Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs

Research article (IEEE Transactions on Image Processing, 2016) · cited 34× · AI/ML
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Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs

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Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs is a scholarly article[1].

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APA 4ort.xyz Knowledge Graph. (2026). Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs. Retrieved May 24, 2026, from https://4ort.xyz/entity/ontology-based-semantic-image-segmentation-using-mixture-models-and-multiple-crfs
MLA “Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/ontology-based-semantic-image-segmentation-using-mixture-models-and-multiple-crfs.
BibTeX @misc{4ortxyz_ontology-based-semantic-image-segmentation-using-mixture-models-and-multiple-crfs_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs}}, year = {2026}, url = {https://4ort.xyz/entity/ontology-based-semantic-image-segmentation-using-mixture-models-and-multiple-crfs}, note = {Accessed: 2026-05-24}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Ontology-Based Semantic Image Segmentation Using Mixture Models and Multiple CRFs — https://4ort.xyz/entity/ontology-based-semantic-image-segmentation-using-mixture-models-and-multiple-crfs (retrieved 2026-05-24)

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