Showing 1 - 20 results of 5,320 for search '(( element method algorithm ) OR ((( data processing algorithm ) OR ( based case algorithm ))))', query time: 0.39s Refine Results
  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6

    Model-Based Clustering of Categorical Data Based on the Hamming Distance by Raffaele Argiento (647076)

    Published 2024
    “…The mixture is framed in a Bayesian nonparametric setting, and a transdimensional blocked Gibbs sampler is developed to provide full Bayesian inference on the number of clusters, their structure, and the group-specific parameters, facilitating the computation with respect to customary reversible jump algorithms. The proposed model encompasses a parsimonious latent class model as a special case when the number of components is fixed. …”
  7. 7
  8. 8
  9. 9

    The process of using the M.E.D.V.I.S. algorithm. by Hector Torres (11708207)

    Published 2025
    “…All are placed into three dimensionality reduction methods, which are then processed in a k-means clustering algorithm with k = 2 to represent good and bad figures. …”
  10. 10

    Data Sheet 1_Semantic composition of robotic solver algorithms on graph structures.pdf by Sven Schneider (1366548)

    Published 2025
    “…The envisaged algorithms are numerical solvers based on graph structures. …”
  11. 11

    Table 1_Intra- and inter-rater reliability in log volume estimation based on LiDAR data and shape reconstruction algorithms: a case study on poplar logs.docx by Gabriel Osei Forkuo (16752444)

    Published 2025
    “…Computer-based algorithms like Poisson interpolation and Random Sampling and Consensus (RANSAC) are commonly used to extract volume data from LiDAR point clouds, and comparative studies have tested these algorithms for accuracy. …”
  12. 12
  13. 13
  14. 14
  15. 15
  16. 16

    The run time for each algorithm in seconds. by Edward Antonian (21453161)

    Published 2025
    “…The goal of this paper is to examine several extensions to KGR/GPoG, with the aim of generalising them a wider variety of data scenarios. The first extension we consider is the case of graph signals that have only been partially recorded, meaning a subset of their elements is missing at observation time. …”
  17. 17
  18. 18
  19. 19
  20. 20