Model-based learning for point pattern data
This article proposes a framework for model-based point pattern learning using point process theory. Likelihood functions for point pattern data derived from point process theory enable principled yet conceptually transparent extensions of learning tasks, such as classification, novelty detection an...
| Main Authors: | , , , , |
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| Format: | Journal Article |
| Published: |
Elsevier
2018
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| Online Access: | http://purl.org/au-research/grants/arc/DP160104662 http://hdl.handle.net/20.500.11937/69503 |
| _version_ | 1848762058845192192 |
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| author | Vo, Ba-Ngu Dam, N. Phung, D. Tran, Q. Vo, B. |
| author_facet | Vo, Ba-Ngu Dam, N. Phung, D. Tran, Q. Vo, B. |
| author_sort | Vo, Ba-Ngu |
| building | Curtin Institutional Repository |
| collection | Online Access |
| description | This article proposes a framework for model-based point pattern learning using point process theory. Likelihood functions for point pattern data derived from point process theory enable principled yet conceptually transparent extensions of learning tasks, such as classification, novelty detection and clustering, to point pattern data. Furthermore, tractable point pattern models as well as solutions for learning and decision making from point pattern data are developed. |
| first_indexed | 2025-11-14T10:41:32Z |
| format | Journal Article |
| id | curtin-20.500.11937-69503 |
| institution | Curtin University Malaysia |
| institution_category | Local University |
| last_indexed | 2025-11-14T10:41:32Z |
| publishDate | 2018 |
| publisher | Elsevier |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | curtin-20.500.11937-695032022-10-27T06:23:48Z Model-based learning for point pattern data Vo, Ba-Ngu Dam, N. Phung, D. Tran, Q. Vo, B. This article proposes a framework for model-based point pattern learning using point process theory. Likelihood functions for point pattern data derived from point process theory enable principled yet conceptually transparent extensions of learning tasks, such as classification, novelty detection and clustering, to point pattern data. Furthermore, tractable point pattern models as well as solutions for learning and decision making from point pattern data are developed. 2018 Journal Article http://hdl.handle.net/20.500.11937/69503 10.1016/j.patcog.2018.07.008 http://purl.org/au-research/grants/arc/DP160104662 http://creativecommons.org/licenses/by/4.0/ Elsevier fulltext |
| spellingShingle | Vo, Ba-Ngu Dam, N. Phung, D. Tran, Q. Vo, B. Model-based learning for point pattern data |
| title | Model-based learning for point pattern data |
| title_full | Model-based learning for point pattern data |
| title_fullStr | Model-based learning for point pattern data |
| title_full_unstemmed | Model-based learning for point pattern data |
| title_short | Model-based learning for point pattern data |
| title_sort | model-based learning for point pattern data |
| url | http://purl.org/au-research/grants/arc/DP160104662 http://hdl.handle.net/20.500.11937/69503 |