Associative structures for vision

DOI10.1007/BF00985864zbMath0791.68167OpenAlexW2093829379WikidataQ58779242 ScholiaQ58779242MaRDI QIDQ1316210

Davide Anguita, Giancarlo Parodi, Rodolfo Zunino

Publication date: 14 March 1994

Published in: Multidimensional Systems and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00985864

zbMATH Keywords

neural networksimage understandingassociative memoriesintegrative associative structuresrobust computer visionstimulus response

Mathematics Subject Classification ID

Computing methodologies for image processing (68U10)

Cites Work

• Self-organization and associative memory
• An algebraic model of an associative noise-like coding memory
• A massively parallel architecture for a self-organizing neural pattern recognition machine
• Object recognition by a Hopfield neural network
• Convolution and correlation algebras
• Neural networks and physical systems with emergent collective computational abilities.
• Learning representations by back-propagating errors
• Neurons with graded response have collective computational properties like those of two-state neurons.
• Correlation Matrix Memories
• On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities
• Approximation by superpositions of a sigmoidal function
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