• Biography
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    & academic
    positions
  • Patents
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Dr. David G. Stork is Chief Scientist of Ricoh Innovations and has held academic appointments and taught in five departments at Stanford University over the last 20 years. The breadth of his interests and contributions is revealed through the academic departments and programs in which he has held faculty positions in leading liberal arts colleges and research universities: Physics, Mathematics, Electrical Engineering, Statistics, Computer Science, Neuroscience, Psychology, and Art and Art History. He is a Fellow of the International Association for Pattern Recognition, "For contributions to pattern recognition education, machine learning, speech recognition, and the application of computer vision to the study of art" and Chair of its Technical Committee on Computer Vision in Cultural Heritage Applications. He has published six books/proceedings volumes and has another in production, including Seeing the Light: Optics in nature, photography, color, vision and holography (Wiley), the leading textbook on optics in the arts, Computer image analysis in the study of art (SPIE), the first volume in this discipline, Computer vision and image analysis in the study of art (forthcoming), Pattern Classification (2nd ed., Wiley), the world's all-time best-selling textbook in the field, translated into three languages and used in courses in over 250 universites worldwide, and HAL's Legacy: 2001's computer as dream and reality (MIT), the source of his PBS television documentary 2001: HAL's Legacy. A graduate in physics of the Massachusetts Institute of Technology and the University of Maryland at College Park, he also studied art history at Wellesley College and was Artist-in-Residence through the New York State Council of the Arts. He has served on the editorial boards of five international journals. He holds 39 US patents and has published numerous technical papers on human and machine learning and perception of patterns, physiological optics, image understanding, concurrency theory, theoretical mechanics, optics, image processing. He has served on the editorial boards of five international journals and has delivered over 58 plenary, invited or distinguished lectures at universities and conferences (atop over 230 traditional invited colloquia and seminars).
  • Physics, Massachusetts Institute of Technology
    • BS thesis: "Black and white referencing paths in the Retinex theory of color vision," Advisor: Dr. Edwin Land, Polaroid Corporation
  • 1979 MS Physics, University of Maryland, College Park
    • MS paper: "An experimental determination of the interhemispheral neural transit time," Advisor: Prof. David S. Falk
  • 1984 PhD Physics, University of Maryland, College Park
    • PhD thesis: "Determination of symmetry and phase in human visual response functions: Theory and experiments," Advisor: Prof. David Falk

Corporate positions

  • NeuralWare, Chief Scientist
  • Neural Applications Corporation, Scientific Advisory Board
  • Ricoh Innovations, Senior Research Scientist, Chief Scientist

Academic positions

Professorships, visiting professorships, and lectureships in the following departments and programs:

  • Physics
  • Mathematics
  • Electrical Engineering
  • Psychology
  • Neuroscience
  • Computer Science
  • Statistics
  • Art and Art History

variously at Wellesley College, Swarthmore College, Clark University, Boston University and Stanford University

Only US issuances listed

  1. US5157275 (1992) "Circuit employing logical gates for calculating activation function derivatives on stochastically-encoded signals," David G. Stork and Ronald C. Keesing
  2. US5245696 (1993) "Evolution and learning in neural networks: the number and distribution of learning trials affect the rate of evolution," David G. Stork and Ronald C. Keesing
  3. US5268684 (1993) "Apparatus for a neural network one-out-of-N encoder/decoder," James Allen and David G. Stork
  4. US5337362 (1994) "Method and apparatus for placing data onto plain paper," Michael J. Gormish, Mark Peairs and David G. Stork
  5. US5412670 (1995) "N-bit parity neural network encoder," David G. Stork and James Allen
  6. US5471207 (1995) "Compression of palettized images and binarization for bitwise coding of M-ary alphabets," Ahmad Zandi, David G. Stork and James Allen
  7. US5497236 (1996) "Method and apparatus for distortion correction of scanned images," Gregory J. Wolff and David G. Stork
  8. US5586215 (1996) "Neural network acoustic and visual speech recognition system," David G. Stork, Gregory J. Wolff and Earl I. Levine
  9. US5588090 (1996) "Signal processing apparatus," Toshiyuki Furuta, Shuji Motomura, Takahiro Watanabe and David G. Stork
  10. US5621858 (1997) "Neural network acoustic and visual speech recognition system training method and apparatus," David G. Stork and Gregory J. Wolff
  11. US5636326 (1997) "Method for operating an optimal weight pruning apparatus for designing artificial neural networks," David G. Stork and Babak Hassibi
  12. US5642341 (1997) "CD ROM apparatus for improved tracking and signal sensing," David G. Stork
  13. US5671282 (1997) "Method and apparatus for document verification and tracking," Gregory J. Wolff, David G. Stork and K. Venkatesh Prasad
  14. US5680481 (1997) "Facial feature extraction method and apparatus for a neural network acoustic and visual speech recognition system," K. Venkatesh Prasad and David G. Stork
  15. US5692048 (1997) "Method and apparatus for sending secure facsimile transmissions and certified facsimile transmissions," Michael J. Gormish, Gregory J. Wolff, David G. Stork, Peter E. Hart and Yoshio Kawajiri
  16. US5694228 (1997) "Document image processor with defect detection," Mark Peairs, Mark Cullen, James Allen and David G. Stork
  17. US5710816 (1998) "Method and apparatus for ensuring receipt of voicemail messages," David G. Stork and Nancy P. Stork
  18. US5771306 (1998) "Method and apparatus for extracting speech related facial features for use in speech recognition systems," David G. Stork, Gregory J. Wolff and Earl Isaac Levine
  19. US5781914 (1998) "Converting documents, with links to other electronic information, between hardcopy and electronic formats," David G. Stork and K. Venkatesh Prasad
  20. US5806036 (1998) "Speechreading using facial feature parameters from a non-direct frontal view of the speaker," David G. Stork
  21. US5818966 (1998) "Method and apparatus for encoding color information on a monochrome document," K. Venkatesh Prasad and David G. Stork
  22. US5963930 (1999) "Apparatus and method for enhancing transfer function non-linearities in pulse frequency encoded neurons," David G. Stork and Ronald Craig Keesing
  23. US6073118 (2000) "Method for performing secure financial transactions using facsimile transmissions," Michael J. Gormish, Peter E. Hart, David G. Stork and Gregory J. Wolff
  24. US6081261 (2000) "Manual entry interactive paper and electronic document handling and processing system," Gregory J. Wolff and David G. Stork
  25. US6104380 (2000) "Direct pointing apparatus for digital displays," David G. Stork and Gregory J. Wolff
  26. US6181329 (2001) "Method and apparatus for tracking a hand-held writing instrument with multiple sensors that are calibrated by placing the writing instrument in predetermined positions with respect to the writing surface," David G. Stork, Michael Angelo and Gregory J. Wolff
  27. US6201903 (2001) "Method and apparatus for pen-based faxing," Gregory J. Wolff, David G. Stork and Michael Angelo
  28. US6212296 (2001) "Method and apparatus for transforming sensor signals into graphical images," David G. Stork, Michael Angelo and Gregory J. Wolff
  29. US6457026 (2002) "System to facilitate reading a document," Jamey Graham and David G. Stork
  30. US6492981 (2002) "Calibration of a system for tracking a writing instrument with multiple sensors," David G. Stork, Michael Angelo and Gregory J. Wolff
  31. US6574375 (2003) "Method for detecting inverted text images on a digital scanning device," John F. Cullen, David G. Stork, Peter Hart and Koichi Ejiri
  32. US6804659 (2004) "Content based web advertising," Jamey Graham and David G. Stork
  33. US6879967 (2005) "Method and apparatus for open data collection," David G. Stork
  34. US7124093 (2006) "Method, system and computer code for content based web advertising," Jamey Graham, David G. Stork and Chuck Lam
  35. US7120699 (2006) "Document controlled workflow systems and methods," David G. Stork and Rob van Glabbeek
  36. US7292728 (2007) "A block quantization method for color halftoning," Maya Rani Gupta, Michael J. Gormish, Kathrin Berkner and David G. Stork
  37. US7356611 (2008) "Method and apparatus for permissions based active document workflow," David G. Stork, Rob Jan van Glabbeek and Stephen R. Savitzky
  38. US7395501 (2008) "Techniques for annotating portions of a document relevant to concepts of interest," David G. Stork and Jamey Graham
  39. US7616841 (2009) "End-to-end design of electro-optic imaging systems," M. Dirk Robinson and David G. Stork

