Výsledky vyhledávání - sparse binary code

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  1. 1

    Joint Discriminative Sparse Coding for Robust Hand-Based Multimodal Recognition Autor Li, Shuyi, Zhang, Bob

    ISSN: 1556-6013, 1556-6021
    Vydáno: New York IEEE 2021
    “… correlations among inter-modality. In this paper, we propose a simple yet effective supervised multimodal feature learning method, called joint discriminative sparse coding (JDSC…”
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    Journal Article
  2. 2

    Sparse projections for high-dimensional binary codes Autor Yan Xia, Kaiming He, Kohli, Pushmeet, Jian Sun

    ISSN: 1063-6919, 1063-6919
    Vydáno: IEEE 01.06.2015
    “…This paper addresses the problem of learning long binary codes from high-dimensional data…”
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    Konferenční příspěvek Journal Article
  3. 3

    A binary filter inspired from the PIC sparse grid technique – Illustration on the XTOR-K code Autor Nicolas, T., Dubois, V., Fang, Q., Lütjens, H.

    ISSN: 0010-4655, 1879-2944
    Vydáno: Elsevier B.V 01.06.2024
    Vydáno v Computer physics communications (01.06.2024)
    “…It is known [1,2] that the sparse grid method for Particle-In-Cell (PIC) solvers acts as a filter to reduce the PIC noise…”
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    Journal Article
  4. 4

    Representation and processing of structures with binary sparse distributed codes Autor Rachkovskij, D.A.

    ISSN: 1041-4347, 1558-2191
    Vydáno: New York IEEE 01.03.2001
    “… We provide a comparative description of sparse binary distributed representation developed in the framework of the associative-projective neural network architecture and the more well known…”
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    Journal Article
  5. 5

    Binary multi-view sparse subspace clustering Autor Zhao, Jianxi, Li, Yang

    ISSN: 0941-0643, 1433-3058
    Vydáno: London Springer London 01.10.2023
    Vydáno v Neural computing & applications (01.10.2023)
    “… Recently, hashing/binary code learning has attracted intensive attentions due to fast Hamming distance computation and much less storage requirement, but existing related research does not explore…”
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    Journal Article
  6. 6

    PN Codes Estimation of Binary Phase Shift Keying Signal Based on Sparse Recovery for Radar Jammer Autor Peng, Bo, Chen, Qile

    ISSN: 1424-8220, 1424-8220
    Vydáno: Switzerland MDPI AG 01.01.2023
    Vydáno v Sensors (Basel, Switzerland) (01.01.2023)
    “…) codes of the BPSK signal. To solve this problem, a two-step PN codes estimation method based on sparse recovery is introduced in this paper…”
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    Journal Article
  7. 7

    Low-density parity-check codes based on sparse binary sequences Autor HE Shan-bao, ZHAO Chun-ming, SHI Zhi-hua, JIANG Ming

    ISSN: 1000-436X
    Vydáno: Editorial Department of Journal on Communications 01.01.2005
    Vydáno v Tongxin Xuebao (01.01.2005)
    “…A novel and simple construction of regular LDPC codes was proposed, which used sparse binary sequences, through studying construction methods of LDPC codes…”
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    Journal Article
  8. 8

    Ultra-Sparse Non-Binary LDPC Codes for Probabilistic Amplitude Shaping Autor Steiner, Fabian, Liva, Gianluigi, Boecherer, Georg

    Vydáno: IEEE 01.12.2017
    “… Ultra-sparse low-density parity-check codes over F 64 and F 256 gain 0.6 dB in power efficiency over state-of-the-art binary LDPC codes at a spectral efficiency…”
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  9. 9

    Ultra-Sparse Binary LDPC Codes with CSK Signals for Increased Data Rates in Future GNSS Autor Chauvat, Remi, Pena, Axel Garcia, Anghileri, Marco, Floch, Jean-Jacques, Paonni, Matteo

    ISSN: 2325-5455
    Vydáno: IEEE 01.12.2018
    “… Hence, this article aims at proposing new binary low-density parity-check (LDPC) codes constructed for the CSK modulation in a bit-interleaved coded modulation (BICM) context…”
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  10. 10

    Analogical mapping and inference with binary spatter codes and sparse distributed memory Autor Emruli, Blerim, Gayler, Ross W., Sandin, Fredrik

    ISSN: 2161-4393
    Vydáno: IEEE 01.08.2013
    “… We study a novel VSA network for the analogical mapping of compositional structures, which integrates an associative memory known as sparse distributed memory (SDM…”
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  11. 11

    Low-density parity-check codes based on sparse binary sequences Autor HE Shan-bao, ZHAO Chun-ming, SHI Zhi-hua, JIANG Ming

    ISSN: 1000-436X
    Vydáno: Editorial Department of Journal on Communications 01.01.2005
    Vydáno v Tongxin Xuebao (01.01.2005)
    “…A novel and simple construction of regular LDPC codes was proposed, which used sparse binary sequences, through studying construction methods of LDPC codes…”
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    Journal Article
  12. 12

    Sparse Binary Matrices of LDPC Codes for Compressed Sensing Autor Weizhi Lu, Kpalma, K., Ronsin, J.

