| 1999 |
|---|
| 8 | EE | Jeffrey L. Krichmar,
Kim T. Blackwell,
Garth S. Barbour,
Alexander B. Golovan,
Thomas P. Vogl:
A solution to the feature correspondence problem inspired by visual scanpaths.
Neurocomputing 26-27: 769-778 (1999) |
| 1998 |
|---|
| 7 | EE | Michael A. Brown,
Kim T. Blackwell,
H. G. Khalak,
Garth S. Barbour,
Thomas P. Vogl:
Multi-Scale Edge Detection And Feature Binding: An Integrated Approach.
Pattern Recognition 31(10): 1479-1490 (1998) |
| 1997 |
|---|
| 6 | | Kim T. Blackwell,
Thomas P. Vogl,
Hans P. Dettmar,
Michael A. Brown,
Garth S. Barbour,
Daniel L. Alkon:
Identification of faces obscured by noise: comparison of an artificial neural network with human observers.
J. Exp. Theor. Artif. Intell. 9(4): 491-508 (1997) |
| 1996 |
|---|
| 5 | EE | Hans P. Dettmar,
Garth S. Barbour,
Kim T. Blackwell,
Thomas P. Vogl,
Daniel L. Alkon,
Fred S. Fry Jr.,
Joseph E. Totah,
T. L. Chambers:
Orange Juice Classification with a Biologically Based Neural Network.
Computers & Chemistry 20(2): 261-265 (1996) |
| 1994 |
|---|
| 4 | EE | Daniel L. Alkon,
Kim T. Blackwell,
Garth S. Barbour,
Susan A. Werness,
Thomas P. Vogl:
Biological plausibility of synaptic associative memory models.
Neural Networks 7(6-7): 1005-1017 (1994) |
| 1992 |
|---|
| 3 | EE | Kim T. Blackwell,
Thomas P. Vogl,
S. D. Hyman,
Garth S. Barbour,
Daniel L. Alkon:
A new approach to hand-written character recognition.
Pattern Recognition 25(6): 655-666 (1992) |
| 1991 |
|---|
| 2 | EE | A. K. Rigler,
J. M. Irvine,
Thomas P. Vogl:
Rescaling of variables in back propagation learning.
Neural Networks 4(2): 225-229 (1991) |
| 1988 |
|---|
| 1 | EE | Daniel L. Alkon,
Francis K. H. Quek,
Thomas P. Vogl:
Computer Modeling of Associative Learning.
NIPS 1988: 419-435 |
