Thomas P. Vogl

11 papers Journal 10Unranked 1
YearRankTypeTitle / Venue / Authors
1999 J jnl
A solution to the feature correspondence problem inspired by visual scanpaths.
Neurocomputing
Jeffrey L. Krichmar, Kim T. Blackwell, Garth S. Barbour, Alexander B. Golovan, Thomas P. Vogl
1998 J jnl
Multi-Scale Edge Detection And Feature Binding: An Integrated Approach.
Pattern Recognit.
Michael A. Brown, Kim T. Blackwell, H. G. Khalak, Garth S. Barbour, Thomas P. Vogl
1997 J jnl
Identification of faces obscured by noise: comparison of an artificial neural network with human observers.
J. Exp. Theor. Artif. Intell.
Kim T. Blackwell, Thomas P. Vogl, Hans P. Dettmar, Michael A. Brown, Garth S. Barbour, Daniel L. Alkon
1996 J jnl
Orange Juice Classification with a Biologically Based Neural Network.
Comput. Chem.
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
1994 J jnl
Biological plausibility of synaptic associative memory models.
Neural Networks
Daniel L. Alkon, Kim T. Blackwell, Garth S. Barbour, Susan A. Werness, Thomas P. Vogl
1993 J jnl
Associative learning in a network model of
Biol. Cybern.
Susan A. Werness, S. Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon
1993 J jnl
Associative learning in a network model of
Biol. Cybern.
Susan A. Werness, S. Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon
1992 J jnl
A new approach to hand-written character recognition.
Pattern Recognit.
Kim T. Blackwell, Thomas P. Vogl, S. D. Hyman, Garth S. Barbour, Daniel L. Alkon
1992 J jnl
Associative learning in a network model of
Biol. Cybern.
Susan A. Werness, S. Dale Fay, Kim T. Blackwell, Thomas P. Vogl, Daniel L. Alkon
1991 J jnl
Rescaling of variables in back propagation learning.
Neural Networks
A. K. Rigler, J. M. Irvine, Thomas P. Vogl
1988 — conf
Computer Modeling of Associative Learning.
NIPS
Daniel L. Alkon, Francis K. H. Quek, Thomas P. Vogl