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Artificial neuron / Synaptic weight / Neuroscience / Attractor network / Neural networks / Cybernetics / Science


IEEE Transactions on Pattern Analysis and Machine Intelligence, 27(5):753–761, 2005 Learning Viewpoint Invariant Perceptual Representations from Cluttered Images M. W. Spratling Division of Engineering, King’s Colle
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Document Date: 2009-12-08 15:55:31


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City

San Francisco / London / San Diego / /

Company

Hanson / Neural Systems / Neural Information Processing Systems / CA. Academic Press / /

Country

United Kingdom / /

Facility

King’s College / Birkbeck College / /

IndustryTerm

real-world applications / upper network / attractor network / conjunctive network / possible solution / lower network / large number different algorithms / max operator / above algorithm / disjunctive network / steady-state solution / /

Organization

Centre for Brain and Cognitive Development / King’s College / Cluttered Images M. W. Spratling Division of Engineering / Pattern Analysis and Machine Intelligence / Birkbeck College / London / /

Person

Cowan / Clark / Thornton / Computational Neuroscience / Morgan Kaufmann / /

Position

editor / Prime Minister / /

PublishedMedium

IEEE Transactions on Pattern Analysis and Machine Intelligence / /

Technology

alpha / above algorithm / machine vision / neural network / proposed algorithm / /

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