Generative approaches for solving tangram puzzles
Abstract The Tangram is a dissection puzzle composed of seven polygonal pieces that can form different patterns. Solving the Tangram is an irregular shape packing problem known to be NP-hard. This paper investigates the application of four deep-learning architectures—Convolutional Autoencoder, Varia...
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| Hlavní autoři: | , , , |
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| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Springer
2024-02-01
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| Edice: | Discover Artificial Intelligence |
| Témata: | |
| On-line přístup: | https://doi.org/10.1007/s44163-024-00107-6 |
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