Self-organization and associative memory: 3rd edition
Self-organization and associative memory: 3rd edition
Why mathematical morphology needs complete lattices
Signal Processing
Associative neural memories
Handbook of Computer Vision Algorithms in Image Algebra
Handbook of Computer Vision Algorithms in Image Algebra
Morphological Image Analysis: Principles and Applications
Morphological Image Analysis: Principles and Applications
Biophysiologically plausible implementations of the maximum operation
Neural Computation
Reconstruction of Patterns from Noisy Inputs Using Morphological Associative Memories
Journal of Mathematical Imaging and Vision
Journal of Mathematical Imaging and Vision
Associative morphological memories based on variations of the kernel and dual kernel methods
Neural Networks - 2003 Special issue: Advances in neural networks research — IJCNN'03
Image Analysis and Mathematical Morphology
Image Analysis and Mathematical Morphology
Computer Vision and Image Understanding
A comparative study on multivariate mathematical morphology
Pattern Recognition
On lexicographical ordering in multivariate mathematical morphology
Pattern Recognition Letters
A Bidirectional Hetero-Associative Memory for True-Color Patterns
Neural Processing Letters
A New Associative Model with Dynamical Synapses
Neural Processing Letters
Computational Intelligence-Based Biometric Technologies
IEEE Computational Intelligence Magazine
A kernel autoassociator approach to pattern classification
IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Morphological associative memories
IEEE Transactions on Neural Networks
Face recognition by applying wavelet subband representation and kernel associative memory
IEEE Transactions on Neural Networks
Gray-scale morphological associative memories
IEEE Transactions on Neural Networks
Color image associative memory on a class of Cohen-Grossberg networks
Pattern Recognition
Permutation-based finite implicative fuzzy associative memories
Information Sciences: an International Journal
Biologically inspired means for rank-order encoding images: a quantitative analysis
IEEE Transactions on Neural Networks
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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This brief introduces a new class of sparsely connected autoassociative morphological memories (AMMs) that can be effectively used to process large multivalued patterns, which include color images as a particular case. Such as the single-valued AMMs, the multivalued models exhibit optimal absolute storage capacity and one-step convergence. The remarkable feature of the proposed models is their sparse structure. In fact, the number of synaptic junctions--and consequently the required computational resources--usually decreases considerably as more and more patterns are stored in the novel multivalued AMMs.