Books and proceedings volumes

  1. Computer vision and image analysis of art, David G. Stork, Jim Coddington and Anna Bentkowska-Kafel, eds., (proceedings) (SPIE, 2010)
  2. Computer image analysis in the study of art , David G. Stork and Jim Coddington, eds., (proceedings) 200 pages (SPIE, 2008)
  3. Pattern Classification (2nd ed.), Richard O. Duda, Peter E. Hart and David G. Stork, 654 pages (John Wiley and Sons, 2000)
    • Pattan Shikibetsu Japanese translation of Pattern Classification Richard O. Duda, Peter E. Hart and David G. Stork, 649 pages (New Technology Communications, Inc., 2001)
    • Fenlei Moshi Chinese translation of Pattern Classification, 530 pages (China International Trust and Investment Corporation Publishers and China Machine Press, 2003)
    • Pattern Classification Korean translation of Pattern Classificatio, 752 pages (ITC Press, 2006)
  4. Computer Manual in MATLAB to accompany Pattern Classification (2nd ed.), David G. Stork and Elad Yom-Tov, 134 pages (John Wiley and Sons, 2004)
  5. HAL's Legacy: 2001's computer as dream and reality, David G. Stork, ed., 384 pages (MIT Press, 1996)
    • Haru Densetsu: 2001nen no kompyuta no yume to genjitsu Japanese translation of HAL's Legacy edited by David G. Stork, 434 pages (Hayakawa Publishing, Inc., 1997)
  6. Speechreading by Humans and Machines: Models, Systems and Applications edited by David G. Stork and Marcus E. Hennecke, 686 pages (Springer-Verlag, 1996)
  7. Seeing the Light: Optics in Nature, Photography, Color, Vision, and Holography, David S. Falk, Dieter R. Brill and David G. Stork, 446 pages (Harper and Row Publishers, Inc., 1985; John Wiley and Sons, 1988)
    • Ein Blick ins Licht (German translation of Seeing the Light), David S. Falk, Dieter R. Brill and David G. Stork, 470 pages (Springer-Verlag,
      1990)
  8. Seeing the Light: Teachers' Manual, David S. Falk, Dieter R. Brill and David G. Stork, 1986, 86 pages (Harper and Row Publishers, Inc., 1985;
    John Wiley and Sons, 1988)
  9. The Physics of Sound, Richard E. Berg and David G. Stork, 398 pages (Prentice-Hall, Inc. 1982; 2nd edition, 1994; 3rd edition, 2004)
  10. The Physics of Sound: Teachers' Manual (2nd ed.), Richard E. Berg and David G. Stork, 62 pages (Prentice-Hall, Inc., 1995)

A selected, incomplete list of journal articles, book chapters, introductions, forewords, abstracts and translated articles

