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dc.contributor.authorSekh, Arif Ahmed
dc.contributor.authorDogra, Debi Prasad
dc.contributor.authorKar, Samarjit
dc.contributor.authorRoy, Partha Pratim
dc.contributor.authorProsad, Dilip K.
dc.date.accessioned2021-05-12T07:58:15Z
dc.date.available2021-05-12T07:58:15Z
dc.date.issued2020-05-06
dc.description.abstractDiagrammatic reasoning (DR) problems are well known. However, solving DR problems represented in 4 × 1 Raven’s Progressive Matrix (RPM) form using computer vision and pattern recognition has not yet been tried. Emergence of deep learning techniques aided by advanced computing can be exploited to solve such DR problems. In this paper, we propose a new learning framework by combining LSTM and Convolutional LSTM to solve 4 × 1 DR problems. Initially, the elementary geometrical shapes in such problems are detected using a typical CNN-based detector. Next, relations of various shapes are analyzed and a high-level feature set is produced and processed in the LSTM framework. A new 4 × 1 DR dataset has been prepared and made available to the research community. We believe, it will be helpful in advancing this research further. We have compared our method with some of the existing frameworks that can be used for solving RPM-guided DR problems. We have recorded 18–20% increase in the average prediction accuracy as compared to the prior frameworks when applied to RPM-guided DR problems. We believe the CV research community will be interested to carry out similar research, particularly to investigate the feasibility of solving other types of known DR problems.en_US
dc.identifier.citationSekh AA, Dogra, Kar S, Roy PP, Prosad DK. Can We Automate Diagrammatic Reasoning?. Pattern Recognition. 2020en_US
dc.identifier.cristinIDFRIDAID 1849808
dc.identifier.doihttps://doi.org/10.1016/j.patcog.2020.107412
dc.identifier.issn0031-3203
dc.identifier.issn1873-5142
dc.identifier.urihttps://hdl.handle.net/10037/21174
dc.language.isoengen_US
dc.publisherElsevieren_US
dc.relation.journalPattern Recognition
dc.rights.accessRightsopenAccessen_US
dc.rights.holderCopyright 2020 The Author(s)en_US
dc.subjectVDP::Technology: 500en_US
dc.subjectVDP::Teknologi: 500en_US
dc.titleCan We Automate Diagrammatic Reasoning?en_US
dc.type.versionpublishedVersionen_US
dc.typeJournal articleen_US
dc.typeTidsskriftartikkelen_US
dc.typePeer revieweden_US


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