Suchergebnisse - decoding ((algorithm OR algorithmics) OR (algorithmics OR algorithmics))

  1. 1621

    Bayesian Optimization for Quantum Error-Correcting Code Discovery von Chengyu, Yihua, Meister, Richard, Carty, Conor, Lin, Sheng-Ku, Bondesan, Roberto

    Veröffentlicht 2026
    Inhaltsangabe: “… algorithm discovers a high-rate code [[144,36]] that achieves competitive per-qubit error rate compared …”
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  2. 1622

    Smaller is Better: Generative Models Can Power Short Video Preloading von Liu, Liming, Wu, Jiangkai, Zhang, Xinggong

    Veröffentlicht 2026
    Inhaltsangabe: “… chunks, PromptPream sends compact semantic prompts that are decoded into high quality frames using …”
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  3. 1623

    Learning Tangent Bundles and Characteristic Classes with Autoencoder Atlases von Paluzo-Hidalgo, Eduardo, Ike, Yuichi

    Veröffentlicht 2026
    Inhaltsangabe: “… a single global Euclidean embedding, we treat a collection of locally trained encoder-decoder pairs …”
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  4. 1624

    Beyond Hungarian: Match-Free Supervision for End-to-End Object Detection von Qiu, Shoumeng, Li, Xinrun, Long, Yang

    Veröffentlicht 2026
    Inhaltsangabe: “… object detection. However, the reliance on the Hungarian algorithm for bipartite matching between queries …”
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  5. 1625

    Decoding Ancient Oracle Bone Script via Generative Dictionary Retrieval von Wu, Yin, Zhang, Gangjian, Chen, Jiayu, Xu, Chang, Luo, Yuyu, Tang, Nan, Xiong, Hui

    Veröffentlicht 2026
    Inhaltsangabe: “… exemplifies this challenge: only approximately 1,500 of roughly 4,600 characters have been decoded, and a …”
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  6. 1626

    Too Correct to Learn: Reinforcement Learning on Saturated Reasoning Data von Liang, Zhenwen, Zhou, Yujun, Lu, Sidi, Zhang, Xiangliang, Mi, Haitao, Yu, Dong

    Veröffentlicht 2026
    Inhaltsangabe: “… . In such environments, the lack of failure cases causes the advantage signal in group-relative algorithms (e.g., GRPO …”
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  7. 1627

    Efficient Design of Fronthaul-Constrained Uplink Reception for Cell-Free XL-MIMO von Kim, Dogon, Noh, Hyunmin, Park, Seok-Hwan

    Veröffentlicht 2026
    Inhaltsangabe: “… signals transmitted by mobile user equipments (UEs) are jointly decoded at a central processing unit (CPU …”
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  8. 1628
  9. 1629

    Reconstruction of Personally Identifiable Information from Supervised Finetuned Models von Furukawa, Sae, Oprea, Alina

    Veröffentlicht 2026
    Inhaltsangabe: “… , a novel decoding algorithm to reconstruct PII under prefix-based attacks, consistently outperforming …”
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  10. 1630

    Leveraging Multi-Step Traffic Forecasts for Multi-Period Planning Optical Networks von Savva, Giannis, Maryam, Hafsa, Chebolu, Venkatesh, Panayiotou, Tania, Ellinas, Georgios

    Veröffentlicht 2026
    Inhaltsangabe: “… disruptions. For multi-step-ahead prediction, an encoder-decoder deep learning model is employed to analyze …”
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  11. 1631

    Machine Learning–Enhanced Fluorescence Cryptography with NADH ‐Responsive Polymer Dots von Zhengkun Zhan, Mingyue Gong, Zirui Zeng, Hangyu Liu, Xiaoliang Li, Zhuxin Dong, Xiaoju Men, Haobin Chen

    Veröffentlicht 2026
    Inhaltsangabe: “… by integrating machine learning algorithms, wherein encrypted messages are encoded via NADH‐triggered …”
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    Artículo Open Access
  12. 1632

    Machine learning prediction of flexural strength of high‐entropy carbides via feature‐engineered ensemble modeling von Cheng Fang, Wengang Zhang, Zhiyuan Sheng, Pian Wei, Jun Ma, Shun Dong

    Veröffentlicht 2025
    Inhaltsangabe: “… framework to decode composition–structure–property relationships. Six rigorously compared algorithms …”
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    Artículo Open Access
  13. 1633

    Randomness-Efficient Constructions of Capacity-Achieving List-Decodable Codes von Mosheiff, Jonathan, Resch, Nicolas, Shang, Kuo, Yuan, Chen

    Veröffentlicht 2024
    Inhaltsangabe: “… We wish to generate list-decodable codes over small alphabets using as little randomness …”
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  14. 1634

    In the realm of hybrid Brain: Human Brain and AI von Fares, Hoda, Ronchini, Margherita, Zamani, Milad, Farkhani, Hooman, Moradi, Farshad

    Veröffentlicht 2022
    Inhaltsangabe: “… signals and decode them. Also, a growing number of stimulation methods have emerged to modulate …”
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  15. 1635

    Public Transit Arrival Prediction: a Seq2Seq RNN Approach von Bhutani, Nancy, Pachal, Soumen, Achar, Avinash

    Veröffentlicht 2022
    Inhaltsangabe: “… ) at each step of the decoder (a feature classically unexplored in machine translation applications …”
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  16. 1636

    Geometry-Aware Attenuation Learning for Sparse-View CBCT Reconstruction von Liu, Zhentao, Fang, Yu, Li, Changjian, Wu, Han, Liu, Yuan, Shen, Dinggang, Cui, Zhiming

    Veröffentlicht 2023
    Inhaltsangabe: “… to reduce radiation doses. While recent advances, including deep learning and neural rendering algorithms …”
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  17. 1637

    Improving Efficiency of Diffusion Models via Multi-Stage Framework and Tailored Multi-Decoder Architectures von Zhang, Huijie, Lu, Yifu, Alkhouri, Ismail, Ravishankar, Saiprasad, Song, Dogyoon, Qu, Qing

    Veröffentlicht 2023
    Inhaltsangabe: “… involves segmenting the time interval into multiple stages where we employ custom multi-decoder U-net …”
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  18. 1638

    Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations von Guetschel, Pierre, Ahmadi, Sara, Tangermann, Michael

    Veröffentlicht 2024
    Inhaltsangabe: “… for BCI decoding, to provide a comprehensive analysis of the current state-of-the-art. Each article …”
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  19. 1639

    Multi-Task Decision-Making for Multi-User 360 Video Processing over Wireless Networks von Badnava, Babak, Chakareski, Jacob, Hashemi, Morteza

    Veröffentlicht 2024
    Inhaltsangabe: “… and offer computing assistance for decoding/rendering of video frames. However, this comes at the expense …”
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  20. 1640

    Semantic-CC: Boosting Remote Sensing Image Change Captioning via Foundational Knowledge and Semantic Guidance von Zhu, Yongshuo, Li, Lu, Chen, Keyan, Liu, Chenyang, Zhou, Fugen, Shi, Zhenwei

    Veröffentlicht 2024
    Inhaltsangabe: “… . Semantic-CC alleviates the dependency of high-generalization algorithms on extensive annotations …”
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