Prof. Nathan Netanyahu

Prof.
Telephone: 
03-5317721
Fax: 
03-7384056
Office: 
Building 216 Room 213

Publications

                                                                    

 Edited Books

  1. Yngvi Björnsson, Jaap van den Herik, and Nathan S. Netanyahu, Eds., Computers and Games, 4th International Conference, CG 2004, Ramat-Gan, Israel, July 2004. Revised Papers, Springer Verlag, 2006.
     
  2. Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman, Eds., Image Registration for Remote Sensing, Cambridge University Press, 2011.

Chapters in Books

  1. Peter J. Rousseeuw, Nathan S. Netanyahu, and David M. Mount, New Statistical and Computational Results on the Repeated Median Regression Estimator, in New Directions in Statistical Data Analysis and Robustness, edited by Stephan Morgenthaler, Elvezio Ronchetti, and Werner A. Stahel, Birkhauser Verlag, Basel, 1993, pp. 177-194.
     
  2. Peter Cucka, Nathan S. Netanyahu, and Azriel Rosenfeld, Learning in Navigation: Goal Finding in Graphs, in Studies in Pattern Recognition, edited by Herbert Freeman, World Scientific Series on Machine Perception & Artificial Intelligence, Vol. 25, pp. 39-56, 1996.
     
  3. David M. Mount, Nathan S. Netanyahu, and Eliyahu Zuck, Analyzing the Number of Samples Required for an Approximate Monte-Carlo LMS Line Estimator, in Statistics for Industry and Technology, Mia Hubert, Greet Pison, Anja Struyf, and Stefan Van Aelst, Eds., Birkhäuser Verlag, Basel, pp. 207-219, 2004.
     
  4. Omid David, Ariel Felner, and Nathan S. Netanyahu, Blockage Detection in King and Pawn Endgames in Computers and Games, 4th International Conference, CG 2004,Ramat-Gan, Israel, July 2004. Revised Papers, Yngvi Björnsson , Jaap van den Herik, and Nathan S. Netanyahu, Eds., Springer Verlag Lecture Notes in Computer Science, Vol. 3846, pp. 187-201, 2006.
     
  5. Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman, Introduction in Image Registration for Remote Sensing, Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman, Eds., Cambridge University Press, pp. 3-23, 2011.
     
  6. Roger D. Eastman, Nathan S. Netanyahu, and Jacqueline Le Moigne, Survey of Image Registration Methods in Image Registration for Remote Sensing, Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman, Eds., Cambridge University Press, pp. 35-76, 2011. 
     
  7. David M. Mount, Nathan S. Netanyahu, and San Ratanasanya, New Approaches to Robust, Point-Based Image Registration in Image Registration for Remote Sensing,  Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman, Eds., Cambridge University Press, pp. 179-199, 2011
     
  8. Jacqueline Le Moigne, Arlene A. Cole-Rhodes, Roger D. Eastman, Nathan S. Netanyahu, Harold S. Stone, Ilya Zavorin, and Jeffrey T. Morisette, Multitemporal and Multisensor Image Registration, in Image Registration for Remote Sensing, Jacqueline Le Moigne, Nathan S. Netanyahu, and Roger D. Eastman, Eds., Cambridge University Press, pp. 293-338, 2011.

Articles in Periodicals

  1. John M.  Canning, John J. Kim, Nathan S. Netanyahu, and Azriel Rosenfeld, Symbolic Pixel Labeling for Curvilinear Feature Detection, Pattern Recognition Letters,  Vol. 8, No. 5pp. 299-310, December 1988.
     
  2. Behzad Kamgar-Parsi, Behrooz Kamgar-Parsi, and Nathan S. Netanyahu, A Nonparametric Method for Fitting a Straight Line to a Noisy Image, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 11, No. 9, pp. 998-1001, September 1989

  3. Michael B. Dillencourt, David M. Mount, and Nathan S. Netanyahu, A Randomized Algorithm for Slope Selection, International Journal of Computational Geometry and Applications, Vol. 2, No. 1, pp. 1-27, March 1992.
     
  4. David M. Mount and Nathan S. Netanyahu, Computationally Efficient Algorithms for High-Dimensional Robust Estimators, Computer Vision Graphics and Image Processing - Graphical Models and Image Processing, Vol. 56, No. 4, pp. 289-303, July 1994.
     
  5. Nicholas M. Short, Jr., Robert F. Cromp, William J. Campbell, James C. Tilton, Jacqueline Le Moigne, George Fekete, Nathan S. Netanyahu, Walter B. Ligon III, and Keith Wichmann, Mission to Planet Earth: AI Views the World, IEEE Expert, Vol. 10, No. 6, pp. 24-34, December 1995.
     
  6. Peter Cucka, Nathan S. Netanyahu, and Azriel Rosenfeld, Learning in Navigation: Goal Finding in Graphs, International Journal of Pattern Recognition and Artificial Intelligence, special issue, in memory of King-Sun Fu, Vol. 10, No. 5, pp. 429-446, August 1996.
     
