A paradigm for semantic picture recognition
1974
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Abstract
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AI
A new paradigm for semantic picture recognition is proposed, addressing limitations in existing syntactic approaches that fail to utilize contextual information and adequately describe various shapes. This semantic paradigm incorporates rules of inference and intensional class descriptions to enhance recognition of ambiguous shapes and non-pictorial paraphrases. The effectiveness of this model is evaluated against challenges such as non-ideal data and perceptual multistability.
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