MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings
Summary
MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings is a scholarly article[1].
Key Facts
MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings's instance of is recorded as scholarly article[2].
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). MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings. Retrieved May 24, 2026, from https://4ort.xyz/entity/marc-a-robust-method-for-multiple-aspect-trajectory-classification-via-space-time-and-semantic-embeddings
MLA“MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings.” 4ort.xyz Knowledge Graph, 4ort.xyz, 24 May. 2026, https://4ort.xyz/entity/marc-a-robust-method-for-multiple-aspect-trajectory-classification-via-space-time-and-semantic-embeddings.
BibTeX@misc{4ortxyz_marc-a-robust-method-for-multiple-aspect-trajectory-classification-via-space-time-and-semantic-embeddings_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings}}, year = {2026}, url = {https://4ort.xyz/entity/marc-a-robust-method-for-multiple-aspect-trajectory-classification-via-space-time-and-semantic-embeddings}, note = {Accessed: 2026-05-24}}
LLM promptAccording to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): MARC: a robust method for multiple-aspect trajectory classification via space, time, and semantic embeddings — https://4ort.xyz/entity/marc-a-robust-method-for-multiple-aspect-trajectory-classification-via-space-time-and-semantic-embeddings (retrieved 2026-05-24)