  1. "In Geology: Holography, Expanding Applications," w. R. R. Graus Geotimes pp. 19–21 (1981)
  2. "Receptive Fields and the Optimal Stimulus," w. J. Z. Levinson Science 216(4542) pp. 204–205 (1982)
  3. "A Powerful Medium for Geological Study," Holosphere 11(1) pp. 1–3 (1982)
  4. "Integral Hologram of Scanning Electron Micrographs: a New Application of Display Holography," w. M.-J. Mann and J. Eisen J. Microscopy (London) 133(Pt1) pp. 89–93 (1984)
  5. "Receptive-field symmetry probed using converging gratings," w. J. Z. Levinson and D. S. Falk, J. Optical Society of America A 2(2) pp. 275–279 (1985)
  6. "Electronics for generating simultaneous random-dot cyclopean and monocular stimuli," w. R. Neff and S. Schwartz Behavior Research Methods, Instruments and Computers 17(3) pp. 363–370 (1985)
  7. "The unrestrained brachistochrone," w. J.-x. Yang and C. Stover American Journal of Physics 54(11) pp. 992–997 (1986)
  8. "Parallel analog neural networks for tree searches," w. J. Saylor Proc. American Physical Society Conference on Neural Networks for Computing, J. Denker (ed.) Snowbird, Utah pp. 392–397 (1986)
  9. "Making new problems from old ones," The Physics Teacher 24, pp. 341–345 (1986)
  10. "Counterpropagation networks: adaptive hierarchical networks for 'near optimal' mappings," Synapse Connection 1(2) pp. 9–11, 17 (1987)
  11. "Visual temporal impulse responses from flicker sensitivities," w. D. S. Falk J. Optical Society of Amica A 4(6) pp. 1130–1135 (1987)
  12. "Exaptation, preadaptation, evolution and biological neural networks," Synapse Connection 1(3) pp. 2–5 (1987)
  13. "The rolling unrestrained brachistochrone," w. J.-x. Yang and D. Galloway American Journal of Physics 55(9) pp. 844–847 (1987)
  14. "Recent developments in a neural model of real-time speech analysis and synthesis," w. M. Cohen and S. Grossberg Proc. of the IEEE Int. Conf. on Neural Networks Maureen Caudill and Charles Butler (eds.) vol. IV pp. 443–453 (1987)
  15. "Neural networks for decision tree searches," w. J. Saylor Proc. of the IEEE Conf. on Biology and Medicine pp. 1366–1367 Boston, MA (1987)
  16. "Neural model of stereopsis from disparity," w. J. Landa Proc. of the IEEE Conf. on Biology and Medicine pp. 1359–1360 Boston, MA (1987)
  17. "Aspects of a neural model for real-time speech analysis and synthesis," w. M. Cohen and S. Grossberg Proc. of the IEEE Conf. on Biology and Medicine pp. 1361–1363 Boston, MA (1987)
  18. "Come trasformare un problema vecchio in nuovo," La Fisica nella Scuola Anno. XX(3) pp. 132–137 (1988) –- Italian translation of "Making new problems from old ones"
  19. "Recirculation networks," Synapse Connection 2(1) pp. 5–6 (1988)
  20. "Stability of neural networks for optimization," Synapse Connection 2(3) pp. 1, 12–13 (1988)
  21. "A brief introduction to the operation of an Adaptive Resonance Network," Synapse Connection 2(8) pp. 1–7 (1988)
  22. "Speech Perception and Production by a Self-Organizing Neural Network," w. M. Cohen and S. Grossberg in Evolution, Learning and Cognition, Y. C. Lee (ed.) World Publishing Company pp. 217–231 (1988), reprinted in Pattern Recognition by Self-Organizing Neural Networks (S. Grossberg and G. Carpenter, eds.) Chapter 19, pp. 615–633 MIT Press (1991)
  23. "The general unrestrained brachistochrone," w. J.-x. Yang American Journal of Physics 65(1) pp. 22–26 (1988)
  24. "Software for generating auto-random dot stereograms," w. C. Rocca Behavior Research Methods, Instruments and Computers 21(5) pp. 525–534 (1989)
  25. "Self-organization, pattern recognition and adaptive resonance networks," J. Neural Network Computing 1 pp. 26–42 (1989)
  26. "Self-organization, pattern recognition and adaptive resonance networks," in Learning and Recognition — A Modern Approach pp. 155–178 K. H. Zhao, C. F. Zhang and Z. X. Zhu (eds.) World Scientific Publishing (1989)
  27. "Systems neuroscience approaches to speech and language processing," in Learning and Recognition — A Modern Approach K. H. Zhao, C. F. Zhang and Z. X. Zhu (eds.) pp. 178–198 World Scientific Publishing (1989)
  28. "Is backpropagation biologically plausible?" International Joint Conference on Neural Networks vol. II, pp. 241–246 Washington, D.C. (1989)
  29. "Preadaptation and evolutionary considerations in neuro-biology," in Learning and Recognition — A Modern Approach K. H. Zhao, C. F. Zhang and Z. X. Zhu (eds.) pp. 51–58 World Scientific Publishing (1989)
  30. "Neurobiology and Backpropagation: Redux," Neural Network Review 3(2) pp. 55–56 (1990)
  31. "Neuro-computational load balancing, contiguity and modifiable neuronal maps," Neural Technology Update 4(1) pp. 1–5 (1990)
  32. "Dynamic regulation for producing chaotic behavior in simple systems," Neural Technology Update 4(4) pp. 5–7, 11 (1990)
  33. "Do Gabor functions provide appropriate descriptions of visual cortical receptive fields?" w. Hugh R. Wilson J. Optical Society of America A 7(8) pp. 1362–1373 (1990)
  34. "Preadaptation in neural networks," w. S. Walker, M. Burns, and B. Jackson International Joint Conference on Neural Networks vol. I, pp. 202–205 Washington, D.C. (1990)
  35. "'Non-optimality' via preadaptation in simple neural systems," w. B. Jackson and S. Walker Artificial Life II C. G. Langton, C. Taylor, J. D. Farmer and S. Rasmussen (eds.) pp. 409–429, Addison-Wesley, Santa Fe Institute (1991)
  36. "Sources of structure in neural networks for speech and language," International Journal of Neural Systems 2(3) pp. 159–167 (1991)
  37. "Evolution and Learning in Neural Networks: The number and distribution of learning trials affect the rate of evolution," w. Ron Keesing Proceedings of Neural Information Processing Systems (NIPS-3) R. P. Lippmann, J. E. Moody and D. S. Touretzky (eds.) pp. 804–810 (1991)
