Changes
On January 3, 2025 at 12:50:05 AM UTC,
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Changed value of field
doi_date_published
to2025-01-03
in Generative Adversarial Source Separation -
Changed value of field
doi_status
toTrue
in Generative Adversarial Source Separation -
Added resource Original Metadata to Generative Adversarial Source Separation
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3 | "author": "Y.Cem Subakan", | 3 | "author": "Y.Cem Subakan", | ||
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37 | "name": "generative-adversarial-source-separation", | 37 | "name": "generative-adversarial-source-separation", | ||
38 | "notes": "Generative source separation methods such as non-negative | 38 | "notes": "Generative source separation methods such as non-negative | ||
39 | matrix factorization (NMF) or auto-encoders, rely on the assumption of | 39 | matrix factorization (NMF) or auto-encoders, rely on the assumption of | ||
40 | an output probability density. Generative Adversarial Networks (GANs) | 40 | an output probability density. Generative Adversarial Networks (GANs) | ||
41 | can learn data distributions without needing a parametric assumption | 41 | can learn data distributions without needing a parametric assumption | ||
42 | on the output density.", | 42 | on the output density.", | ||
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87 | "title": "Generative Adversarial Source Separation", | 128 | "title": "Generative Adversarial Source Separation", | ||
88 | "type": "dataset", | 129 | "type": "dataset", | ||
89 | "version": "" | 130 | "version": "" | ||
90 | } | 131 | } |