory, pp. 327–336, 1993. BibTeX    
  2. Lindenbaum, M. and Bruckstein, A.M.. On Recursive $O(N)$ Partition of a Digital Curve into Digital Straight Segments. IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-15(9):949–953, 1993. BibTeX    
  3. Lindenbaum, M.. Bounds on Shape Recognition Performance. In Proc. of the 7th Int. Conference on Image Analysis and Processing, pp. 388–398, 1993. BibTeX    
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1992

  1. Bruckstein, A.M., Katzir, N., Lindenbaum, M., and Porat, M.. Similarity-Invariant Signatures for Partially Occluded Planar Shapes. Int. J. of Computer Vision, 7(3):271–285, April 1992. BibTeX    
  2. Efrat, A., Lindenbaum, M., and Sharir, M.. Finding Maximally Consistent Sets of Halfspaces. In Proceedings of the Fifth Canadian Conference on Computational Geometry, pp. 432–436, 1992. BibTeX    
  3. Lindenbaum, M. and Bruckstein, A.M.. Parallel Strategies for Geometric Probing. Journal of Algorithms, 13:320–349, 1992. BibTeX    
  4. Yokozawa, K. and Lindenbaum, M.. The effect of popout distracter in serial search. In Proceedings of the Japanese Cognitive Science Society 9th Annual Meeting, Chukyo University, Toyota city, May 1992. (in Japanese) BibTeX    
  5. Yokozawa, K. and Lindenbaum, M.. A Popout Distracter Impairs the Visual Search Performance. In Proc. of the Third International Conference on Visual Search, 1992. BibTeX    
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1991

  1. Kiryati, N., Lindenbaum, M., and Bruckstein, A.M. . Digital or Analog Hough Transform?. Pattern Recognition Letters, 12:291–297, 1991. BibTeX    
  2. Lindenbaum, M. and Koplowitz, J.. A new Parameterization of Digital Straight Lines. IEEE Trans. Pattern Analysis and Machine Intelligence, PAMI-13:847–852, 1991. BibTeX    
  3. Lindenbaum, M. and Bruckstein, A.M.. Reconstruction of Polygonal Sets by Constrained and Unconstrained double probing. Annals of Mathematics and Artificial Intelligence, 4:345–362, 1991. BibTeX    
  4. Lindenbaum, M. and Bruckstein, A.M.. Parallel Strategies for Geometric Probing. In Proc. IEEE Conference on Robotics and Automation, Sacramento, May 1991. BibTeX    
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1990

  1. Bruckstein, A.M., Katzir, N., Lindenbaum, M., and Porat, M.. Similarity Invariant Recognition of Partially Occluded Curves and Shapes. In Proc. 7th Israeli Conference on Artificial Intelligence Vision and Pattern Recognition, Tel-Aviv, 1990. Also in \em Proc. National Conference on Data Processing, Jerusalem, November 1992. BibTeX    
  2. Katzir, N., Lindenbaum, M., and Porat, M.. Planar curve segmentation for recognition of partially occluded shapes. In Proc. 10th Int. Conf. Pattern Recognition (ICPR), pp. 842–846, Atlantic City, June 1990. BibTeX    
  3. Kiryati, N., Lindenbaum, M., and Bruckstein, A.M.. Digital or Analog Hough Transform?. In British Machine Vision Conference (BMVC90), Oxford, September 1990. BibTeX    
  4. Koplowitz, J., Lindenbaum, M., and Bruckstein, A.M.. The Number of Digital Straight Lines on an $N\times N$ Grid. IEEE Trans. Inform. Theory, IT-36:192–197, 1990. BibTeX    
  5. Lindenbaum, M. and Bruckstein, A.M.. Reconstruction of Convex Polygon from Binary perspective Projections. Pattern Recognition, 23:1243–1350, 1990. BibTeX    
  6. Lindenbaum, M. and Samet, H.. Probabilistic analysis of Geometric Hierarchical Data Structures. In Proc. 10th Int. Conf. Pattern Recognition (ICPR), Atlantic City, June 1990. BibTeX    
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1989

  1. Lindenbaum, M. and Bruckstein, A.M.. Geometric Probing using Composite probes. In Proc. 6th Israeli Conference on Artificial Intelligence Vision and Pattern Recognition, Tel Aviv, December 1989. BibTeX    
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1988

  1. Koplowitz, J., Lindenbaum, M., and Bruckstein, A.M.. On the Number of Digital Straight Lines. In Proc. 22nd Conference on Information Sciences and Control, Princeton, March 1988. BibTeX    
  2. Lindenbaum, M. and Bruckstein, A.M.. Determining Object Shape from Local Velocity Measurements. Pattern Recognition, 21:591–606, 1988. BibTeX    
  3. Lindenbaum, M., Koplowitz, J., and Bruckstein, A.M.. On the Number of Digital Straight Lines on an $N\times N$ Grid. In Proc. Conf. Computer Vision and Pattern Recognition(CVPR), Ann-Arbor, June 1988. BibTeX    
  4. Lindenbaum, M. and Koplowitz, J.. Compression of Chain Codes using Digital Straight Line Segments. Pattern Recognition Letters, 7:167–171, 1988. BibTeX    
  5. Lindenbaum, M. and Bruckstein, A.M.. Reconstructing Convex Sets from Support Hyper-plane Measurements. In Proc. French-Israel Binational Symposium on Advanced Robotics, Theory and Practice, Tel Aviv, May 1988. BibTeX    
  6. Lindenbaum, M. and Bruckstein, A.M.. Reconstructing a Convex Polygon from Binary Perspective Projections. In Proc. 16th IEEE (Israel) Conference, Tel Aviv, March 1988. BibTeX    
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1986

  1. Bruckstein, A.M. and Lindenbaum, M.. On a Multiple Registration Problem. In Proc. 24th Allerton Conference on Communication, Control and Computing, Monticello, Illinois, October 1986. BibTeX    
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