  38. "Connectionist generalization for production: An example from Gridfont," w. Igor Grebert, Ron Keesing and Steve Mims Proc. International Joint Conference on Neural Networks (IJCNN) vol. II, pp. 105–109 (1991)
  39. "Connectionist generalization for production: An example from GridFont," w. I. Grebert, R. Keesing and S. Mims Neural Networks 5(4) pp. 699–710 (1992)
  40. "Neural network lipreading system for improved speech recognition" w. Greg Wolff and Earl Levine, Proc. International Joint Conference on Neural Networks (IJCNN) vol. II, pp. 285–295 (1992)
  41. "Network generalization for production: Learning and producing styled letterforms," w. Igor Grebert, Ron Keesing and Steve Mims { bf Proceedings of Neural Information Processing Systems (NIPS-4) J. Moody, S. Hanson and R. Lippmann (eds.) pp. 1118–1124 (1992)
  42. "Precision analysis of stochastic pulse encoding algorithms for neural networks," w. Hirotoshi Eguchi and G. Wolff, Proc. International Joint Conference on Neural Networks (IJCNN) vol. I, pp. 395–400 (1992)
  43. "Retinogeniculate development: The role of competition and correlated retinal activity," w. Ron Keesing and Carla Shatz Proceedings of Neural Information Processing Systems (NIPS-4) J. Moody, S. Hanson and R. Lippmann (eds.) pp. 91–97 (1992)
  44. "Deterministic Boltzmann Machine VLSI can be scaled using multi-chip modules," w. Michael Murray, James Burr, Ming-Tak Leung, Kan Boonyanit and Allen Peterson, Proceedings of the International Conference on Application-Specific Array Processors ASAP-92, Jose Fortes, Edward Lee and Teresa Meng (eds.) pp. 206–217 (1992)
  45. "Anamorphic Art and Photography: Deliberate distortions that can be easily undone," Optics and Photonics News pp. 9–12 and cover (November, 1992)
  46. "How to solve the N-bit parity problem with two hidden units," w. James D. Allen Neural Networks 5 pp. 923–926 (1992)
  47. "Preadaptation and Principles of Organization in Organisms," in Principles of Organization in Organisms Arthur Baskin and Jay Mittenthal (eds.) pp. 205–224 Addison-Wesley, Santa Fe Institute (1992)
  48. "How to solve the N-bit encoder problem with just one hidden unit," w. James D. Allen Neurocomputing 5(23) pp. 141–143 (1993)
  49. "A complete list of homographs from the Oxford English Dictionary," American Speech 68(3) pp. 330–334 (1993)
  50. "Second order derivatives for network pruning: Optimal Brain Surgeon," w. Babak Hassibi Proceedings of Neural Information Processing Systems (NIPS-5) Stephen J. Hanson, Jack D. Cowan and C. Lee Giles (eds.) pp. 164–171 (1993)
  51. "Optimal Brain Surgeon and general network pruning," w. Babak Hassibi and Greg Wolff Proc. International Conference on Neural Networks (ICNN), vol. I, pp. 293–299 (1993)
  52. "A digital neural network VLSI with on-chip learning using stochastic pulse encoding," w. S. Oteki, A. Hashimoto, T. Furuta, S. Motomura, T. Watanabe and H. Eguchi Proc. International Joint Conference on Neural Networks (IJCNN) pp. 3039–3045 (1993)
  53. "Optimal Brain Surgeon: Extensions, streamlining and performance comparison," w. Babak Hassibi, G. Wolff and T. Watanabe Proceedings of Neural Information Processing Systems (NIPS-6) pp. 263–270 (1994)
  54. "Lipreading by neural networks: Visual preprocessing, learning and sensory integration," w. G. Wolff, K. V. Prasad and M. Hennecke Proceedings of Neural Information Processing Systems (NIPS-6) pp. 1027–1034 (1994)
  55. "Digital Boltzmann VLSI for constraint satisfaction and learning," w. M. Murray, M.-T. Leung, K. Boonyanit, K. Kritayakirana, J. B. Burr, G. Wolff, T. Watanabe, E. Schwartz and A. M. Peterson Proceedings of Neural Information Processing Systems (NIPS-6) pp. 896–903 (1994)
  56. "Fast document inversion detection," w. J. F. Cullen and Peter E. Hart International Association of Pattern Recognition Document Analysis Systems, Kaiserlautern Germany (October, 1994) (abstract)
  57. "Preprocessing visual information for neural learning of lip-reading," w. K. V. Prasad and G. Wolff in Neural Networks and Artificial Intelligence J. L. Flanagan and R. J. Mammone (eds.) Proceedings of SPIE EurOpt (Innsbruck, Austria) pp. 116–123 (1994)
  58. "Using deformable templates to infer visual speech dynamics," w. Marcus Hennecke and K. Venkatesh Prasad Proc. 28th Asilomar Conference on Signals, Systems, and Computers pp. 578–582 Asilomar, CA IEEE Press (1994)
  59. "A Rapid Graph-based Method for Arbitrary Transformation Invariant Pattern Classification," w. Alessandro Sperduti Proceedings of Neural Information Processing Systems (NIPS-7) G. Tesauro, D. S. Touretzky and T. K. Leen (eds.) pp. 665–672 (1995)
  60. "Optimizing Bit-plane Context-dependent Entropy Coding for Palettized Images," w. Ahmad Zandi and James Allen Proc. International Conference on Image Processing (ICIP) I pp. 270–273 (1995)
  61. "Empirical Error-Confidence Curves for Neural Network and Gaussian Classifiers," w. Greg Wolff and Art Owen International Journal of Neural Systems 7(3) pp. 363–371 (1996)
  62. "Speechreading: An overview of image processing, feature extraction, sensory integration and pattern recognition techniques," w. Marcus Hennecke, Proceedings of the Second International Conference on Automatic Face and Gesture Recognition Killington, VT pp. xvi–xxvi (1996)
  63. "Nonoptimality in a neurobiological system," w. Bernie Jackson and Scott Walker, in Optimality in Biological and Artificial Networks? D. S. Levine and W. R. Elseberry (eds.) pp. 57–75 Mahwah, NJ: Lawrence Erlbaum Associates (1997)
  64. "Pruning Boltzmann Networks and Hidden Markov Models," by Morten With Pedersen and David G. Stork, Proc. Thirteenth Asilomar Conference on Signals, Systems and Computers, vol. 1, pp. 258–261 (1997)
