Suchergebnisse - parameterized (source OR resource) code patterns

  1. 1

    ComRoPE: Scalable and Robust Rotary Position Embedding Parameterized by Trainable Commuting Angle Matrices von Yu, Hao, Jiang, Tangyu, Jia, Shuning, Yan, Shannan, Liu, Shunning, Qian, Haolong, Li, Guanghao, Dong, Shuting, Yuan, Chun

    ISSN: 1063-6919
    Veröffentlicht: IEEE 10.06.2025
    “… The Transformer architecture has revolutionized various fields since it was proposed, where positional encoding plays an essential role in effectively …”
    Volltext
    Tagungsbericht
  2. 2

    On-line construction of parameterized suffix trees for large alphabets von Lee, Taehyung, Na, Joong Chae, Park, Kunsoo

    ISSN: 0020-0190, 1872-6119
    Veröffentlicht: Amsterdam Elsevier B.V 01.02.2011
    Veröffentlicht in Information processing letters (01.02.2011)
    “… This situation often arises from source code management systems where, for example, a source code repository is gradually increasing in its size as users commit new codes into the repository day by day …”
    Volltext
    Journal Article
  3. 3

    Source code modification technology based on parameterized code patterns von Itsykson, V, Timofeyev, D

    ISBN: 9781457706059, 1457706059
    Veröffentlicht: IEEE 01.10.2010
    “… Source code modification is one of the most frequent operations which developers perform in software life cycle …”
    Volltext
    Tagungsbericht
  4. 4

    A prefix array for parameterized strings von Beal, Richard, Adjeroh, Donald A., Smyth, W.F.

    ISSN: 1570-8667, 1570-8675
    Veröffentlicht: Elsevier B.V 01.01.2017
    “… Historically, p-strings have been leveraged for source code cloning, plagiarism detection, and biological sequence structural similarity …”
    Volltext
    Journal Article
  5. 5

    Constructing Stronger and Faster Baselines for Skeleton-Based Action Recognition von Song, Yi-Fan, Zhang, Zhang, Shan, Caifeng, Wang, Liang

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Veröffentlicht: United States IEEE 01.02.2023
    “… However, the complexity of the recent State-Of-The-Art (SOTA) models for this task tends to be exceedingly sophisticated and over-parameterized …”
    Volltext
    Journal Article
  6. 6

    Deblur-NeRF: Neural Radiance Fields from Blurry Images von Ma, Li, Li, Xiaoyu, Liao, Jing, Zhang, Qi, Wang, Xuan, Wang, Jue, Sander, Pedro V.

    ISSN: 1063-6919
    Veröffentlicht: IEEE 01.06.2022
    “… Neural Radiance Field (NeRF) has gained considerable attention recently for 3D scene reconstruction and novel view synthesis due to its remarkable synthesis …”
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    Tagungsbericht
  7. 7

    Deep Hough Transform for Semantic Line Detection von Zhao, Kai, Han, Qi, Zhang, Chang-Bin, Xu, Jun, Cheng, Ming-Ming

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Veröffentlicht: United States IEEE 01.09.2022
    “… Lines enjoy much simpler geometric property than complex objects and thus can be compactly parameterized by a few arguments …”
    Volltext
    Journal Article
  8. 8

    Network pruning via resource reallocation von Hou, Yuenan, Ma, Zheng, Liu, Chunxiao, Wang, Zhe, Loy, Chen Change

    ISSN: 0031-3203, 1873-5142
    Veröffentlicht: Elsevier Ltd 01.01.2024
    Veröffentlicht in Pattern recognition (01.01.2024)
    “… Contemporary methods typically perform iterative pruning procedure from the original over-parameterized model, which is both tedious and expensive especially when the pruning is aggressive …”
    Volltext
    Journal Article
  9. 9

    Position-Guided Point Cloud Panoptic Segmentation Transformer von Xiao, Zeqi, Zhang, Wenwei, Wang, Tai, Loy, Chen Change, Lin, Dahua, Pang, Jiangmiao

    ISSN: 0920-5691, 1573-1405
    Veröffentlicht: New York Springer US 01.01.2025
    Veröffentlicht in International journal of computer vision (01.01.2025)
    “… DEtection TRansformer (DETR) started a trend that uses a group of learnable queries for unified visual perception. This work begins by applying this appealing …”
    Volltext
    Journal Article
  10. 10

    Dense Continuous-Time Optical Flow From Event Cameras von Gehrig, Mathias, Muglikar, Manasi, Scaramuzza, Davide

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Veröffentlicht: United States IEEE 01.07.2024
    “… We leverage these benefits to predict pixel trajectories densely in continuous time via parameterized Bézier curves …”
    Volltext
    Journal Article
  11. 11