  7. Nathan S. Netanyahu, Vasanth Philomin, Azriel Rosenfeld, and Arnold J. Stromberg, Robust Detection of Road Segments in Noisy Aerial Images,  Pattern Recognition, Vol. 30,No. 10, pp. 1673-1686, October 1997.
     
  8. Jiri Matousek, David M. Mount, and Nathan S. Netanyahu, Efficient Randomized Algorithms for the Repeated Median Line Estimator,  Algorithmica, Vol. 20, No. 2, pp. 136-150, February 1998.
     
  9. Sunil Arya, David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Wu, An Optimal Algorithm for Nearest Neighbor Searching, The Journal of the ACM, Vol. 45, No. 6, pp. 891-923, November 1998.
     
  10. Peter Cucka, Nathan S. Netanyahu, and Azriel Rosenfeld, “Robotic” Estimation: The Inefficiency of Random-Walk Sampling, Pattern Recognition, Vol. 31, No. 12, pp. 2091-2102, December 1998.
     
  11. David M. Mount,  Nathan S. Netanyahu, and Jacqueline Le Moigne, An Efficient Algorithm for Robust Point Pattern Matching and its Application to Image Registration, selected publication in a special issue on image registration of Pattern Recognition, Vol. 32, No. 1, pp. 17-38, January 1999.
     
  12. David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Wu, Chromatic Nearest Neighbor Searching: A Query Sensitive Approach, invited submission (from the Seventh Canadian Conference on Computational Geometry), Computational Geometry Theory and Applications, Vol. 17, No.'s 3-4, pp. 97-119, December 2000.
     
  13. David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, Quantile Approximation for Robust Statistical Estimation and k-Enclosing Problems International Journal on Computational Geometry and Applications, Vol. 10, No. 6, pp. 593-608, December 2000.
     
  14. Nathan S. Netanyahu and Isaac Weiss, Analytic Line Fitting in the Presence of Uniform Random Noise,  Pattern Recognition, Vol. 34, No. 3, pp. 703-710, March 2001.
     
  15. David M. Mount and Nathan S. Netanyahu, Efficient Randomized Algorithms for Robust Estimation of Circles and (Aligned) Ellipses, Computational Geometry Theory and Applications, Vol. 19, pp. 1-33, 2001.
     
  16. David M. Mount, Tapas Kanungo, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, Approximating Large Convolutions  in Digital Images, IEEE Transactions on Image Processing, Vol. 10, No. 12, pp. 1826-1835, December 2001.
     
  17. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, The Analysis of a Simple k-Means Clustering Algorithm,  IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 24, No. 7, pp. 881-892, July 2002.
     
  18. Omid David and Nathan S. Netanyahu, Verified Null-Move Pruning, The International Computer Games Association Journal, Vol. 25, No. 3, pp. 153-161, September 2002.
     
  19. Ariel Felner, Roni Stern, Asaph Ben-Yair, Sarit Kraus, and Nathan S. Netanyahu, PHA*: Finding the Shortest Path with A* in An Unknown Physical Environment, Journal of Artificial Intelligence Research, Vol. 21, pp. 631-670, 2004.
     
  20. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, A Local Search Approximation Algorithm for k-Means Clustering, Computational Geometry Theory and Applications, Vol. 28, No.’s 2-3, pp. 89-112, June 2004.
     
  21. Nathan S. Netanyahu, Jacqueline Le Moigne, and Jeffrey Masek, Geo-Registration of Landsat Data via Robust Matching of Multi-Resolution Features, IEEE Transactions on Geoscience and Remote Sensing, Vol. 42, No. 7, pp. 1586-1600, July 2004.
     
  22. Omid David, Ariel Felner, and Nathan S. Netanyahu, Blockage Detection in Pawn Endgames, The International Computer Games Association Journal, Vol. 27, No. 3, pp. 150-158, September 2004.
     
  23. Nargess Memarsadeghi, David M. Mount, Nathan S. Netanyahu, and Jacqueline Le Moigne, A Fast Implementation of the ISODATA Clustering Algorithm, International Journal of Computational Geometry and Applications, Vol. 17, No. 1, pp. 71-103, February 2007.
     
  24. David M. Mount, Nathan S. Netanyahu, Kathleen Romanik, Ruth Silverman, and Angela Wu, A Practical Approximation Algorithm for the LMS Line Estimator, Computational Statistics and Data Analysis, Vol. 51, No. 5, pp. 2461-2486, February 2007.
     
  25. Omid David, Moshe Koppel, and Nathan S. Netanyahu, Genetic Algorithms for Automatic Search Tuning, The International Computers Games Association Journal, Vol. 33, No. 2, pp. 67-79, March 2010;
     
  26. Omid David, Moshe Koppel, and Nathan S. Netanyahu, Expert-Driven Genetic Algorithms for Simulating Evaluation Functions, Genetic Programming and Evolvable Machines, Vol. 12, No. 1, pp. 5-22, March 2011, DOI10.1007/s10710-010-9103-4.
     