  65. "Speech recognition and sensory integration," w. Dominic Massaro, American Scientist 86(3) pp. 236–244 (1998)
  66. "Character and document research in the Open Mind Initiative," Proc. International Conference on Document Analysis and Recognition (ICDAR), pp. 1–12, Bangalore, India (1999)
  67. "The Open Mind Initiative," IEEE Expert Systems and their applications, 14(3) pp. 19–20 (May/June 1999)
  68. "Open Mind Speech Recognition," with J.-M. Valin, Proc. of Automated Speech Recognition Workshop (ASRU), Keystone, CO (1999)
  69. "Linear discriminant and support vector classifiers," w. Isabelle Guyon, Chapter 9 in Advances in Large-Margin Classifiers, A. Smola, P. Bartlett, B. Schölkopf and D. Schuurmans, editors (MIT Press, 2000)
  70. "Open data collection for training intelligent software in the Open Mind Initiative," Proc. of the Engineering Intelligent Systems (EIS), Paisley, Scotland (2000)
  71. "Using open data collection for intelligent software," Computer 33(10) pp. 104–106 (October, 2000)
  72. "Is paperless really more?" w. Ziming Liu, ACM Communications 43(11) pp. 94–97 (2000)
  73. "Block color quantization: A new method of color halftoning," w. M. Gupta and M. Gormish International Conference on Image Processing (ICIP) vol. 3, pp. 460–463 (2000)
  74. "Toward a computational theory of data acquisition and truthing," Proceedings of the Computational Learning Theory Conference (COLT), David Helmbold and Bob Williamson (eds.), pp. 194–207, Amsterdam, The Netherlands (2001)
  75. "An architecture supporting the collection and monitoring of data openly contributed over the World Wide Web," Workshop on Enabling Technologies, Infrastructure for Collaborative Enterprises (WET ICE), pp. 380–385 (2001)
  76. "Token-controlled place refinement in hierarchical Petri nets with application to active document workflow," w. Rob J. van Glabbeek, Application and Theory of Petri Nets 2002: 23rd International Conference ICATPN 2002, Adelaide, South Australia, Javier Esparza and Charles Lakos (eds.), pp. 394–413, LNCS 2360 (Springer, 2002)
  77. "Optical rebuttals to Hockney's theory of 'Opticality' in Early Renaissance painting," Society for Literature and Science, Pasadena CA (abstract) (October, 2002)
  78. "Query Nets: Interacting Workflow Modules That Ensure Global Termination," w. Rob J. van Glabbeek in Wil van der Aalst, Arthur ter Hofstede and Mathias Weske (eds.), Business Process Management, International Conference PBM 2003, Eindhoven, The Netherlands, pp. 184–199 (Springer, 2003)
  79. "Upper Bounds on Learning Rate with Unreliable Labelers," w. Chuck Lam Proceedings of Distributed Collective Knowledge Capture Workshop pp. xx—xx (October 26, 2003)
  80. "Evaluating classifiers by means of test data with noisy labels," w. Chuck Lam, Proceedings of the International Joint Conference on Artificial Intelligence (IJCAI) pp. 513–518, Acapulco, Mexico (2003)
  81. "Learning network topology,"(w. Chuck Lam pp. 628–631 in The Handbook of Brain Theory and Neural Networks, Michael Arbib (ed.), MIT Press (2003)
  82. "Optics and the old masters revisited," Optics and Photonics News, 15(3) pp. 30–37 (2004)
  83. "Did the great masters use optical projections while painting? Perspective analyses of chandeliers in Renaissance paintings and modern photographs," w. Antonio Criminisi, 17th Int. Conference on Pattern Recognition Vol. IV, pp. 645–648, Josef Kittler, Maria Petrou and Mark S. Nixon (eds.) Cambridge, UK (2004)
  84. "Optics and realism in Renaissance art," Scientific American 291(6) pp. 76–84 (December, 2004)
  85. "Reader's Helper: An on-screen electronic aid to reading," w. Jamey Graham, Second International Conference on the Future of the Book, p. 33, Beijing China (September 2004)
  86. "Did early Renaissance painters trace optical projections? Evidence pro and con," Electronic Imaging, Vision Geometry XIII, L. J. Latecki, D. M. Mount and A. Y. Wu (eds.), pp. 25–31 (2005)
  87. "Asymmetry in Lotto carpets and implications for Hockney rq s optical projection theory," SPIE Electronic Imaging: Human vision and electronic imaging X, Bernice E. Rogowitz, Thrasyvoulos N. Pappas and Scott J. Daly (eds.), volume 5666, pp. 337–343 (2005)
  88. "Did Georges de la Tour use optical projections while painting Christ in the carpenter's studio?" Proc. SPIE Electronic Imaging, vol 5685, Amir Said and John G. Apostolopoulos (eds.), pp. 214–219 (2005)
  89. "Color and illumination in the Hockney theory: A critical evaluation," Proc. Color Imaging Conference (CIC11), pp. 11–15 (November, 2003)
  90. "Were optical projections used in early Renaissance painting? A geometric image analysis of Jan van Eyck's Arnolfini portrait and Robert Campin's Mérode Altarpiece," Proc. SPIE Electronic Imaging, Vision Geometry XII, L. J. Latecki, D. M. Mount and A. Y. Wu (eds.), pp. 23–30 (2004)
  91. "Did Jan van Eyck build the first 'photocopier' in 1432?" Proc. Electronic Imaging, Color Imaging IX: Processing, Hardcopy, and Applications, R. Eschbach and G. G. Marcu (eds.) pp. 50–56 (2004)
  92. "A comparison of revision schemes for cleaning labeling noise," w. C. Lam, Chapter XIII, pp. 220–332 in Mathematical Methods for Knowledge Discovery and Data Mining, Giovanni Felici and Carlo Vercellis (eds.), Information Science Reference Publishers, Hershey, PA, 2007
  93. "Did early Renaissance masters use optical projections while painting? Image analytic, optical and historical rebuttals to the Hockney theory," Optical Society of America Annual Meeting, Rochester NY, (abstract) October, 2004
  94. "Evidence for mechanical (not optical) copying and enlarging in Jan van Eyck's Portrait of Niccolò Albergati," w. Thomas Ketelsen, Olaf Simon, Ina Reiche, Silke Merchel, Optical Society of American Annual Meeting (abstract) (October 2004)
