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Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification
Research article (Computer Vision and Image Understanding, 2020) · cited 11× · AI/ML
Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification
Summary
Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification is a scholarly article[1].
Key Facts
Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification's instance of is recorded as scholarly article[2].
References
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Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.
APA4ort.xyz Knowledge Graph. (2026). Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification. Retrieved May 24, 2026, from https://4ort.xyz/entity/rotation-invariant-features-based-on-three-dimensional-gaussian-markov-random-fields-for-volumetric-texture-classificati
MLA“Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/rotation-invariant-features-based-on-three-dimensional-gaussian-markov-random-fields-for-volumetric-texture-classificati.
BibTeX@misc{4ortxyz_rotation-invariant-features-based-on-three-dimensional-gaussian-markov-random-fields-for-volumetric-texture-classificati_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification}}, year = {2026}, url = {https://4ort.xyz/entity/rotation-invariant-features-based-on-three-dimensional-gaussian-markov-random-fields-for-volumetric-texture-classificati}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Rotation invariant features based on three dimensional Gaussian Markov random fields for volumetric texture classification — https://4ort.xyz/entity/rotation-invariant-features-based-on-three-dimensional-gaussian-markov-random-fields-for-volumetric-texture-classificati (retrieved 2026-05-24)
