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Perceptron for Large Margin Classification

Published
Dec 1, 1999

Perceptron for Large Margin Classification is an AI model developed by University of California San Diego, Shannon Laboratory and AT&T (United States), first published in December 1999. It works in the vision domain, on tasks such as character recognition (ocr).

Epoch AI has no training-compute estimate for this model. It was trained on roughly 60K datapoints.

The reference paper has 1,731 citations.

Full record
Organization
University of California San Diego, Shannon Laboratory, AT&T
Country of organization
United States
Domain
Vision
Task
Character recognition (OCR)
Dataset size
60K
Citations
1,731
SourceEpoch AI, 'AI Models'. Published online at epoch.ai. Retrieved 2026-07-29 from https://epoch.ai/data/ai-models. Licensed under CC BY 4.0.
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