  95. "Did Lorenzo Lotto use optical projections while painting Husband and Wife?" w. Christopher W. Tyler, Optical Society of America Annual Meeting, October 2004 (abstract)
  96. "Spieglein, Spieglein an der Wand," (in German), pp. 58–61, Special Edition of Spektrum der Wissenschaft, Forschung und Technik in der Renaissance (Winter, 2004) (reprint of Scientific American article)
  97. "Optique et réalisme dans l'art de la Renaissance," (in French), 74–81 Revue Pour la Science 327, January, 2005 (reprint of Scientific American article)
  98. "Did Georges de la Tour use optical projections while painting Christ in the carpenter's studio?" SPIE Electronic Imaging vol 5685, Amir Said and John G. Apolstolopoulos (eds.), pp. 214–219 (2005)
  99. "2001's vision of vision," foreword to Real-Time Vision for Human-Computer Interaction, edited by Branislav Kisacanin, Vladimir Pavlovic and Thomas S. Huang pp. IX–XI (Springer Verlag, 2005)
  100. "Did Hans Memling employ optical projections when painting Flower still-life?" Leonardo 38(2) pp. 157–162 (2005)
  101. "Mathematical foundations for quantifying shape, shading and cast shadows in realist master drawings and paintings," Mathematics of Data/Image Pattern Recognition, Compression and Encryption with Applications IX, Gerhard X. Ritter, Mark S. Schmalz, Junior Barrera and Jaakko T. Astola (eds.), volume 6314, pp. 63150K1–K6, (2006)
  102. "End-to-end design of digital imaging systems," w. Dirk Robinson SPIE Optics and Photonics (2008, in press)
  103. "Estimating the location of illuminants in realist master paintings: Computer image analysis addresses a debate in art history of the Baroque," Kimo Johnson and David G. Stork, International Conference on Pattern Recognition (ICPR06), Volume 1: 255–258 (2006)
  104. "Information-based methods for optics/image processing co-design," w. Dirk Robinson, Workshop on information optics (WIO 06), AIP Proceedings volume 860, Gabriel Cristóbal, Bahram Javidi and Santiago Vallmitjana (eds.) pp. 125–135 Toledo, Spain (2006)
  105. "Joint design of lens systems and digital image processing," w. Dirk Robinson, International Optical Design Conference, Volume 6342, G. Groot Gregory, Joseph M. Howard, R. John Koshel (eds.) 63421G (2006)
  106. "Computer vision, image analysis and master art, Part I: Perspective and form," IEEE Multimedia 13(3):16–20 (2006)
  107. "Computer vision, image analysis and master art, Part II: Finding the illuminant in realist paintings," David G. Stork and Kimo Johnson, IEEE Multimedia 13(4):12–17, (2006)
  108. "Computer vision, image analysis and master art, Part III: Quantifying shape in realist art," David G. Stork and Marco Duarte IEEE Multimedia 14(1):14–18, (2007)
  109. "Fidelity analysis of mechanically aided copying/enlarging of Jan van Eyck's Portrait of Niccolò Albergati," w. Marco Duarte, SPIE Electronic Imaging: Vision Geometry XV, Longin Jan Latecki, David M. Mount and Angela Y. Wu (eds.), Vol. 6499, pp. 649903-1 to 649903-6 (2007)
  110. "Imaging technology enhances the study of art," Vision Systems Design 12(10):69–73, 2007
  111. "Joint design of optics and digital processing for single- and multi-frame imaging systems," w. Dirk Robinson, Optical Society of American Computational Sensing and Imaging (COSI), Vancouver BC (June 2008)
  112. "Aberration Analysis of the Putative Projector for Lorenzo Lotto 's Husband and Wife," Optical Society of America Annual Meeting, San Jose, CA (2007) (abstract)
  113. "Image analysis of paintings by computer graphics synthesis: An investigation of the illumination in Georges de la Tour's Christ in the carpenter's studio," by David G. Stork and Yasuo Furuichi, in Computer image analysis in the study of art, David G. Stork and Jim Coddington (eds.), 68100J, SPIE Press, 2008
  114. "Inferring illumination direction estimated from disparate sources in paintings: An investigation into Jan Vermeer's Girl with a pearl earring," by Micah Johnson, David G. Stork, Soma Biswas and Yasuo Furuichi, in Computer image analysis in the study of art, David G. Stork and Jim Coddington (eds.), 68100I, SPIE Press, 2008
  115. "Reflections and praxis in Hans Memling: A computer analysis of the mirror in the Diptych of Maarten van Nieuwenhove," by Silvio Savarese, Ron Spronk, David G. Stork and Andrey DelPozo, in Computer image analysis in the study of art, David G. Stork and Jim Coddington (eds.), 68100G, SPIE Press, 2008
  116. "Recovering layers of brush strokes through statistical analysis of color and shape: An application to van Gogh's Self portrait with grey felt hat," by Morteza Shahram, David G. Stork and David Donoho, in Computer image analysis in the study of art, David G. Stork and Jim Coddington (eds.), 68100D, SPIE Press, 2008
  117. "Aberration analysis of the putative projector for Lorenzo Lotto's Husband and wife: Image analysis through computer ray-tracing," by Dirk Robinson and David G. Stork, in Computer image analysis in the study of art, David G. Stork and Jim Coddington (eds.), 68100H, SPIE Press, 2008
  118. "From imaging to computer image analysis in the study of arts," David G. Stork and Jim Coddington, preface to Computer image analysis in the study of art, David G. Stork and Jim Coddington (eds.), SPIE Press, 2008
  119. "Theoretical foundations for joint digital-optical analysis of electro-optical imaging systems," David G. Stork and M. Dirk Robinson, Applied Optics, 47(10): B64–B75, 2008
  120. "Multiple visual features for the computer authentication of Jackson Pollock's drip paintings: Beyond box-counting and fractals," Mohammad Irfan and David G. Stork,

