The final publication is available via <a href="https://doi.org/10.1007/978-3-319-48758-8_15" target="_blank">https://doi.org/10.1007/978-3-319-48758-8_15</a>.
-
dc.description.abstract
We consider the problem of classifying visual objects in a scene by exploiting the semantic context. For this task, we define hybrid classifiers (HC) that combine local classifiers with context constraints, and can be applied to collective classification problems (CCPs) in general. Context constraints are represented by weighted ASP constraints using object relations. To integrate probabilistic information provided by the classifier and the context, we embed our encoding in the formalism LP^MLN, and show that an optimal labeling can be efficiently obtained from the corresponding LP^MLN program by employing an ordinary ASP solver. Moreover, we describe a methodology for constructing an HC for a CCP, and present experimental results of applying an HC for object classification in indoor and outdoor scenes, which exhibit significant improvements in terms of accuracy compared to using only a local classifier.
en
dc.description.sponsorship
Austrian Science Funds (FWF)
-
dc.language
English
-
dc.language.iso
en
-
dc.publisher
15th European Conference, JELIA 2016
-
dc.relation.ispartofseries
Lecture Notes in Computer Science
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
Knowledge Representation
en
dc.subject
Answer Set Programming
en
dc.subject
Machine Learning
en
dc.subject
Constraints
en
dc.title
Exploiting Contextual Knowledge for Hybrid Classification of Visual Objects
en
dc.type
Inproceedings
en
dc.type
Konferenzbeitrag
de
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.relation.publication
Logics in Artificial Intelligence - 15th European Conference, JELIA 2016, Larnaca, Cyprus, November 9-11, 2016, Proceedings ; Michael, Loizos; Kakas, Antonis C.
-
dc.relation.grantno
P27730
-
dc.relation.grantno
W1255-N23
-
dc.rights.holder
Springer International Publishing AG 2016
-
dc.type.category
Full-Paper Contribution
-
tuw.container.volume
10021
-
tuw.relation.publisherplace
Larnaca, Cyprus
-
tuw.version
am
-
tuw.publication.orgunit
E192 - Institut für Informationssysteme
-
tuw.publisher.doi
10.1007/978-3-319-48758-8_15
-
dc.identifier.libraryid
AC11362512
-
dc.identifier.urn
urn:nbn:at:at-ubtuw:3-3056
-
tuw.author.orcid
0000-0001-9776-0417
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.cerifentitytype
Publications
-
item.fulltext
with Fulltext
-
item.languageiso639-1
en
-
item.openairetype
conference paper
-
item.openaccessfulltext
Open Access
-
item.grantfulltext
open
-
crisitem.author.dept
E192 - Institut für Logic and Computation
-
crisitem.author.dept
E192-03 - Forschungsbereich Knowledge Based Systems