雄伟 发表于 2025-3-23 10:18:53

SOO-PIN: Picture Interpretation Networks,er, the procedural object-oriented language Java. Both systems propagate uncertainty through the agents using Baldwin’s (1986) formulation . The system is illustrated with interpretations of traffic intersection images.

去掉 发表于 2025-3-23 15:38:29

Invariance Signatures for Two-Dimensional Contours,ate spaces. MBNNs can be trained with much smaller training sets than are required by TNNs. This means that MBNNs are much less computationally-expensive to train than TNNs. Experiments demonstrate that such Invariance Signature networks can be employed successfully for shift-, rotation- and scale-invariant optical character recognition.

全部 发表于 2025-3-23 19:48:39

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Deadpan 发表于 2025-3-23 22:33:05

Fuzzy Conditional Rule Generation for the Learning and Recognition of 3D Objects from 2D Images,st is the use of a recent ML technique (specifically CRG - Conditional Rule Generation) which generates descriptions of objects in terms of object parts and part relational attribute bounds. We show how this technique can be combined with intensity-based model and scene views to locate objects and t

CROAK 发表于 2025-3-24 04:51:24

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braggadocio 发表于 2025-3-24 10:29:19

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innovation 发表于 2025-3-24 12:44:45

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不能平静 发表于 2025-3-24 15:15:39

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Postmenopause 发表于 2025-3-24 19:46:55

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esoteric 发表于 2025-3-25 02:32:43

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查看完整版本: Titlebook: Machine Learning and Image Interpretation; Terry Caelli,Walter F. Bischof Book 1997 Springer Science+Business Media New York 1997 computer