Past and present memberships

  1. Association for Computing Machinery (ACM, Life Member)
  2. Institute of Electronics and Electrical Engineers (IEEE, Senior Member)
  3. Optical Society of America (OSA, Life Member)
  4. Society for Photographic Instrumentation and Engineering (SPIE)
  5. American Association for Artificial Intelligence (AAAI)
  6. American Association of Physics Teachers (AAPT)
  7. International Neural Network Society (INNS)
  8. International Foundation for Art Research (IFAR)
  9. International Brain Research Organization (IBRO)
  10. Sigma Xi, The Scientific Research Society
  11. The National Association of Scholars (NAS)
  12. The Atheneum of Philadelphia

Honors and awards

  • Fellow, International Association of Pattern Recognition (2008)
  • Senior member, IEEE (2008)
  • Ricoh Junior Patent Master (>50 patents, US and international issuance) (2008)
  • Distinguished Lecturer, Association of Computing Machinery (1998–99)
  • Plenary and distinguished lectures
  • Research talks
  • Art museum talks
  1. Plenary lecture, Learning and Recognition workshop, Beijing University, October 1988
  2. Plenary lecture, Third European Symposium on Artificial Neural Networks, April, 1995
  3. Keynote lecture, American Associate for Artificial Intelligence AAAI Fall Symposium, Cambridge, MA, November, 1996
  4. Banquet lecture, ACM SIGCSE (Computer Science Education), San Jose, CA, February, 1997
  5. President's University Lecture, University of British Columbia, Vancouver, British Columbia, March, 1997
  6. Invited lecture, Cyberfest, University of Illinois-Urbana Champaign, March, 1997
  7. Distinguished University Lecture (Cowper Series), State University of New York at Buffalo, April, 1997
  8. Invited lecture, Program honoring the rededication of Griffin Hall, Williams College, April, 1997
  9. Distinguished Lecture in Human-Computer Interactions, Oregon Graduate Institute, April, 1997
  10. Distinguished Lecture, University of Tokyo, Japan, April, 1997
  11. Plenary Lecture, Machines that learn, Snowbird UT, April, 1997
  12. Plenary Lecture, Intelligent User Interfaces (IUI), San Francisco, CA, January, 1998
  13. Keynote Lecture, National Engineers' Week, San Francisco Bay Area Engineering Council, San Fracisco, CA, February, 1998
  14. Invited Lecture, American Associate for Artificial Intelligence (AAAI) Spring Symposium, March, 1998
  15. Matthew Vassar Lecture Series and the Winifred Asprey Series in Computer Science, Vassar College, Poughkeepsie, NY, April, 1998
  16. Plenary Lecture, Florida Artificial Intelligence Research Symposium (FLAIRS), Orlando, FL, May, 1999
  17. Invited Lecture, GigaWorld IT Forum, Scottsdale, AZ, June, 1999
  18. Plenary Lecture, International Joint Conference on Neural Networks (IJCNN), Washington DC, July, 1999
  19. Plenary Lecture, International Conference on Document Analysis and Recognition (ICDAR), Bangalore, India, September, 1999
  20. Plenary Lecture, Automatic Speech Recognition and Understanding (ASRU), Keystone, CO, December, 1999
  21. Special Research Lecture for the Federal Government Lab, Industrial Materials Institute/Institut des Matériaux Industriels NRC/CNRC, Quebec, Canada, October, 2000
  22. ACM Distinguished Lecture, College of William and Mary, February, 2000
  23. Invited Lecture, American Statistical Association 21st Annual Institute on Research and Statistics, Sacramento, CA, April, 2000
  24. Plenary Lecture, Engineering Intelligent Systems (EIS), Paisley, Scotland, June, 2000
  25. Invited Lecture, O'Reilly Open Source Software Symposium, Monterey, CA July, 2000
  26. Invited Lecture, SPIE Electronic Imaging 2001, San Jose, CA, January, 2001
  27. Plenary Lecture, International Conference on Acoustics, Speech, and Signal Processing (ICASSP), Salt Lake City, UT, May, 2001
  28. Plenary Lecture, Computational Learning Theory Conference (COLT), Amsterdam, The Netherlands, July, 2001
  29. Plenary Lecture, International Joint Conference on Artificial Intelligence (IJCAI), Seattle WA, August, 2001
  30. Keynote Lecture, program on Future of the Internet, Robert Fischer Cultural and Public Policy Institute and Davis Educational Foundation, Nichols College, Dudley, MA, October, 2001
  31. Invited presentation, New York University Optics and Art Symposium, December, 2001
  32. Plenary Lecture, Winter Simulation Conference, Arlington, VA, December, 2001
  33. Banquet Lecture, Annual Meeting, IEEE Boise Section, December, 2001
  34. Invited Lecture, Rochester Institute of Technology Industrial Affiliates Meeting, Rochester, NY, May, 2003
  35. Plenary Lecture, Color Imaging Conference (CIC), Scottsdale, AZ, November, 2003
  36. Keynote Lecture, Distributed Collaborative Knowledge Capture (DC-KCAP), Sanibel Island, FL, October, 2003
  37. Plenary Lecture, Mathematical Machine Learning (MML), Como, Italy, June, 2004
  38. Banquet Lecture, Annual Meeting, Optical Society of America Rochester Section, April, 2004
  39. Invited Lecture, Symposium on optics and art, Optical Society of America Annual Meeting, Rochester, NY, October, 2004
  40. Plenary Lecture, Florida Artificial Intelligence Research Symposium (FLAIRS), May, 2005
  41. Distinguished Computer Science Lecture, University of Pennsylvania, October, 2005
  42. Invited Lecture, Margaret Allen Lecture Series in art and mathematics, University of Delaware, October, 2005
  43. Distinguished Computer Science Lecture, Columbia University, February, 2006
  44. Banquet Lecture, Machines that learn workshop, April, 2006
  45. Plenary Lecture, CATCH (Collaborative annotation) Symposium, The Hague Netherlands, April, 2006
  46. Invited Lecture, Pattern Recognition for the US Intelligence Community, April, 2006
  47. Docent Memorial Lecture, Wadsworth Atheneum, Hartford CT, April, 2006
  48. Distinguished Cognitive Science Lecture, Carleton University, Ottawa Canada, September, 2006
  49. Invited Lecture, American Association of Physics Teachers Winter Conference, Seattle WA, January, 2007
  50. Distinguished Computer Science Lecture, University of California at Irvine, January, 2007
  51. Distinguished Computer Science Lecture, University of Maryland, March, 2007
  52. Distinguished Computer Science Lecture, Lehigh University, April, 2007
  53. Invited Lecture, Computational Sensing and Imaging (COSI), M. Dirk Robinson and David G. Stork, Vancouver BC, June, 2007
  54. Invited Lecture, Computational Sensing and Imaging (COSI), David G. Stork and M. Dirk Robinson, Vancouver BC, June, 2007
  55. Distinguished Computer Science Lecture, State University of New York, Stony Brook, December, 2007
  56. SlashArts Lecture, Princeton University, February, 2008
  57. President's Dinner Lecture, Redlands University, September, 2008
  58. Plenary Lecture, Image analysis for artist identification conference, van Gogh Museum, Amsterdam, October, 2008
  59. Invited Lecture, Computational Sensing and Imaging (COSI), San Jose CA, 2009
  60. Distinguished Lecture, Department of computer science, University of Ottawa, Ottawa Ontario, November, 2009
  61. Plenary Lecture, Workshop on Applications of Computer Vision, Snowbird UT, December 2009
  62. Plenary Lecture, Computational aesthetics and photography, Malaysia, December 2009
  63. Invited Lecture, Human vision and electronic imaging, Electronic imaging, January 2010
  64. Invited lecture, Royal Dutch Academy of Science Symposium on Computers in the Humanities, Netherlands, February 2010
  65. Invited lecture series, Sparsity and modern mathematical modesl for high-dimensional data, Brussels, April 2010
  66. Plenary lecture, Annual Conference on New Directions in the Humanities, Los Angeles, CA June 2010
  67. Banquet lecture, Uncertainty in Artificial Intelligence, Catalina Island, CA, July 2010

