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Titlebook: Artificial Intelligence in Music, Sound, Art and Design; 9th International Co Juan Romero,Anikó Ekárt,Jo?o Correia Conference proceedings 2

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51#
發(fā)表于 2025-3-30 11:08:12 | 只看該作者
,Der Urknall – Wie alles begann, We discuss here how we adapted and enhanced an evolutionary art approach for casual creation. Employing a fun-first methodology for the app design, we improved image production speed and the quality of randomly generated images. We further employed machine vision techniques for image categorisation
52#
發(fā)表于 2025-3-30 13:49:23 | 只看該作者
53#
發(fā)表于 2025-3-30 20:08:50 | 只看該作者
Albert Albers,Berend Denkena,Sven Matthiesen. Picbreeder interactively evolves images based on user preferences, and selected image tiles are sent to WFC. WFC generates patterns by filling a grid with various rotations of the tile images, placed according to simple constraints. Then other images from Picbreeder act as templates for combining
54#
發(fā)表于 2025-3-30 21:39:36 | 只看該作者
55#
發(fā)表于 2025-3-31 03:06:27 | 只看該作者
https://doi.org/10.1007/978-3-642-31931-0s due to its uniqueness and high commercial value in key areas of music analysis such as music retrieval and automatic music transcription. With the attention paid to deep learning and artificial intelligence, they have been more and more widely applied in the field of MIR, thus making breakthroughs
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