  27. Maxim Shoshany, Fadi Kizel, Nathan S. Netanyahu, Naftali Goldshlager, Thomas Jarmer, and Gilad Even-Tzur, An Iterative Search in End-Member Fraction Space for Spectral Unmixing, IEEE Geoscience and Remote Sensing Letters, Vol. 8, No. 4, pp. 706-709, July 2011.
     
  28. Lior Friedman, Nathan S. Netanyahu,  and Maxim Shoshany, Mean Shift-Based Clustering of Remotely Sensed Data with Agricultural and Land-Cover Applications, International Journal of Remote Sensing, Vol. 34, No. 17, pp. 6037-6053, 2013.
     
  29. David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, On the Least Trimmed Squares Estimator, to appear in Algorithmica, DOI 10.1007/s00453-012-9721-8.
     
  30. Omid David, Jaap van den Herik, Moshe Koppel, and Nathan S. Netanyahu, Genetic Algorithms for Evolving Computer Chess Programs, accepted for publication in IEEE Transactions on Evolutionary Computation, DOI 10.1109/TEVC.2013.2285111.

Under Review

  1. David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, A Practical Approximation Algorithm for the LTS Estimator, submitted to Computational Statistics and Data Analysis.
     
  2. Fadi Kizel, Maxim Shoshany, and Nathan S. Netanyahu, Code Vectorization for Parallel Spectral Unmixing Based on Stepwise Analytic Gradient Descent Search in Fraction Space, submitted to IEEE Transactions on Geoscience and Remote Sensing.
     
  3. Benny Kupfer, Nathan S. Netanyahu, and Ilan Shimshoni, A SIFT-Based Mode-Seeking Method for Registration of Remotely Sensed Images to be submitted to IEEE Geoscience and Remote Sensing Letters.
     
  4. Dror Sholomon, Omid David, and Nathan S. Netanyahu, Solving Very Large Jigsaw Puzzles via Genetic Algorithms, to be submitted to Genetic Programming and Evolvable Machines

Refereed Conference Papers

  1. Israel Navot and Nathan S. Netanyahu, First Order Predistortion of Simple LC Ladder Filters with Arbitrary Dissipations, in Proceedings of the IEEE International Symposium on Circuits and Systems, Rome, Italy, May 10-12, 1982, pp. 341-344.
     
  2. Michael B. Dillencourt, David M. Mount, and Nathan S. Netanyahu, A Randomized Algorithm for Slope Selection, in Proceedings of the Third Canadian Conference on Computational Geometry, Vancouver, Canada, August 6-10, 1991, pp. 135-140.
     
  3. David M. Mount and Nathan S. Netanyahu, Computationally Efficient Algorithms for High-Dimensional Robust Estimators, in Proceedings of the Fourth Canadian Conference on Computational Geometry, St. John's, New Foundland, Canada, August 10-14, 1992, pp. 257-262.
     
  4. Jiri Matousek, David M. Mount, and Nathan S. Netanyahu, Efficient Randomized Algorithms for the Repeated Median Line Estimator, in Proceedings of the Fourth Annual ACM-SIAM Symposium on Discrete Algorithms, Austin, Texas, January 25-27, 1993, pp. 74-82.
     
  5. David M. Mount and Nathan S. Netanyahu, Efficient Randomized Algorithms for Robust Circular Arc Estimators, in Proceedings of the Fifth Canadian Conference on Computational Geometry, Waterloo, Canada, August 5-9, 1993, pp. 79-84.
     
  6. Sunil Arya, David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Wu, An Optimal Algorithm for Nearest Neighbor Searching, in Proceedings of the Fifth Annual ACM-SIAM Symposium on Discrete Algorithms, Arlington, Virginia, January 23-25, 1994, pp. 573-582.
     
  7. Nathan S. Netanyahu and Isaac Weiss, Analytic Outlier Removal in Line Fitting, in Proceedings of the Twelfth IAPR International Conference on Pattern Recognition (Volume II), Jerusalem, Israel, October 9-13, 1994, pp. 406-408.
     
  8. Nathan S. Netanyahu, James C. Tilton, and J. Anthony Gualtieri, Unsupervised, Robust Estimation-Based Clustering of Remotely Sensed Images, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Florence, Italy, July 10-14, 1995, pp. 1150-1152.
     
  9. David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Wu, Chromatic Nearest Neighbor Searching: A Query Sensitive Approach, in Proceedings of the Seventh Canadian Conference on Computational Geometry, Quebec City, Quebec, Canada, August 10-14, 1995, pp. 261-266.
     
  10. Nathan S. Netanyahu, Vasanth Philomin, Azriel Rosenfeld, and Arnold J. Stromberg, Robust Detection of Road Segments in Noisy Aerial Images, in Proceedings of the Thirteenth IAPR International Conference on Pattern Recognition, Vienna, Austria, August 25-30, 1996, Vol. B, pp. 151-155.
     
  11. David M. Mount, Nathan S. Netanyahu, Kathleen Romanik, Ruth Silverman, and Angela Wu, A Practical Approximation Algorithm for the LMS Line Estimator, in Proceedings of the Eighth Annual ACM-SIAM Symposium on Discrete Algorithms, New Orleans, Louisiana, January 5-7, 1997, pp. 473-482.
     
  12. David M. Mount, Nathan S. Netanyahu, and Jacqueline Le Moigne, Improved Algorithms for Robust Point Pattern Matching and Applications to Image Registration, in Proceedings of the Fourteenth Annual ACM Symposium on Computational Geometry, Minneapolis, Minnesota, June 7-10, 1998, pp. 155-164.
     
  13. Jacqueline Le Moigne, Wei Xia, Samir Chettri, Tarek El-Ghazawi, Nathan S. Netanyahu, John Pierce, Srini Raghavan, James C. Tilton, William J. Campbell, and Robert F. Cromp, An Image Registration Toolbox: First Evaluation of Automatic Image Registration Methods, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Seattle, Washington, July 6-10, 1998.
     
  14. David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, Quantile Approximation for Robust Statistical Estimation, in Proceedings of the Tenth Canadian Conference on Computational Geometry, Montreal, Quebec, Canada, August 9-12, 1998, pp. 18-19.
     
  15. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, Computing Nearest Neighbors for Incrementally Moving Point Sets and Applications to k-Means Clustering,  in Proceedings of the Tenth Annual ACM-SIAM Symposium on Discrete Algorithms, Baltimore, Maryland, January 17-19, 1999, pp. S931-S932.
     
  16. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, The Analysis of a Simple k-Means Clustering Algorithm, in Proceedings of the Sixteenth Annual ACM Symposium on Computational Geometry, Hong Kong, China, June 12-14, 2000, pp. 100-109.
     
  17. Jacqueline Le Moigne, Nathan S. Netanyahu, Jeff Masek, David M. Mount, Miroslav Honzak, and Samuel N. Goward, Geo-Registration of Landsat Data by Robust Matching of Wavelet Features, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, July 24-28, 2000.
     
  18. Idan Feldberg, Nathan S. Netanyahu, and Maxim Shoshany, Artificial Neural Networks for Differentiating between Real and False Image Changes in Regions of High Environmental Variability,  in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Sydney, Australia, July 9-13, 2001.
     
  19. Jacqueline Le Moigne, Nathan S. Netanyahu, Jeff Masek, David M. Mount, and Samuel N. Goward, Robust Matching of Wavelet Features for Sub-Pixel Registration of Landsat Data, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Sydney, Australia, July 9-13, 2001.
     
  20. Amihood Amir, Reuven Kashi, and Nathan S. Netanyahu, Analyzing Quantitative Databases: Image is Everything, in Proceedings of the Twenty Seventh International Conference on Very Large Data Bases, Rome, Italy, September 11-14, 2001, pp. 89-98.
     
  21. Tapas Kanungo, David M. Mound, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, A Local Search Approximation Algorithm for k-Means Clustering, in Proceedings of the Eighteenth ACM Annual Symposium on Computational Geometry, Barcelona, Spain, June 5-7, 2002, pp. 10-18.
     
  22. Idan Feldberg, Nathan S. Netanyahu, and Maxim Shoshany, A Neural Network-Based Technique for Change Detection of Linear Features and Its Application to a Mediterranean Region, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toronto, Canada, June 24-28, 2002.
     
  23. Avraham Gal, Maxim Shoshany, and Nathan S. Netanyahu, Spectral and Spatial Parameterization of Multi-Date Satellite Images for Change Detection of Linear Features, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toronto, Canada, June 24-28, 2002.
     
  24. David M. Mount, Nathan S. Netanyahu, and Eliyahu Zuck, Analyzing the Number of Samples Required for an Approximate Monte-Carlo LMS Line Estimator, in Proceedings of the International Conference on Robust Statistics, Antwerpen, Belgium, July 14-18, 2003.
     
  25. Nargess Memarsadeghi, David M. Mount, Nathan S. Netanyahu, and Jacqueline Le Moigne, A Fast Implementation of the ISOCLUS Algorithm,  in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, July 21-25, 2003.
     
  26. Lior Friedman, Nathan S. Netanyahu, and Maxim Shoshany, Mean Shift-Based Clustering for Remotely Sensed Data, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, July 21-25, 2003.
     
  27. Jacqueline Le Moigne, Arlene Cole-Rhodes, Roger Eastman, Kisha Johnson, Jeffrey Morisette, Nathan S. Netanyahu, Harold Stone, and Ilya Zavorin, Earth Science Imagery Registration,  in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Toulouse, France, July 21-25, 2003.
     
  28. Amihood Amir, Reuven Kashi, and Nathan S. Netanyahu, Efficient Multidimensional Quantitative Hypotheses Generation, in Proceedings of the IEEE International Conference on Data Mining, Melbourne, Florida, November 19-22, 2003.
     
