Search Results - Lossy coding for computing

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  1. 1

    Lossy Computing with Side Information via Multi-Hypergraphs by Yuan, Deheng, Guo, Tao, Bai, Bo, Han, Wei

    Published: IEEE 01.11.2022
    “…We consider a problem of coding for computing, where the decoder wishes to estimate a function of its local message and the source message at the encoder within a given distortion…”
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    Conference Proceeding
  2. 2

    Robust coding for lossy computing with receiver-side observation costs by Ahmadi, B., Simeone, O.

    ISBN: 1457705966, 9781457705960
    ISSN: 2157-8095
    Published: IEEE 01.07.2011
    “…1 An encoder wishes to minimize the bit rate necessary to guarantee that a decoder is able to calculate a symbol-wise function of a sequence available only at…”
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    Conference Proceeding
  3. 3

    Robust Coding for Lossy Computing with Receiver-Side Observation Costs by Ahmadi, Behzad, Simeone, Osvaldo

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 18.04.2012
    Published in arXiv.org (18.04.2012)
    “…An encoder wishes to minimize the bit rate necessary to guarantee that a decoder is able to calculate a symbolwise function of a sequence available only at the…”
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    Paper
  4. 4

    Robust Coding for Lossy Computing with Observation Costs by Ahmadi, Behzad, Simeone, Osvaldo

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 16.04.2012
    Published in arXiv.org (16.04.2012)
    “…An encoder wishes to minimize the bit rate necessary to guarantee that a decoder is able to calculate a symbol-wise function of a sequence available only at…”
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    Paper
  5. 5

    Adaptive Joint Lossy Source-Channel Coding for Multihop IoT Networks by Chen, Daijie, Zhao, Dan, Qian, Zhixiang

    ISSN: 1530-8669, 1530-8677
    Published: Cairo, Egypt Hindawi Publishing Corporation 2020
    “… Specifically, we consider an adaptive joint lossy source-channel coding (JLSCC) system, where the energy efficiency and reliability performances…”
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    Journal Article
  6. 6

    Computing the optimal error exponential function for fixed-length lossy coding in discrete memoryless sources by Jitsumatsu, Yutaka

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 23.04.2023
    Published in arXiv.org (23.04.2023)
    “…\). Arimoto's algorithm for computing the error exponent in lossy source coding is based on Blahut's parametric representation of the error exponent…”
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    Paper
  7. 7

    Algorithm Families for Computing Information-Theoretic Forms of Strong Converse Exponents in Channel Coding and Lossy Source Coding by Jitsumatsu, Yutaka, Oohama, Yasutada

    ISSN: 2331-8422
    Published: Ithaca Cornell University Library, arXiv.org 04.11.2022
    Published in arXiv.org (04.11.2022)
    “…The error exponent of a discrete memoryless channel is expressed in two forms. One is Gallager's expression with a positive slope parameter and the other is…”
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    Paper
  8. 8

    Flexible Lossy Compression for Selective Encrypted Image With Image Inpainting by Qin, Chuan, Zhou, Qing, Cao, Fang, Dong, Jing, Zhang, Xinpeng

    ISSN: 1051-8215, 1558-2205
    Published: New York IEEE 01.11.2019
    “…In this paper, a novel lossy compression scheme for encrypted image based on image inpainting is proposed…”
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    Journal Article
  9. 9

    TAC+: Optimizing Error-Bounded Lossy Compression for 3D AMR Simulations by Wang, Daoce, Pulido, Jesus, Grosset, Pascal, Jin, Sian, Tian, Jiannan, Zhao, Kai, Ahrens, James, Tao, Dingwen

    ISSN: 1045-9219, 1558-2183
    Published: New York IEEE 01.03.2024
    “… Error-bounded lossy compression has been considered one of the most effective solutions to the above problem…”
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    Journal Article
  10. 10

    JPEG-ACT: Accelerating Deep Learning via Transform-based Lossy Compression by Evans, R. David, Liu, Lufei, Aamodt, Tor M.

