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Low-complexity lossless compression of hyperspectral imagery via linear prediction.

, , , and . IEEE Signal Process. Lett., 12 (2): 138-141 (2005)

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Compression of hyperspectral imagery via linear prediction., , , and . e-Business and Telecommunication Networks, Springer, (2006)Shape recognition, with applications to a passive assistant., , , and . PETRA, ACM, (2010)Compression-Based Tools for Navigation with an Image Database., , , , and . Algorithms, 5 (1): 1-17 (2012)Human-Driven Edge Computing and Communication: Part 1., , , , , and . IEEE Commun. Mag., 55 (11): 70-71 (2017)Exploring Heterogeneous Characteristics of Layers in ASR Models for More Efficient Training., , , , and . CoRR, (2021)Online Model Compression for Federated Learning with Large Models., , , , , and . ICASSP, page 1-5. IEEE, (2023)Enabling On-Device Training of Speech Recognition Models With Federated Dropout., , , , , , , and . ICASSP, page 8757-8761. IEEE, (2022)Shape Recognition Using Vector Quantization., , and . DCC, page 484-493. IEEE Computer Society, (2010)Partitioned vector quantization: application to lossless compression of hyperspectral images., , and . ICME, page 553-556. IEEE Computer Society, (2003)Lossless image coding via adaptive linear prediction and classification., , and . Proc. IEEE, 88 (11): 1790-1796 (2000)