SYSTEM AND METHOD FOR LEARNING FROM PARTIAL COMPRESSED REPRESENTATION

The present disclosure relates to a system and method for machine learning from partial compressed representation. In some embodiments, an exemplary machine learning system includes: a compressor having circuitry configured to use a compression neural network to compress an image into a compressed r...

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Bibliographische Detailangaben
Hauptverfasser: CHEN, Yen-Kuang, WANG, Zhenzhen, QIN, Minghai
Format: Patent
Sprache:eng
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Beschreibung
Zusammenfassung:The present disclosure relates to a system and method for machine learning from partial compressed representation. In some embodiments, an exemplary machine learning system includes: a compressor having circuitry configured to use a compression neural network to compress an image into a compressed representation, the compressed representation comprising a sequence of compressed channels; a selector having circuitry configured to select a part of the compressed channels from the compressed representation; and a learning module having circuitry configured to perform a learning task on the selected compressed channels.