Joko, Sutopo (2018) Alternating Least Square Method for Decomposing Dance Golek Menak Tensor Data. In: International Conference on Computation in Science and Engineering, Medan.
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3. Alternating Least Square Method for Decomposing Dance Golek Menak Tensor Data.pdf Download (895kB) |
Abstract
Golek Menak Dance rhythms a body structure that is motion and geometric patterns that can be presented in the form of a vector, matrix and tensor. In this study the data obtained from the catcher dance Kinect sensor in the form of Bio Vision Format Hierarchy (BVH), which is a geometric data consisting of coordinate geometry (x, y, z), time as well as reinforcing the position of the body (skeleton). The motion data is compiled into a data tensor matrix decomposition process is then performed for a feature that can be obtained will be processed in motion classification. Alternating Least Square (ALS) methods are used in the data decomposition tensor. Keywords: Golek Menak Dance; Alternating Least Square; Decomposition; Tensor data.
| Item Type: | Conference or Workshop Item (Paper) |
|---|---|
| Subjects: | N Fine Arts > NX Arts in general |
| Divisions: | Fakultas Sains Dan Teknologi > Data Science |
| Depositing User: | ST., MT. Joko Sutopo |
| Date Deposited: | 04 Apr 2023 09:50 |
| Last Modified: | 04 Apr 2023 09:50 |
| URI: | http://eprints.uty.ac.id/id/eprint/12518 |
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