Attractor Networks for Shape Recognition

DOI10.1162/08997660152002906zbMath0963.68641OpenAlexW2168965695WikidataQ52019499 ScholiaQ52019499MaRDI QIDQ2723314

Massimo Mascaro, Yali Amit

Publication date: 5 July 2001

Published in: Neural Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1162/08997660152002906

zbMATH Keywords

shape recognition

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Pattern recognition, speech recognition (68T10) Computing methodologies and applications (68U99)

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Cites Work

• A neural network model for selective attention in visual pattern recognition
• Arcing classifiers. (With discussion)
• Boosting the margin: a new explanation for the effectiveness of voting methods
• Penalized discriminant analysis
• Learning viewpoint-invariant face representations from visual experience in an attractor network
• Slow stochastic Hebbian learning of classes of stimuli in a recurrent neural network
• Storage capacity of neural networks: effect of the fluctuations of the number of active neurons per memory
• Neural networks and physical systems with emergent collective computational abilities.

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