Agoraphobia
发表于 2025-3-21 19:39:50
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painkillers
发表于 2025-3-21 22:49:46
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背心
发表于 2025-3-22 02:24:12
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撕裂皮肉
发表于 2025-3-22 06:30:38
Introduction,ded inspiration to address more practical problems which have . as opposed to . patterns (e.g. alphanumeric characters, aircraft silhouettes) and are also more complex in nature as opposed to purely edge-extracted images - human face recognition . such a problem.
激励
发表于 2025-3-22 08:54:44
Implementation of Invariances,. T1 and t1 are similar triangles, T2 and t2 are similar, whereas t1 and t2 are dissimilar. For example, T1 is a scaled and rotated version of t1. T3 is dissimilar to Tl and t1 as it is a scaled, lateral inversion therefore the sequence of internal angles would not be the same. T4 is dissimilar to all of the other triangles.
exophthalmos
发表于 2025-3-22 16:53:33
Facial Pattern Recognition,nd, unlike Fourier descriptors, do not require closed boundaries. Moment invariants were first proposed by Hu _in 1961 using non-linear combinations of regular(geometric) moments which are invariant under scale, translation, and rotation image transformations.
calamity
发表于 2025-3-22 17:55:38
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Overthrow
发表于 2025-3-23 00:27:48
Network Training, presents input patterns to the network, compares the resulting outputs with those desired, and then adjusts the network weights accordingly in order to reduce the difference. Unsupervised training requires no’ teacher’: input patterns are applied and the network selforganises by updating its weights according to a pre-defined algorithm.
干涉
发表于 2025-3-23 04:25:07
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antenna
发表于 2025-3-23 08:06:52
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