    Published: IEEE 01.05.2020
    “… We propose JPEG for ACTivations (JPEGACT), a lossy activation offload accelerator for training CNNs that works by discarding redundant spatial information…”
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    Conference Proceeding
  11. 11

    Network Coding Approaches for Distributed Computation over Lossy Wireless Networks by Fan, Bin, Tang, Bin, Qu, Zhihao, Ye, Baoliu

    ISSN: 1099-4300, 1099-4300
    Published: Switzerland MDPI AG 27.02.2023
    Published in Entropy (Basel, Switzerland) (27.02.2023)
    “…In wireless distributed computing systems, worker nodes connect to a master node wirelessly and perform large-scale computational tasks that are parallelized across…”
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    Journal Article
  12. 12

    TopoSZ: Preserving Topology in Error-Bounded Lossy Compression by Yan, Lin, Liang, Xin, Guo, Hanqi, Wang, Bei

    ISSN: 1077-2626, 1941-0506, 1941-0506
    Published: United States IEEE 01.01.2024
    “…Existing error-bounded lossy compression techniques control the pointwise error during compression to guarantee the integrity of the decompressed data…”
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    Journal Article
  13. 13

    High-Throughput Lossy-to-Lossless 3D Image Compression by Rossinelli, Diego, Fourestey, Gilles, Schmidt, Felix, Busse, Bjorn, Kurtcuoglu, Vartan

    ISSN: 0278-0062, 1558-254X, 1558-254X
    Published: United States IEEE 01.02.2021
    Published in IEEE transactions on medical imaging (01.02.2021)
    “… Although the effective bandwidth could, principally, be increased by lossy-to-lossless data compression, this is of limited value in practice due to the high computational demand of current schemes…”
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    Journal Article
  14. 14

    A new lossy compression algorithm for wireless sensor networks using Bayesian predictive coding by Chen, Chen, Zhang, Limao, Tiong, Robert Lee Kong

    ISSN: 1022-0038, 1572-8196
    Published: New York Springer US 01.11.2020
    Published in Wireless networks (01.11.2020)
    “… They are less efficient when there are abnormal and faulty measurements or missing data. This paper proposes a new lossy compression approach using the Bayesian predictive coding (BPC…”
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    Journal Article
  15. 15

    A Novel Encryption-Then-Lossy-Compression Scheme of Color Images Using Customized Residual Dense Spatial Network by Wang, Chuntao, Zhang, Tianjian, Chen, Hao, Huang, Qiong, Ni, Jiangqun, Zhang, Xinpeng

    ISSN: 1520-9210, 1941-0077
    Published: Piscataway IEEE 2023
    Published in IEEE transactions on multimedia (2023)
    “… In this paper we present a novel deep-learning-based approach to encryption-then-lossy-compression (ETC…”
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    Journal Article
  16. 16

    Lossy Compression for Compute-and-Forward in Limited Backhaul Uplink Multicell Processing by Aguerri, Inaki Estella, Zaidi, Abdellatif

    ISSN: 0090-6778, 1558-0857
    Published: New York IEEE 01.12.2016
    Published in IEEE transactions on communications (01.12.2016)
    “…) via error-free rate-limited backhaul links. We propose two lattice-based coding schemes…”
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    Journal Article
  17. 17

    Computation of the Optimal Error Exponent Function for Fixed-Length Lossy Source Coding in Discrete Memoryless Sources by Jitsumatsu, Yutaka

    ISSN: 0018-9448, 1557-9654
    Published: IEEE 01.05.2025
    Published in IEEE transactions on information theory (01.05.2025)
    “…Marton's optimal error exponent for the lossy source coding problem is defined as a non-convex optimization problem…”
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    Journal Article
  18. 18

    Bandwidth-Satisfied Multicast by Multiple Trees and Network Coding in Lossy MANETs by Yu-Hsun Chen, Wu, Eric Hsiao-Kuang, Gen-Huey Chen

    ISSN: 1932-8184, 1937-9234
    Published: New York IEEE 01.06.2017
    Published in IEEE systems journal (01.06.2017)
    “…) to enhance reliability. In this paper, a multicast routing protocol that constructs multiple multicast trees and employs network coding is proposed for lossy MANETs, where each multicast tree can satisfy a predefined…”
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    Journal Article
  19. 19

    Sphinx: A transport protocol for high-speed and lossy mobile networks by Li, Junfeng, Li, Dan, Wu, Wenfei, Ramakrishnan, K.K., Geng, Jinkun, Wang, Fanzhao, Zheng, Kai

    ISSN: 1389-1286, 1872-7069
    Published: Amsterdam Elsevier B.V 04.08.2021
    “…Modern mobile wireless networks have been demonstrated to be high-speed but lossy, while mobile applications have more strict requirements including reliability, low latency, goodput guarantee…”
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    Journal Article
  20. 20

    Exploring Approximate Communication Using Lossy Bitwise Compression on Interconnection Networks by Hu, Yao

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 01.01.2023
    Published in IEEE access (01.01.2023)
    “… Specifically, we focus on lossy compression of floating-point data, which is frequently exchanged between compute nodes in parallel applications…”
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    Journal Article