David G. Stork

2008
35	EE	David G. Stork: Book Review: "complexity Management in Fuzzy Systems: a Rule Base Compression Approach", Alexander Gegov. International Journal of Computational Intelligence and Applications 7(1): 101-102 (2008)
2006
34	EE	David G. Stork, M. Kimo Johnson: Estimating the location of illuminants in realist master paintings Computer image analysis addresses a debate in art history of the Baroque. ICPR (1) 2006: 255-258
2004
33	EE	Antonio Criminisi, David G. Stork: Did the great masters use optical projections while painting? Perspective Comparison of Paintings and Photographs of Renaissance Chandeliers. ICPR (4) 2004: 645-648
2003
32	EE	Rob J. van Glabbeek, David G. Stork: Query Nets: Interacting Workflow Modules That Ensure Global Termination. Business Process Management 2003: 184-199
31	EE	David G. Stork: Illumination and Color in the Hockney Theory of Renaissance Painting Praxis: A Critical Evaluation. Color Imaging Conference 2003: 11-15
30		Chuck P. Lam, David G. Stork: Evaluating Classifiers by Means of Test Data with Noisy Labels. IJCAI 2003: 513-518
2002
29	EE	David G. Stork, Rob J. van Glabbeek: Token-Controlled Place Refinement in Hierarchical Petri Nets with Application to Active Document Workflow. ICATPN 2002: 394-413
2001
28	EE	David G. Stork: Toward a Computational Theory of Data Acquisition and Truthing. COLT/EuroCOLT 2001: 194-207
27	EE	David G. Stork: An Architecture Supporting the Collection and Monitoring of Data Openly Contributed over the World Wide Web. WETICE 2001: 380-385
26	EE	David G. Stork: Keynote address: the HAL 9000 computer and the vision of 2001: a space odyssey. Winter Simulation Conference 2001: 3
2000
25		Maya Gupta, Michael J. Gormish, David G. Stork: Block Color Quantization: A New Method for Color Halftoning. ICIP 2000
24	EE	Ziming Liu, David G. Stork: Is paperless really more? Commun. ACM 43(11): 94-97 (2000)
23		David G. Stork: Using Open Data Collection for Intelligent Software. IEEE Computer 33(10): 104-106 (2000)
1999
22	EE	David G. Stork: Character and Document Research in the Open Mind Initiative. ICDAR 1999: 1-12
1998
21	EE	David G. Stork: From HAL to Office Appliances: Human-machine Interfaces in Science Fiction and Reality. IUI 1998: 181
1997
20		David G. Stork: Happy Birthday, HAL! IEEE Computer 30(1): 24-25 (1997)
1996
19	EE	David G. Stork, Marcus E. Hennecke: Invited Speech: "Speechreading: An Overview of Image Processing, Feature Extraction, Sensory Intergration and Pattern Recognition Techiques. FG 1996: 2-3
1995
18	EE	A. Zandi, David G. Stork, James D. Allen: Optimizing bit-plane context-dependent entropy coding for palettized images. ICIP 1995: 270-273
1994
17	EE	Alessandro Sperduti, David G. Stork: A Rapid Graph-based Method for Arbitrary Transformation-Invariant Pattern Classification. NIPS 1994: 665-672
16	EE	David G. Stork: Book Review: Handbook of Pattern Recognition & Computer Vision, Edited by C. H. Chen, L. F. Pau and P. S. P. Wang. Int. J. Neural Syst. 5(3): 257-258 (1994)
1993
15	EE	Gregory J. Wolff, K. Venkatesh Prasad, David G. Stork, Marcus E. Hennecke: Lipreading by Neural Networks: Visual Preprocessing, Learning, and Sensory Integration. NIPS 1993: 1027-1034
14	EE	Babak Hassibi, David G. Stork, Gregory J. Wolff: Optimal Brain Surgeon: Extensions and performance comparison. NIPS 1993: 263-270
13	EE	Michael Murray, Ming-Tak Leung, Kan Boonyanit, Kong Kritayakirana, James B. Burg, Gregory J. Wolff, Tokahiro Watanabe, Edward L. Schwartz, David G. Stork, Allern M. Peterson: Digital Boltzmann VLSI for Constraint Satisfaction and Learning. NIPS 1993: 896-903
12	EE	David G. Stork: Letter to the editor. Neural Networks 6(5): 609 (1993)
11		David G. Stork, James D. Allen: How to solve the N-bit encoder problem with just one hidden unit. Neurocomputing 5(2): 141-143 (1993)
1992
10	EE	Babak Hassibi, David G. Stork: Second Order Derivatives for Network Pruning: Optimal Brain Surgeon. NIPS 1992: 164-171
9	EE	Igor Grebert, David G. Stork, Ron Keesing, Steve Mims: Connectionist generalization for production: An example from GridFont. Neural Networks 5(4): 699-710 (1992)
8	EE	David G. Stork, James D. Allen: How to solve the N-bit parity problem with two hidden units. Neural Networks 5(6): 923-926 (1992)
1991
7	EE	Igor Grebert, David G. Stork, Ron Keesing, Steve Mims: Network Generalization for Production: Learning and Producing Styled Letterforms. NIPS 1991: 1118-1124
6	EE	Ron Keesing, David G. Stork, Carla J. Shatz: Retinogeniculate Development: The Role of Competition and Correlated Retinal Activity. NIPS 1991: 91-97
5	EE	David G. Stork: Book Review: "Introduction to the Theory of Neural Computation", John Hertz, Anders Krogh, and Richard G. Palmer. Int. J. Neural Syst. 2(1-2): 157-158 (1991)
4	EE	David G. Stork: Sources of Neural Structure in Speech and Language Processing. Int. J. Neural Syst. 2(3): 159-167 (1991)
3	EE	David G. Stork: Book Review: "Evolution of the First Nervous Systems", Peter A. V. Anderson (ed.). Int. J. Neural Syst. 2(4): 363-365 (1991)
1990
2	EE	Ron Keesing, David G. Stork: Evolution and Learning in Neural Networks. NIPS 1990: 804-810
1	EE	David G. Stork: Book Review: "Artificial Neural Systems: Foundations, Paradigms, Applications, and Implementations", Patrick K. Simpson. Int. J. Neural Syst. 1(3): 285-259 (1990)

Coauthor Index

1	James D. Allen	[8] [11] [18]
2	Kan Boonyanit	[13]
3	James B. Burg	[13]
4	Antonio Criminisi	[33]
5	Rob J. van Glabbeek	[29] [32]
6	Michael J. Gormish	[25]
7	Igor Grebert	[7] [9]
8	Maya Gupta	[25]
9	Babak Hassibi	[10] [14]
10	Marcus E. Hennecke	[15] [19]
11	M. Kimo Johnson	[34]
12	Ron Keesing	[2] [6] [7] [9]
13	Kong Kritayakirana	[13]
14	Chuck P. Lam	[30]
15	Ming-Tak Leung	[13]
16	Ziming Liu	[24]
17	Steve Mims	[7] [9]
18	Michael Murray	[13]
19	Allern M. Peterson	[13]
20	K. Venkatesh Prasad	[15]
21	Edward L. Schwartz	[13]
22	Carla J. Shatz	[6]
23	Alessandro Sperduti	[17]
24	Tokahiro Watanabe	[13]
25	Gregory J. Wolff	[13] [14] [15]
26	A. Zandi	[18]

Colors in the list of coauthors