    MLR-SNet: Transferable LR Schedules for Heterogeneous Tasks von Shu, Jun, Zhu, Yanwen, Zhao, Qian, Meng, Deyu, Xu, Zongben

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Veröffentlicht: United States IEEE 01.03.2023
    “… . The learnable parameterized structure brings more flexibility for MLR-SNet to learn a proper …”
    Volltext
    Journal Article
  12. 12

    Dynamic Focus-aware Positional Queries for Semantic Segmentation von He, Haoyu, Cai, Jianfei, Pan, Zizheng, Liu, Jing, Zhang, Jing, Tao, Dacheng, Zhuang, Bohan

    ISSN: 1063-6919
    Veröffentlicht: IEEE 01.06.2023
    “… Although promising, it relies on the learnable parameterized positional queries which tend to encode the dataset statistics, leading to inaccurate localization for distinct individual queries …”
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    Tagungsbericht
  13. 13

    Parameterized Strings: Algorithms and Applications von Beal, Richard

    ISBN: 9781321728736, 1321728735
    Veröffentlicht: ProQuest Dissertations & Theses 01.01.2015
    “… Historically, p-strings have been employed in source code cloning, plagiarism detection, and structural similarity between biological sequences …”
    Volltext
    Dissertation
  14. 14

    FMW-Net: a first-order meta-weight-net approach for sample weighting von Zhou, Yubo, Shu, Jun, Liu, Junmin, Meng, Deyu

    ISSN: 1868-8071, 1868-808X
    Veröffentlicht: Berlin/Heidelberg Springer Berlin Heidelberg 01.10.2025
    “… Recently, Meta-Weight-Net (MW-Net) method has been proposed to automatically learn the weighting function parameterized by a Multi-Layer Perceptron (MLP …”
    Volltext
    Journal Article
  15. 15

    Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization von Qiao, Siyuan, Lin, Zhe, Zhang, Jianming, Yuille, Alan L.

    ISSN: 1063-6919
    Veröffentlicht: IEEE 01.06.2019
    “… Deep neural networks are usually over-parameterized for their tasks in order to achieve good performances, thus are likely to have underutilized computational resources …”
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    Tagungsbericht
  16. 16

    Calibration of a groundwater model using pattern information from remote sensing data von Li, H.T., Brunner, P., Kinzelbach, W., Li, W.P., Dong, X.G.

    ISSN: 0022-1694, 1879-2707
    Veröffentlicht: Kidlington Elsevier B.V 20.10.2009
    Veröffentlicht in Journal of hydrology (Amsterdam) (20.10.2009)
    “… Due to the chronic lack of verification data, hydrologic models are notoriously over-parameterized …”
    Volltext
    Journal Article
  17. 17

    A Unified Knowledge Distillation Framework for Deep Directed Graphical Models von Chen, Yizhuo, Liang, Kaizhao, Zeng, Zhe, Yao, Shuochao, Shao, Huajie

    ISSN: 1063-6919
    Veröffentlicht: IEEE 01.06.2023
    “… ) with arbitrary layers of random variables. We refer by deep DGMs to DGMs whose conditional distributions are parameterized by deep neural networks …”
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    Tagungsbericht
  18. 18

    Wildland fire mid-story: A generative modeling approach for representative fuels von Hutchings, Grant, Gattiker, James, Scherting, Braden, Linn, Rodman R.

    ISSN: 1364-8152, 1873-6726
    Veröffentlicht: United Kingdom Elsevier Ltd 01.01.2024
    “… Computational models for understanding and predicting fire in wildland and managed lands are increasing in impact. Data characterizing the fuels and …”
    Volltext
    Journal Article
  19. 19

    Generating Portable High-Performance Code via Multi-Dimensional Homomorphisms von Rasch, Ari, Schulze, Richard, Gorlatch, Sergei

    ISSN: 2641-7936
    Veröffentlicht: IEEE 01.09.2019
    “… , the same source code achieves a consistent, high level of performance over the variety of modern parallel processors, including multi-core CPU and many-core Graphics Processing Unit (GPU …”
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    Tagungsbericht
  20. 20

    Hardware-aware Coding Function Design for Compressive Single-photon 3D Cameras von Parra, David, Gutierrez-Barragan, Felipe, Seets, Trevor, Velten, Andreas

    ISSN: 0162-8828, 1939-3539, 2160-9292, 1939-3539
    Veröffentlicht: United States IEEE 14.08.2025
    “… However, their performance is susceptible to hardware limitations, such as system bandwidth, maximum laser power, sensor data rates, and in-sensor memory and compute resources …”
    Volltext
    Journal Article