A general framework for fuzzy morphological associative memories
Fuzzy Sets and Systems
Associative Memories Applied to Pattern Recognition
ICANN '08 Proceedings of the 18th international conference on Artificial Neural Networks, Part II
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Hetero-Associative Memories for Voice Signal and Image Processing
CIARP '08 Proceedings of the 13th Iberoamerican congress on Pattern Recognition: Progress in Pattern Recognition, Image Analysis and Applications
Voice Translator Based on Associative Memories
ISNN '08 Proceedings of the 5th international symposium on Neural Networks: Advances in Neural Networks, Part II
A Bidirectional Hetero-Associative Memory for True-Color Patterns
Neural Processing Letters
A New Associative Model with Dynamical Synapses
Neural Processing Letters
Morphological Hetero-Associative Memories Applied to Restore True-Color Patterns
ISNN 2009 Proceedings of the 6th International Symposium on Neural Networks: Advances in Neural Networks - Part III
IEEE Transactions on Neural Networks
A class of sparsely connected autoassociative morphological memories for large color images
IEEE Transactions on Neural Networks
IEEE Transactions on Neural Networks
Morphological auto-associative memories applied to true-color image patterns
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
An introduction to morphological perceptrons with competitive learning
IJCNN'09 Proceedings of the 2009 international joint conference on Neural Networks
One shot associative memory method for distorted pattern recognition
AI'07 Proceedings of the 20th Australian joint conference on Advances in artificial intelligence
Face recognition using some aspects of the infant vision system and associative memories
CIARP'07 Proceedings of the Congress on pattern recognition 12th Iberoamerican conference on Progress in pattern recognition, image analysis and applications
A new method of morphological associative memories
ICIC'09 Proceedings of the Intelligent computing 5th international conference on Emerging intelligent computing technology and applications
Color image associative memory on a class of Cohen-Grossberg networks
Pattern Recognition
Information Sciences: an International Journal
Information Sciences: an International Journal
Lattice independent component analysis for functional magnetic resonance imaging
Information Sciences: an International Journal
A class of hybrid morphological perceptrons with application in time series forecasting
Knowledge-Based Systems
Lattice independent component analysis for mobile robot localization
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
An introduction to the kosko subsethood FAM
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Median hetero-associative memories applied to the categorization of true-color patterns
HAIS'10 Proceedings of the 5th international conference on Hybrid Artificial Intelligence Systems - Volume Part II
Information storage and retrieval analysis of hierarchically coupled associative memories
Information Sciences: an International Journal
An endmember-based distance for content based hyperspectral image retrieval
Pattern Recognition
HAIS'12 Proceedings of the 7th international conference on Hybrid Artificial Intelligent Systems - Volume Part II
Nonlinear quantization on Hebbian-type associative memories
Applied Intelligence
Quantale-based autoassociative memories with an application to the storage of color images
Pattern Recognition Letters
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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 memory systems has been on binary models, although a number of notable features of autoassociative morphological memories (AMMs) such as optimal absolute storage capacity and one-step convergence have been shown to hold in the general, gray-scale setting. In this paper, we make extensive use of minimax algebra to analyze gray-scale autoassociative morphological memories. Specifically, we provide a complete characterization of the fixed points and basins of attractions which allows us to describe the storage and recall mechanisms of gray-scale AMMs. Computer simulations using gray-scale images illustrate our rigorous mathematical results on the storage capacity and the noise tolerance of gray-scale morphological associative memories (MAMs). Finally, we introduce a modified gray-scale AMM model that yields a fixed point which is closest to the input pattern with respect to the Chebyshev distance and show how gray-scale AMMs can be used as classifiers