Effective Data Co-Reduction for Multimedia Similarity Search
Summary: Data Co-Reduction (DCR) uses co-clustering to jointly compress data and features for similarity search, with lossless distance bounds. Optimal co-reduction minimizes candidates, enabling lossless retrieval and beating prior methods on high-D data. (summarized by gpt-5-nano on Feb 09 2026)
Incoming Non-self Citations Over Time
No non-self incoming citations found for this paper in this database.
Authors
- 1. Zi Huang
- 2. Heng Tao Shen
- 3. Jiajun Liu
- 4. Xiaofang Zhou
Incoming Citations (Sorted by Pagerank)
Showing 1 of 1 citing papers.
| Rank | Citing Paper | Year | Venue | Pagerank |
|---|---|---|---|---|
| 3,510 | Inter-Media Hashing for Large-scale Retrieval from Heterogeneous Data Sources | 2013 | SIGMOD | 7.0258619e-05 |
Previous
Page 1 / 1
Next
Outgoing Citations (Sorted by Pagerank)
Showing 13 of 13 cited papers.
Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.
Previous
Page 1 / 1
Next