Search alternatives:
"effects matching algorithm" » "effects sampling algorithm" (Expand Search), "effects tracking algorithm" (Expand Search), "effects modeling algorithm" (Expand Search), "effects within algorithm" (Expand Search), "effects arising algorithm" (Expand Search)
"element mining algorithm" » "element learning algorithm" (Expand Search), "element means algorithm" (Expand Search), "element mapping algorithm" (Expand Search), "element bonding algorithm" (Expand Search), "element modeling algorithm" (Expand Search)
Showing 1 - 12 results of 12 for search '(("element mining algorithm") OR ("effects matching algorithm"))', query time: 0.20s Refine Results
  1. 1
    Overview of the 3D model retrieval process using our method.

    Overview of the 3D model retrieval process using our method. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  2. 2
    S1 Data -

    S1 Data - by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  3. 3
    Our pose-invariant feature sets for 3 horse models with different poses.

    Our pose-invariant feature sets for 3 horse models with different poses. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  4. 4
    The query results of sampling invariance testing.

    The query results of sampling invariance testing. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  5. 5
    The query results of scaling invariance testing.

    The query results of scaling invariance testing. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  6. 6
    Performance of our method, PointNet, and PointNet++ when the training dataset contains 60 3D models.

    Performance of our method, PointNet, and PointNet++ when the training dataset contains 60 3D models. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  7. 7
    The model dataset used to test our algorithm.

    The model dataset used to test our algorithm. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  8. 8
    Precision vs. recall curves of our method and 4 other methods on our testing dataset.

    Precision vs. recall curves of our method and 4 other methods on our testing dataset. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  9. 9
    Performance of our method, PointNet, and PointNet++ when the training dataset contains 30 3D models.

    Performance of our method, PointNet, and PointNet++ when the training dataset contains 30 3D models. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  10. 10
    The query results of pose invariance testing.

    The query results of pose invariance testing. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  11. 11
    The query results of robustness testing.

    The query results of robustness testing. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:
  12. 12
    An overview of our algorithm.

    An overview of our algorithm. by Hairong Jin (12250927)

    Published 2022
    Subjects:
    Save to List
    Saved in:

Search Tools: