Search Results - decoding (algorithmics OR (algorithm OR (algorithm OR algorithm)))

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  1. 1341

    Tele-Aloha: A Low-budget and High-authenticity Telepresence System Using Sparse RGB Cameras by Tu, Hanzhang, Shao, Ruizhi, Dong, Xue, Zheng, Shunyuan, Zhang, Hao, Chen, Lili, Wang, Meili, Li, Wenyu, Ma, Siyan, Zhang, Shengping, Zhou, Boyao, Liu, Yebin

    Published 2024
    Table of Contents: “… communication. As the core of Tele-Aloha, we propose an efficient novel view synthesis algorithm for upper-body…”
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  2. 1342

    Fair Computation Offloading for RSMA-Assisted Mobile Edge Computing Networks by Xu, Ding, Duan, Lingjie, Zhao, Haitao, Zhu, Hongbo

    Published 2024
    Table of Contents: “… develop an efficient algorithm to obtain a suboptimal solution. Particularly, the time allocation…”
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  3. 1343

    Knowledge Fusion By Evolving Weights of Language Models by Du, Guodong, Li, Jing, Liu, Hanting, Jiang, Runhua, Yu, Shuyang, Guo, Yifei, Goh, Sim Kuan, Tang, Ho-Kin

    Published 2024
    Table of Contents: “… by evolutionary algorithms, which does not need further training or additional training data. Specifically, our…”
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  4. 1344

    Efficiently improving key weather variables forecasting by performing the guided iterative prediction in latent space by Li, Shuangliang, Li, Siwei

    Published 2024
    Table of Contents: “… large number of weather variables. Therefore, we propose an 'encoding-prediction-decoding' prediction…”
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  5. 1345

    Multi-User SR-LDPC Codes by Ebert, Jamison R., Chamberland, Jean-Francois, Narayanan, Krishna R.

    Published 2024
    Table of Contents: “… the sent information, the decoder jointly processes the received signals using a low-complexity and highly…”
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  6. 1346

    RIS-Aided Unsourced Multiple Access (RISUMA): Coding Strategy and Performance Limits by Ahmadi, Mohammad Javad, Kazemi, Mohammad, Duman, Tolga M.

    Published 2024
    Table of Contents: “… and a randomly spread polar codeword. The proposed decoder operates in two phases. In the first phase…”
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  7. 1347

    FastFixer: An Efficient and Effective Approach for Repairing Programming Assignments by Liu, Fang, Liu, Zhenwei, Zhao, Qianhui, Jiang, Jing, Zhang, Li, Li, Ge, Sun, Zian, Li, Zhongqi, Ma, Yuchi

    Published 2024
    Table of Contents: “… remarkable inference speedup of 16.67 times compared to the autoregressive decoding algorithm. …”
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  8. 1348

    Channel Reflection: Knowledge-Driven Data Augmentation for EEG-Based Brain-Computer Interfaces by Wang, Ziwei, Li, Siyang, Luo, Jingwei, Liu, Jiajing, Wu, Dongrui

    Published 2024
    Table of Contents: “…) using different decoding algorithms demonstrated that: 1) CR is effective, i.e., it can noticeably…”
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  9. 1349

    URoadNet: Dual Sparse Attentive U-Net for Multiscale Road Network Extraction by Song, Jie, Sun, Yue, Cai, Ziyun, Xiao, Liang, Huang, Yawen, Zheng, Yefeng

    Published 2024
    Table of Contents: “…The challenges of road network segmentation demand an algorithm capable of adapting to the sparse…”
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  10. 1350

    Deep Learning in Wireless Communication Receiver: A Survey by Doha, Shadman Rahman, Abdelhadi, Ahmed

    Published 2025
    Table of Contents: “… receivers depend on mathematical models and algorithms, which do not have the ability to adapt or learn from…”
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  11. 1351
  12. 1352

    Leveraging Small LLMs for Argument Mining in Education: Argument Component Identification, Classification, and Assessment by Favero, Lucile, Pérez-Ortiz, Juan Antonio, Käser, Tanja, Oliver, Nuria

    Published 2025
    Table of Contents: “…Argument mining algorithms analyze the argumentative structure of essays, making them a valuable…”
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  13. 1353

    STAR-RIS-aided NOMA for Secured xURLLC by Lulu, Song, Di, Zhang, Shaobo, Jia, Pengcheng, Zhu, Yonghui, Li

    Published 2025
    Table of Contents: “…), which provides additional degree of freedom to enable a secure and fair decoding order and achieve a…”
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  14. 1354

    SigChord: Sniffing Wide Non-sparse Multiband Signals for Terrestrial and Non-terrestrial Wireless Networks by Peng, Jinbo, Duan, Junwen, Lin, Zheng, Yuan, Haoxuan, Gao, Yue, Chen, Zhe

    Published 2025
    Table of Contents: “… on low-cost and sub-Nyquist sampling radios. We first design a deep and rule-based interleaving algorithm…”
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  15. 1355

    SpecEE: Accelerating Large Language Model Inference with Speculative Early Exiting by Xu, Jiaming, Pan, Jiayi, Zhou, Yongkang, Chen, Siming, Li, Jinhao, Lian, Yaoxiu, Wu, Junyi, Dai, Guohao

    Published 2025
    Table of Contents: “… SpecEE, a fast LLM inference engine with speculative early exiting. (1) At the algorithm level, we…”
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  16. 1356

    LMDepth: Lightweight Mamba-based Monocular Depth Estimation for Real-World Deployment by Long, Jiahuan, Zhou, Xin

    Published 2025
    Table of Contents: “…, existing depth estimation algorithms often struggle to effectively balance performance and computational…”
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  17. 1357

    Antenna Activation and Resource Allocation in Multi-Waveguide Pinching-Antenna Systems by Wang, Kaidi, Ding, Zhiguo, Karagiannidis, George K.

    Published 2025
    Table of Contents: “…-theoretic algorithm is developed, in which the optimal decoding order is derived and incorporated. For power…”
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  18. 1358

    One Trigger Token Is Enough: A Defense Strategy for Balancing Safety and Usability in Large Language Models by Gu, Haoran, Wang, Handing, Mei, Yi, Zhang, Mengjie, Jin, Yaochu

    Published 2025
    Table of Contents: “… simple yet effective defense algorithm that identifies and explicitly decodes safety trigger tokens…”
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  19. 1359

    Semi-Clairvoyant Scheduling of Speculative Decoding Requests to Minimize LLM Inference Latency by Li, Ruixiao, Chen, Fahao, Li, Peng

    Published 2025
    Table of Contents: “…Speculative decoding accelerates Large Language Model (LLM) inference by employing a small…”
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  20. 1360

    An Exploratory Framework for Future SETI Applications: Detecting Generative Reactivity via Language Models by Yu, Po-Chieh

    Published 2025
    Table of Contents: “… responses in language models. Instead of assuming that extraterrestrial signals must be decoded, we evaluate…”
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