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insikt - Neural Network-Based Distributed Compression
Robust Distributed Compression with Learned Heegard-Berger Scheme: Neural Network-Based Solutions for Lossy Source Coding
The author proposes learning-based schemes for lossy compression in the absence of decoder-only side information, mimicking the achievability part of the Heegard–Berger theorem and operating close to information-theoretic bounds.
学習されたHeegard-Bergerスキームを使用した堅牢な分散圧縮
学習された圧縮器はHeegard-Berger定理の達成部分を模倣し、情報理論的な限界に近い操作可能な結果をもたらします。
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