Parameter selection for nonnegative l1 matrix/tensor sparse decomposition
For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters and extends the corresponding result on Lasso...
| Main Authors: | , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2015
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| Subjects: | |
| Online Access: | http://hdl.handle.net/20.500.11937/38485 |
| _version_ | 1848755333346885632 |
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| author | Wang, Y. Liu, Wan-Quan Caccetta, Louis Zhou, Guanglu |
| author_facet | Wang, Y. Liu, Wan-Quan Caccetta, Louis Zhou, Guanglu |
| author_sort | Wang, Y. |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters and extends the corresponding result on Lasso optimization problem. |
| first_indexed | 2025-11-14T08:54:38Z |
| format | Journal Article |
| id | curtin-20.500.11937-38485 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T08:54:38Z |
| publishDate | 2015 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-384852017-09-13T15:58:41Z Parameter selection for nonnegative l1 matrix/tensor sparse decomposition Wang, Y. Liu, Wan-Quan Caccetta, Louis Zhou, Guanglu Threshold bound Global optimal solution Zero solution Regularization parameter Sparse decomposition For the nonnegative l1 matrix/tensor sparse decomposition problem, we derive a threshold bound for the parameters beyond which all the decomposition factors are zero. The obtained result provides a guideline on selection for l1 regularization parameters and extends the corresponding result on Lasso optimization problem. 2015 Journal Article http://hdl.handle.net/20.500.11937/38485 10.1016/j.orl.2015.06.005 Elsevier restricted |
| spellingShingle | Threshold bound Global optimal solution Zero solution Regularization parameter Sparse decomposition Wang, Y. Liu, Wan-Quan Caccetta, Louis Zhou, Guanglu Parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| title | Parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| title_full | Parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| title_fullStr | Parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| title_full_unstemmed | Parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| title_short | Parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| title_sort | parameter selection for nonnegative l1 matrix/tensor sparse decomposition |
| topic | Threshold bound Global optimal solution Zero solution Regularization parameter Sparse decomposition |
| url | http://hdl.handle.net/20.500.11937/38485 |