  29. Amihood Amir, Reuven Kashi, Daniel Keim, Nathan S. Netanyahu, and Markus Wawryniuk, Analyzing High-Dimensional Data by Subspace Validity, in Proceedings of the IEEE International Conference on Data Mining, Melbourne, Florida, November 19-22, 2003.
     
  30. Amihood Amir, Reuven Kashi, Daniel A. Keim, Nathan S. Netanyahu, and Markus Wawryniuk, Shape-Embedded-Histograms for Visual Data Mining, in Proceedings of the Sixth Joint Eurographics - IEEE TCVG Symposium on Visualization, Konstanz, Germany, May 19-21, 2004, pp. 55-64.
     
  31. David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, A Computational Framework for Incremental Motion, in Proceedings of the Twentieth ACM Symposium on Computational Geometry, Brooklyn, New York, June 8-11, 2004, pp. 200-209.
     
  32. Jacqueline Le Moigne, Arlene Cole-Rhodes, Kisha Johnson, Roger Eastman, Jeffrey Morisette, Nathan S. Netanyahu, Harold Stone, Ilya Zavorin, and Peyush Jain, A Study of the Sensitivity of Automatic Image Registration Algorithms to Initial Conditions, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Anchorage, Alaska, September 20-24, 2004, pp. 1390-1393.
     
  33. Roger D. Eastman, Jacqueline Le Moigne, and Nathan S. Netanyahu, Research Issues in Image Registration for Remote Sensing, in Proceedings of the IEEE Computer Vision and Pattern Recognition Workshop on Image Registration and Image Fusion, Minneapolis, Minnesota, June 23, 2007, pp. 3233-3240.
     
  34. Antonio Plaza, Jacqueline Le Moigne, and Nathan S. Netanyahu, Parallel Morphological Feature Extraction for Automatic Registration of Remotely Sensed Images, in Proceedings of the IEEE International Geoscience and Remote Sensing Symposium, Barcelona, Spain, July 23-27, 2007, pp. 421-424.
     
  35. Omid David, Moshe Koppel, and Nathan S. Netanyahu, Genetic Algorithms for Mentor-Assisted Evaluation Function Optimization, in Proceedings of the ACM Genetic and Evolutionary Computation Conference, Atlanta, Georgia, July 12-16, 2008, pp. 1469-1475; won Best Paper Award in the Real-World Applications Track.
     
  36. Omid David and Nathan S. Netanyahu, Extended Null-Move Reductions, in Proceedings of the Sixth International Conference on Computers and Games, Beijing, China, September 29-October 1, 2008, Jaap van den Herik, Xinhe Xu, Zongmin Ma, and Mark H. M. Winands, Eds., Springer Verlag, Lecture Notes in Computer Science, Vol. 5131, pp. 205-216.
     
  37. Omid David, Jaap van den Herik, Moshe Koppel, and Nathan S. Netanyahu, Simulating Human Grandmasters: Evolution and Coevolution of Evaluation Functions, in Proceedings of the ACM Genetic and Evolutionary Computation Conference, Montreal, Quebec, Canada, July 8-12, 2009, pp. 1483-1489.
     
  38. Omid David, Nathan S. Netanyahu, Yoav Rosenberg, and Moshe Shimoni, Genetic Algorithms for Automatic Classification of Moving Objects, in Proceedings of the ACM Genetic and Evolutionary Computation Conference, Portland, Oregon, July 7-11, 2010, pp. 2069-2070.
     
  39. Shahar Daliyot and Nathan S. Netanyahu, A Framework for Inter-Camera Association of Multi-Target Trajectories by Invariant Target Models, in Proceedings of the 11th Asian Conference on Computer Vision Workshop on Detection and Tracking in Challenging Environments, Daejeon, South Korea, November 5-9, 2012; see Lecture Notes in Computer Science, Vol. 7729, pp. 372-386.
     
  40. Erez Levy, Omid David, and Nathan S. Netanyahu, Painter Classification Using Genetic Algorithms, in Proceedings of the IEEE Congress on Evolutionary Computation, Cancun, Mexico, June 20-23, 2013, pp. 3027-3034.
     
  41. Dror Sholomon, Omid David, and Nathan S. Netanyahu, A Genetic Algorithm-Based Solver for Very Large Jigsaw Puzzles, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, Portland, Oregon, June 23-28, 2013, pp. 1767-1774.
     
  42. Eliyahu Kiperwasser, Omid David, and Nathan S. Netanyahu, A Hybrid Genetic Approach for Stereo Matching, in Proceedings of the ACM Genetic and Evolutionary Computation Conference, Amsterdam, The Netherlands, July 6-10, 2013, pp. 1325-1332.
     
  43. Benny Kupfer, Nathan S. Netanyahu, and Ilan Shimshoni, A SIFT-Based Mode Seeking Procedure for Efficient, Accurate Registration of Remotely Sensed Images, in Proceedings of the IEEE Geoscience and Remote Sensing Symposium, Melbourne, Australia, July 21-26, 2013.

