Showing 1 - 16 results of 16 for search '((brewing methods) OR (pruning methods))', query time: 0.09s Refine Results
  1. 1
  2. 2

    Feature selection for classification applications in neural network pruning by Gong, Rui

    Published 2024
    “…Experiments results show that feature selection methods are useful for neural network pruning.…”
    Get full text
    Thesis-Master by Coursework
  3. 3

    Unsupervised generative variational continual learning by Liu, Guimeng

    Published 2023
    “…There are mainly three categories in this field: replay methods, regularization-based methods, and parameter isolation methods. …”
    Get full text
    Thesis-Master by Coursework
  4. 4

    Discovering thematic objects in image collections and videos by Katsaggelos, Aggelos K., Yuan, Junsong, Zhao, Gangqiang, Fu, Yun, Li, Zhu, Wu, Ying

    Published 2013
    “…Experiments on challenging image and video data sets and comparisons with existing methods validate the effectiveness of our method.…”
    Get full text
    Get full text
    Journal Article
  5. 5

    Accurate and Fast Approximate Graph Mining at Scale by Arpaci-Dusseau, Anna

    Published 2024
    “…Second, we propose two techniques to deal with the “needle-in-the-hay” problem, eager-verify and hybrid sampling. Our eager-verify method drastically improves sampling hit rate by pruning unpromising candidates as early as possible. …”
    Get full text
    Thesis
  6. 6

    Embedded computing techniques for remote mobile video surveillance systems by Nirmala Ramakrishnan

    Published 2017
    “…Next, a low-complexity GME method (called sparse-GME) is proposed by employing a minimum number of well-distributed sparse corner features. …”
    Get full text
    Thesis
  7. 7

    Red Alarm for Pre-trained Models: Universal Vulnerability to Neuron-level Backdoor Attacks by Zhang, Zhengyan, Xiao, Guangxuan, Li, Yongwei, Lv, Tian, Qi, Fanchao, Liu, Zhiyuan, Wang, Yasheng, Jiang, Xin, Sun, Maosong

    Published 2024
    “…Finally, we apply several defense methods to NeuBA and find that model pruning is a promising technique to resist NeuBA by omitting backdoored neurons.…”
    Get full text
    Article
  8. 8

    Refining learning models in grammatical inference by Wang, Xiangrui

    Published 2008
    “…We introduce the use of recurrent neural networks (RNNs) and present a pruning learning method to avoid the exponential space costs. …”
    Get full text
    Thesis
  9. 9

    0-1 Knapsack in Nearly Quadratic Time by Jin, Ce

    Published 2024
    “…To extend this approach to our 0-1 setting, we use a novel pruning method, as well as the two-level color-coding of Bringmann (2017) and the SMAWK algorithm on tall matrices.…”
    Get full text
    Article
  10. 10

    Efficient techniques for subgraph mining and query processing by Lin, Wenqing

    Published 2015
    “…Based on our analysis, we develop a GPU-based solution that (i) drastically differs from existing CPU-based methods, and (ii) exploits the strengths of GPUs in terms of parallelism while mitigating their limitations in terms of the computation power per GPU core. …”
    Get full text
    Thesis
  11. 11

    Efficient algorithms for subgraph counting and enumeration on large graphs by Wang, Kaixin

    Published 2024
    “…This hybrid strategy enables more efficient pruning of sub-branches, resulting in a worst-case time complexity of O(m\delta + m\tau 3^(\tau/3)), where \tau is related to the maximum truss number. …”
    Get full text
    Thesis-Doctor of Philosophy
  12. 12

    Learning class-specific edges for object detection and segmentation by Prasad, M, Zisserman, A, Fitzgibbon, A, Kumar, MP, Torr, PHS

    Published 2006
    “…This classifier may then be used to prune edges which are not relevant to the object class, and thereby improve the performance of subsequent processing. …”
    Conference item
  13. 13
  14. 14

    Towards ILP-based LTLf passive learning by Ielo, A, Law, M, Fionda, V, Ricca, F, De Giacomo, G, De Giacomo, G, Russo, A

    Published 2023
    “…They use an example at the time to discard a single candidate formula at the time, instead of exploiting the full set of examples to prune the search space. This hinders their applicability when examples involve many atomic propositions or when the target formula is not small. …”
    Conference item
  15. 15

    Progressive search space reduction for human pose estimation by Ferrari, V, Marin-Jimenez, M, Zisserman, A

    Published 2008
    “…The method is fully automatic and self-initializing, and explains the spatio-temporal volume covered by a person moving in a shot, by soft-labeling every pixel as belonging to a particular body part or to the background. …”
    Conference item
  16. 16

    Effects of soil management practices on soil fauna feeding activity in an Indonesian oil palm plantation by Tao, H-H, Slade, E, Willis, KJ, Caliman, J-P, Snaddon, JL

    Published 2015
    “…To address this knowledge gap, we used the bait lamina method to investigate the effects of different soil management practices on soil fauna feeding activity, and whether feeding activity was associated with management-mediated changes in soil chemical properties, in a 15-year-old oil palm plantation. …”
    Journal article