AIMS: An Immersidata Management System
Summary: AIMS manages immersidata—multidimensional spatio‑temporal continuous noisy streams from immersive environments—for offline and online analytics (ADHD diagnosis, ASL recognition). Core idea: DB‑friendly linear algebra transforms plus optimized acquisition/storage to compactly abstract, index and classify immersidata. (summarized by gpt-5-mini on Feb 09 2026)
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No non-self incoming citations found for this paper in this database.
Authors
- 1. Cyrus Shahabi (University of Southern California)
BibTeX Citation
@inproceedings{shahabi_cidr03,
address = {Amsterdam, Netherlands},
series = {{CIDR} '03},
title = {{AIMS: An Immersidata Management System}},
booktitle = {Proceedings of the {Conference} on {Innovative} {Data} {Systems} {Research}},
author = {Shahabi, Cyrus},
year = {2003}
}
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 13,904 | AIDA: an Adaptive Immersive Data Analyzer | 2004 | VLDB | - |
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Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
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