慢慢冲刷 发表于 2025-3-25 04:50:30

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Gastric 发表于 2025-3-25 08:08:08

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Apraxia 发表于 2025-3-25 13:49:03

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宠爱 发表于 2025-3-25 17:41:42

Sridhar Mahadevanhinder the data acquisition process. Current medical image synthesis techniques, often designed for specific tasks or modalities, exhibit diminished performance when confronted with heterogeneous-source MRI data. Here we introduce a .ext-guided .niversal .R image .thesis (TUMSyn) generalist model to

自然环境 发表于 2025-3-25 20:18:16

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ADORE 发表于 2025-3-26 04:10:52

Overview,an be used to generate in a unique manner all the remaining elements. This simple notion of representation turns out to be surprisingly rich both theoretically—it includes representations in finite-dimensional linear algebra , group theory , and infinite-dimensional function spaces —as

Visual-Acuity 发表于 2025-3-26 08:12:41

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Palate 发表于 2025-3-26 10:20:25

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BABY 发表于 2025-3-26 14:40:59

Book 2008s book is to show that these analytical tools can be generalized from their usual setting in (infinite-dimensional) Euclidean spaces to discrete (finite-dimensional) spaces typically studied in many subfields of AI. Generalizing harmonic analysis to discrete spaces poses many challenges: a discrete

显而易见 发表于 2025-3-26 19:13:01

1939-4608 rete (finite-dimensional) spaces typically studied in many subfields of AI. Generalizing harmonic analysis to discrete spaces poses many challenges: a discrete 978-3-031-00418-6978-3-031-01546-5Series ISSN 1939-4608 Series E-ISSN 1939-4616
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查看完整版本: Titlebook: Representation Discovery using Harmonic Analysis; Sridhar Mahadevan Book 2008 Springer Nature Switzerland AG 2008