AI Forum, Art Gallery of Calgary, Ask a Scientist (San Francisco), ATR Human Information Processing Laboratories Kyoto, Amazon.com, American Film Institute, Amherst College, Arizona State University, Art Institute of Chicago, Babson College, Bay Area Chapter of ACM, Beijing University, Boeing Corporation, Boston University, Bryn Mawr College, California State Polytechnic Pomona, California State University Sacramento, Cambridge University, Carleton University, Carnegie-Mellon University, Centre de Recherche et de Restauration des Musées de France, Chilmark Public Library, City College of New York, Clark University, Columbia University, Computer Museum History Center, Concordia University Montreal, Cornell University, CWI Amsterdam, Dartmouth College, Epson Research, Fermilab, Gage Art Academy, George Mason University, George Washington University, Google, Griffiss Air Force Base, Grinnell College, Harvard University, Haverford College, Holy Cross College, Honda America Research Labs, IBM Almaden Research Center, IBM T. J. Watson Research Center, Imperial College, Indian Institute of Technology (New Delhi), Industrial Materials Institute of the National Research Council (Canada), International Computer Science Institute (ICSI), International Institute for Advanced Scientific Studies (Salerno, Italy), Istituto per la Ricerca sui Sistemi Informatici Paralleli (Naples, Italy), Johns Hopkins University, KLA-Tencor Corporation, Kodak Research Labs, Lawrence Livermore Laboratory, Lehigh University, Los Alamos National Laboratory, The Louvre, Loyola Marymount College, Mensa Society of America San Francisco, Massachusetts Institute of Technology, Michigan State University, Microsoft Research Redmond, Microsoft Research Cambridge, MIT Club of Northern California, Mitsubishi Electric Research Lab (MERL), Muhlenberg College, National Gallery (London), National Gallery of Art (Washington), Naval Postgraduate Center (Monterey), Naval Research Laboratory, New College, New York University, Nichols College, Niels Bohr Institute (Copenhagen, Denmark), Nokia Research Center, North Arizona University, Oberlin College, Oregon Graduate Institute, Oxford University, Palo Alto Research Center (PARC), Philomorphs (Harvard University), Pixar Studios, Polaroid Corporation, Princeton University, Redlands College, Redwood Neuroscience Institute, Renaissance Technologies, Rensselaer Polytechnic Institute, Rice University, Ricoh Corporation, Rochester Institute of Technology, Rutgers University, San Jose Museum of Art, San Jose State University, Santa Fe Institute, Schlumberger-Doll Research Lab, Smith-Kettlewell Institute of Visual Science, Sony Computer Science Lab Paris, Sony Development Lab California, Southern Connecticut State University, Southern Methodist University, SRI International, Stanford University, State University of New York at Buffalo, Sun Microsystems, Swarthmore College, Technical University of Delft, Thompson-CSF, Union College, University of British Columbia, University of California Berkeley, University of California Santa Barbara, University of California Santa~Cruz, University of California Irvine, University of California Los~Angeles, University of Colorado Boulder, University of Delaware, University of Geneva, University of Groningen, University of Helsinki, University of Illinois Champaign-Urbana, University of Massachusetts Medical Center, University of Massachusetts Amherst, University of Memphis, University of Modena, University of Montreal, University of Oregon Eugene, University of Pennsylvania, University of Puget Sound, University of Redlands, University of Rochester, University of San Francisco, University of Southern California, University of Stockholm, University of Texas at Austin, University of Tokyo, University of Wisconsin Madison, Vassar College, Villanova University, Wellesley College, William and Mary College, Williams College, Worcester Polytechnic Institute, Xerox PARC, Yahoo! Research Berkeley, Yale University

  • Art Gallery of Calgary
  • Art Institute of Chicago
  • Belvédére Museum (Heerenveen, Netherlands)
  • Calgary Art Museum
  • Cantor Center for the Arts at Stanford (Stanford, CA)
  • Courtauld Institute (London)
  • de Young Museum (San Francisco)
  • Fogg Art Museum (Harvard U.)
  • Frye Galley of Art (Seattle, WA)
  • Hood Museum (Hanover, NH)
  • Kunsthistorisches Museum (Vienna)
  • The Louvre (Paris)
  • Mauritshuis (The Hague)
  • Memorial Art Gallery (Rochester, NY)
  • Metropolitan Museum of Art (New York)
  • Museum of Modern Art (New York)
  • National Gallery (London)
  • National Gallery of Art (Washington)
  • Musées Royaux d'Art et d'Histoire (Brussels)
  • San Jose Museum of Art
  • van Gogh Museum (Amsterdam)
  • Wadsworth Atheneum (Hartford, CT)
  • Venice Biennale (Italy)

 

 

 

Dr. David G. Stork

Chief Scientist

Ricoh Innovations

2882 Sand Hill Road, Suite 115

Menlo Park, CA 94025-7054 USA

650-496-5720 (phone)

650-854-8740 (fax)

[last name] [at] rii [dot] ricoh [dot] com