Non-Refereed Conferences/Workshops

  1. John M. Canning, John J. Kim, Nathan S. Netanyahu, and Azriel Rosenfeld, Symbolic Pixel Labeling for Curvilinear Feature Detection, in Proceedings of the DARPA Image Understanding Workshop, Cambridge, Massachusetts, April 6-8, 1988, pp. 1080-1090.
     
  2. Peter J. Rousseeuw, Nathan S. Netanyahu, and David M. Mount, New Statistical and Computational Results on the Repeated Median Regression Estimator, presented at the Workshop on Data Analysis and Robustness, Ascona, Switzerland, June 29-July 4, 1992.
     
  3. Nathan S. Netanyahu and Isaac Weiss, Analytic Line Fitting with Non-Gaussian Noise, in Proceedings of the NSF/ARPA Workshop on Performance versus Methodology in Computer Vision, Seattle, Washington, June 24-25, 1994, pp. 146-151.
     
  4. Nicholas M. Short, Jr., Robert F. Cromp, William J. Campbell, James C. Tilton, Jacqueline Le Moigne, George Fekete, Nathan S. Netanyahu, and Greg Sylvain, AI Challenges within NASA's Mission to Planet Earth, in Proceedings of the AAAI Workshop on AI Technologies for Environmental Applications, Seattle, Washington, July 31-August 4, 1994, pp. 1-15.
     
  5. Nathan S. Netanyahu, Arnold J. Stromberg, Vasanth Philomin, and Azriel Rosenfeld, Robust Estimation of Parameters for Fitting Circular Arcs, presented at a Symposium on Statistics and the Sciences, Halifax, Nova Scotia, Canada, August 12-16, 1996.
     
  6. Harold H. Szu, Jacqueline Le Moigne, Nathan S. Netanyahu, Charles Hsu, and Margaret Francis, Wavelet Index of Texture for Artificial Neural Network Classification of Landsat Images, in Proceedings of the Twenty Fifth Annual SPIE AIPR Workshop on Emerging Applications of Computer Vision, Washington, D.C., October 16-18, 1996, pp. 36-44.
     
  7. Samir Chettri and Nathan S. Netanyahu, Spectral Unmixing of Remotely Sensed Images using Maximum Entropy, in Proceedings of the Twenty Fifth Annual SPIE AIPR Workshop on Emerging Applications of Computer Vision, Washington, D.C., October 16-18, 1996, pp. 55-62.
     
  8. Harold H. Szu, Jacqueline Le Moigne, Nathan S. Netanyahu, and Charles Hsu, Integration of Local Texture Information in the Automatic Classification of Landsat Images, in Proceedings of the SPIE Conference on Wavelet Applications, Orlando, Florida, April 22-24, 1997, pp. 116-127.
     
  9. Samir Chettri, Jerry Garegnani, Jon Robinson, Patrick Coronado, Robert F. Cromp, Nathan S. Netanyahu, and William J. Campbell, Multi-Resolution Maximum Entropy Spectral Unmixing, in Proceedings of the International Symposium on Artificial Intelligence, Robotics, and Automation in Space, Tokyo, Japan, July 14-16, 1997, pp. 347-352.
     
  10. Wei Xia, Jacqueline Le Moigne, James C. Tilton, Bao-Ting Lerner, Emre Kaymaz, Nathan S. Netanyahu, John Pierce, Srini Raghavan, Samir Chettri, Tarek El-Ghazawi, Mareboyana Manohar, William J. Campbell, and Robert F. Cromp, A Registration Toolbox for Multi-Source Remote Sensing Applications, in Proceedings of the International Conference on Earth Observation and Environmental Information, Alexandria, Egypt, October 13-16, 1997.
     
  11. David M. Mount, Nathan S. Netanyahu, and Jacqueline Le Moigne, An Efficient Algorithm for Robust Feature Matching, in Proceedings of the CESDIS Image Registration Workshop, NASA/GSFC, Greenbelt, MD, November 20-21, 1997, pp. 247-256.
     
  12. Jacqueline Le Moigne, Wei Xia, Samir Chettri, Tarek El-Ghazawi, Emre Kaymaz, Bao-Ting Lerner, Mareboyana Manohar, Nathan S. Netanyahu, John Pierce, Srini Raghavan, James C. Tilton, William J. Campbell, and Robert F. Cromp, Towards an Intercomparison of Automated Registration Algorithms for Multiple Source Remote Sensing Data, in Proceedings of the CESDIS Image Registration Workshop, NASA/GSFC, Greenbelt, MD, November 20-21, 1997, pp. 307-316.
     
  13. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, Approximating Large Convolutions in Digital Images, in Proceedings of SPIE vol. 3354 on Vision Geometry VII, R. A. Melter, A. Y. Wu, and L. J. Latecki, Eds., San Diego, California, July 20-22, 1998, pp. 216-227.
     
