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). Spatio-contextual Gaussian mixture model for local change detection in underwater video. Retrieved May 24, 2026, from https://4ort.xyz/entity/spatio-contextual-gaussian-mixture-model-for-local-change-detection-in-underwater-video
MLA“Spatio-contextual Gaussian mixture model for local change detection in underwater video.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/spatio-contextual-gaussian-mixture-model-for-local-change-detection-in-underwater-video.
BibTeX@misc{4ortxyz_spatio-contextual-gaussian-mixture-model-for-local-change-detection-in-underwater-video_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Spatio-contextual Gaussian mixture model for local change detection in underwater video}}, year = {2026}, url = {https://4ort.xyz/entity/spatio-contextual-gaussian-mixture-model-for-local-change-detection-in-underwater-video}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Spatio-contextual Gaussian mixture model for local change detection in underwater video — https://4ort.xyz/entity/spatio-contextual-gaussian-mixture-model-for-local-change-detection-in-underwater-video (retrieved 2026-05-24)