    ISBN: 1467307157, 9781467307154
    ISSN: 1068-0314
    Vydáno: IEEE 01.04.2012
    Vydáno v 2012 Data Compression Conference (01.04.2012)
    “…We present the sparse binary matrix defined by low-density parity-check (LDPC) codes as measurement matrix in compressed sensing…”
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  13. 13

    A Sparse Neural Network Decoder for Non-binary Polar Codes Autor Shu, Yaofeng, Zhao, Hui, Han, Changhao

    ISSN: 2166-9589
    Vydáno: IEEE 12.09.2022
    “…Compared with binary Polar codes, non-binary Polar codes exhibit better performance, which is suitable for short packet services of Internet of Things…”
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  14. 14

    Scaling exponent of sparse random linear codes over binary erasure channels Autor Mahdavifar, Hessam

    ISSN: 2157-8117
    Vydáno: IEEE 01.06.2017
    “…The problem of analyzing the finite-length scaling behavior of sparse random linear codes is considered…”
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  15. 15

    On-Chip Neural Data Compression Based On Compressed Sensing With Sparse Sensing Matrices Autor Zhao, Wenfeng, Sun, Biao, Wu, Tong, Yang, Zhi

    ISSN: 1932-4545, 1940-9990, 1940-9990
    Vydáno: United States IEEE 01.02.2018
    “… However, the state-of-the-art compressed sensing (CS) encoders leverage random but dense binary measurement matrices, which incur substantial implementation costs…”
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    Journal Article
  16. 16

    Improved impulse method to evaluate the low weight profile of sparse binary linear codes Autor Declercq, D., Fossorier, M.

    ISBN: 9781424422562, 1424422566
    ISSN: 2157-8095
    Vydáno: IEEE 01.07.2008
    “…In this paper, the impulse method to determine the low weight profile of sparse codes is improved based on efficient probabilistic approaches for reliability based decoding that are adapted to this problem…”
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  17. 17

    Ultra-Sparse Non-Binary LDPC Codes for Probabilistic Amplitude Shaping Autor Steiner, Fabian, Liva, Gianluigi, Böcherer, Georg

    ISSN: 2331-8422
    Vydáno: Ithaca Cornell University Library, arXiv.org 18.08.2017
    Vydáno v arXiv.org (18.08.2017)
    “… Ultra-sparse low-density parity-check codes over GF(64) and GF(256) gain 0.6 dB in power efficiency over state-of-the-art binary LDPC codes at a spectral efficiency…”
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  18. 18

    Capacity achieving linear codes with random binary sparse generating matrices over the Binary Symmetric Channel Autor Kakhaki, A. M., Abadi, H. K., Pad, P., Saeedi, H., Marvasti, F., Alishahi, K.

    ISBN: 9781467325806, 1467325805
    ISSN: 2157-8095
    Vydáno: IEEE 01.07.2012
    “…In this paper, we prove the existence of capacity achieving linear codes with random binary sparse generating matrices over the Binary Symmetric Channel (BSC…”
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  19. 19

    Reconstruction Guarantee Analysis of Basis Pursuit for Binary Measurement Matrices in Compressed Sensing Autor Liu, Xin-Ji, Xia, Shu-Tao, Fu, Fang-Wei

    ISSN: 0018-9448, 1557-9654
    Vydáno: New York IEEE 01.05.2017
    “… found that the linear programming (LP) decoding of LDPC codes is very similar to the LP reconstruction of compressed sensing, and they further showed that the sparse binary parity-check matrices of good LDPC codes can be used as provably…”
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    Journal Article
  20. 20

    Click Prediction for Web Image Reranking Using Multimodal Sparse Coding Autor Yu, Jun, Rui, Yong, Tao, Dacheng

    ISSN: 1057-7149, 1941-0042, 1941-0042
    Vydáno: New York, NY IEEE 01.05.2014
    Vydáno v IEEE transactions on image processing (01.05.2014)
    “…Image reranking is effective for improving the performance of a text-based image search. However, existing reranking algorithms are limited for two main…”
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    Journal Article