  14. Arnold J. Stromberg, Nathan S. Netanyahu, Vasanth Philomin, and Azriel Rosenfeld, Robust Estimation of Parameters for Fitting Circular Arcs Revisited, presented at the Annual Meeting of the Institute of Mathematical Statistics, Dallas, Texas, August 9-13, 1998.
     
  15. Harold H. Szu, Jacqueline Le Moigne, Nathan S. Netanyahu, and Charles Hsu, Landsat PNN Classifier Using PCA of Wavelet Texture-Edge Feature, in Proceedings of the SPIE Conference on Wavelet Applications, Orlando, Florida, April 6-8, 1999, pp. 141-153.
     
  16. Jacqueline Le Moigne, Arlene Cole-Rhodes, Roger Eastman, Kisha Johnson, Jeffrey Morisette, Nathan S. Netanyahu, and Ilya Zavorin, Multi-Sensor Registration of Earth Remotely Sensed Imagery, in Proceedings of the Eighth SPIE International Symposium on Remote Sensing, Toulouse, France, September 17-21, 2001.
     
  17. Jacqueline Le Moigne, Nadine Laporte, and Nathan S. Netanyahu, Enhancement of Tropical Land Cover Mapping with Wavelet-Based Fusion and Unsupervised Clustering of SAR and Landsat Image Data, in Proceedings of the Eighth SPIE International Symposium on Remote Sensing, Toulouse, France, September 17-21, 2001.
     
  18. Amihood Amir, Reuven Kashi, and Nathan S. Netanyahu, Analyzing Quantitative Databases: Image is Everything, presented at the Haifa Winter Workshop on Computer Science and Statistics , University of Haifa, Israel, December 17-20, 2001.
     
  19. Jacqueline Le Moigne, Arlene Cole-Rhodes, Roger Eastman, Kisha Johnson, Jeffrey Morisette, Nathan S. Netanyahu, Harold Stone, and Ilya Zavorin, Multi-Sensor Image Registration for On-the Ground or On-Board Science Data Processing, in Proceedings of the Science Data Processing Workshop, Greenbelt, Maryland, February 26-28, 2002, pp. 9b-1-9b-6.
     
  20. Jacqueline Le Moigne, Arlene Cole-Rhodes, Roger Eastman, Kisha Johnson, Jeffrey Morisette, Nathan S. Netanyahu, Harold Stone, and Ilya Zavorin, Multi-Sensor Image Registration, Image Fusion, and Dimension Reduction of Earth Science Imagery, in Proceedings of The Fifth International Conference on Information Fusion, Annapolis, Maryland, July 7-11, 2002, pp. 999-1006.
     
  21. David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, Incremental Motion and k-Means Clustering, presented at the DIMACS Workshop on Algorithmic Issues in Modeling Motion, DIMACS Center, Rutgers University, Piscataway, New Jersey, November 18-20, 2002.
     
  22. Antonio Plaza, Jacqueline Le Moigne, and Nathan S. Netanyahu, Automated Image Registration Using Morphological Region of Interest Feature Extraction, in Proceedings of the Third International Workshop on the Analysis of Multi-temporal Remote Sensing Images, Biloxi, Mississippi, May 16-18, 2005.
     
  23. Lior Friedman, Nathan S. Netanyahu, and Maxim Shoshany, Mean Shift-Based of Remotely Sensed Data, in Proceedings of a Workshop on Geodesy, Mapping and Geoinformation, Tel-Aviv, Israel, February 14, 2008, pp. 233-243.
     
  24. San Ratanasanya, David M. Mount, Nathan S. Netanyahu, and Tiranee Achalakul, Enhancements in Robust Feature Matching, in Proceedings of the IEEE Fifth International Conference on Electrical Engineering/Electronics, Computer, Telecommunications, and Information Technology, Krabi, Thailand, May 14-17, 2008, pp. 505-508.
     
  25. David M. Mount, Nathan S. Netanyahu, Christine D. Piatko, Ruth Silverman, and Angela Y. Wu, A Practical Approximation Algorithm for the LTS Estimator, in Proceedings of the 19th Annual Fall Workshop on Computational Geometry, Tufts University, Medford, Massachusetts, November 13-14, 2009.
     
  26. Omid David, Moshe Koppel, and Nathan S. Netanyahu, Optimizing Selective Search in Chess, presented at International Conference on Machine Learning Workshop on Machine Learning and Games, Haifa, Israel, June 25, 2010;
     
  27. Omid David, Nathan S. Netanyahu, and Yoav Rosenberg, Genetic Algorithms for Automatic Object Movement Classification, in Proceedings of the Fifth International Conference on Hybrid Information Technology, Daejeon, South Korea, September 22-24, 2011; see Lecture Notes in Computer Science, Vol. 6985, pp. 258-265.

Technical Reports

  1. Nathan S. Netanyahu, General First Order Predistortion of Simple LC Ladder Filters with Arbitrary Dissipations, M.Sc. Thesis, Department of Electrical Engineering, Technion, Israel Institute of Technology, Haifa, July 1979, in Hebrew.
     
