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...

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Main Authors: Vo, Ba-Ngu, Dam, N., Phung, D., Tran, Q., Vo, B.
Format: Journal Article
Published: Elsevier 2018
Online Access:http://purl.org/au-research/grants/arc/DP160104662
http://hdl.handle.net/20.500.11937/69503
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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
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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