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- Gerhard X. Ritter, Peter Sussner, Juan Luis DÃaz-de-LeÃ³n S.
- IEEE Trans. Neural Networks
- 1998

The theory of artificial neural networks has been successfully applied to a wide variety of pattern recognition problems. In this theory, the first step in computing the next state of a neuron or inâ€¦ (More)

- Gerhard X. Ritter, Juan Luis DÃaz-de-LeÃ³n S., Peter Sussner
- Neural Networks
- 1999

The theory of artificial neural networks has been successfully applied to a wide variety of pattern recognition problems. In this theory, the first step in computing the next state of a neuron or inâ€¦ (More)

- Peter Sussner, EstevÃ£o Laureano Esmi
- Inf. Sci.
- 2011

- Peter Sussner
- Neurocomputing
- 2000

1 Abstract The ability of human beings to retrieve information on the basis of associated cues continues to elicit great interest among researchers. Investigations of how the brain is capable to makeâ€¦ (More)

- M E Valle, Peter Sussner, Fernando A. C. Gomide
- 2004 IEEE International Joint Conference onâ€¦
- 2004

Associative neural memories are models of biological phenomena that allow for the storage of pattern associations and the retrieval of the desired output pattern upon presentation of a possibly noisyâ€¦ (More)

- Gerhard X. Ritter, Peter Sussner
- ICPR
- 1996

The theory of artificial neural networks has been successfully applied to a wide variety of pattern recognition problems. In this theory, the first step in computing the next state of a neuron or inâ€¦ (More)

- Peter Sussner, Mike Nachtegael, Tom MÃ©lange, Glad Deschrijver, EstevÃ£o Laureano Esmi, Etienne E. Kerre
- Journal of Mathematical Imaging and Vision
- 2011

Mathematical morphology (MM) offers a wide range of tools for image processing and computer vision. MM was originally conceived for the processing of binary images and later extended to gray-scaleâ€¦ (More)

- Peter Sussner
- 1998

1 Abstract During the last decade, researchers have applied neural networks to a multitude of diicult tasks which would normally require human intelligence. In particular, percep-trons are used toâ€¦ (More)

- Peter Sussner, Marcos Eduardo Valle
- IEEE Transactions on Neural Networks
- 2006

Neural models of associative memories are usually concerned with the storage and the retrieval of binary or bipolar patterns. Thus far, the emphasis in research on morphological associative memoryâ€¦ (More)

- Peter Sussner
- Journal of Mathematical Imaging and Vision
- 2003

Morphological neural networks (MNNs) are a class of artificial neural networks whose operations can be expressed in the mathematical theory of minimax algebra. In a morphological neural net, theâ€¦ (More)