  2. Nathan S. Netanyahu and Azriel Rosenfeld, Mask Matching for Linear Feature Extraction, CS-TR-1759, Center for Automation Research, University of Maryland, January 1987.
     
  3. Michael B. Dillencourt, David M. Mount, and Nathan S. Netanyahu, A Randomized Algorithm for Slope Selection, CS-TR-2431, Center for Automation Research, University of Maryland, March 1990.
     
  4. David M. Mount and Nathan S. Netanyahu, Computationally Efficient Algorithms for a Highly Robust Line Estimator, CS-TR-2816, Center for Automation Research, University of Maryland, December 1991.
     
  5. Nathan S. Netanyahu, Computationally Efficient Algorithms for Robust Estimation, Ph.D. Thesis, Center for Automation Research & Department of Computer Science, University of Maryland, December 1991; see also CS-TR-2898, May 1992.
     
  6. Peter J. Rousseeuw, Nathan S. Netanyahu, and David M. Mount, New Statistical and Computational Results on the Repeated Median Line, CS-TR-2976, Center for Automation Research, University of Maryland, October 1992.
     
  7. David M. Mount and Nathan S. Netanyahu, Computationally Efficient Algorithms for High-Dimensional Robust Estimators, CS-TR-3008, Center for Automation Research, University of Maryland, December 1992.
     
  8. David M. Mount and Nathan S. Netanyahu, Efficient Randomized Algorithms for Robust Circular Arc Estimators, CS-TR-3198, Center for Automation Research, University of Maryland, December 1993.
     
  9. Peter Cucka, Nathan S. Netanyahu, and Azriel Rosenfeld, Learning in Navigation: Goal Finding in Graphs, CS-TR-3433, Center for Automation Research, University of Maryland, March 1995.
     
  10. Nathan S. Netanyahu and Isaac Weiss, Analytic Methods for Outlier Removal in Line Fitting, CS-TR-3508, Center for Automation Research, University of Maryland, August 1995.
     
  11. Sunil Arya, David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Wu, An Optimal Algorithm for Nearest Neighbor Searching, CS-TR-3568, Center for Automation Research, University of Maryland, December 1995.
     
  12. David M. Mount, Nathan S. Netanyahu, Ruth Silverman, and Angela Wu, Chromatic Nearest Neighbor Searching: A Query Sensitive Approach, CS-TR-3569, Center for Automation Research, University of Maryland, December 1995.
     
  13. Nathan S. Netanyahu, Vasanth Philomin, Azriel Rosenfeld, and Arnold J. Stromberg, Robust Detection of Road Segments in Noisy Aerial Images, CS-TR-3631, Center for Automation Research, University of Maryland, April 1996.
     
  14. Peter Cucka, Nathan S. Netanyahu, and Azriel Rosenfeld, Robotic Estimation, CS-TR-3699, Center for Automation Research, University of Maryland, October 1996.
     
  15. David M. Mount and Nathan S. Netanyahu, Efficient Randomized Algorithms for Robust Estimation of Circles and (Aligned) Ellipses, CS-TR-3860, Center for Automation Research, University of Maryland, December 1997.
     
  16. David M. Mount, Nathan S. Netanyahu, and Jacqueline Le Moigne, Efficient Algorithms for Robust Feature Matching, CS-TR-3909, Center for Automation Research, University of Maryland, May 1998.
     
  17. David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Wu, Quantile Approximation for Robust Statistical Estimation and k-Enclosing Problems, CS-TR-3941, Center for Automation Research, University of Maryland, October 1998.
     
  18. David M. Mount, Tapas Kanungo, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, Approximating Large Convolutions in Digital Images, CS-TR-4017, Laboratory for Language and Media Processing, University of Maryland, May 1999.
     
  19. Tapas Kanungo, David M. Mount, Nathan S. Netanyahu, Christine Piatko, Ruth Silverman, and Angela Y. Wu, The Analysis of a Simple k-Means Clustering Algorithm, CS-TR-4098, Center for Automation Research, University of Maryland, January 2000.
     
  20. Omid David and Nathan S. Netanyahu, Verified Null-Move Pruning, CS-TR-4406, Center for Automation Research, University of Maryland, October 2002.
     
  21. Amihood Amir, Reuven Kashi, and Nathan S. Netanyahu, Analyzing Quantitative Databases: Image is Everything, CS-TR-4447, Center for Automation Research, University of Maryland, March 2003.
     
  22. Nathan S. Netanyahu, Jacqueline Le Moigne, and Jeffrey G. Masek, Geo-Registration of Landsat Data via Robust Matching of Multi-Resolution Features, CS-TR-4520, Center for Automation Research, University of Maryland, August 2003.

Research

Algorithm design + analysis, computational geometry, image processing + pattern recognition; robust estimation; remote sensing

מעוניין ללמוד
אצלנו
?