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Scaling Manifold Ranking Based Image Retrieval

Summary: Graph-based manifold ranking for image retrieval; scalability limited by O(n^3) inverse-matrix computation. Mogul uses sparse matrices and upper-bound score estimation to skip work, achieving O(n) time and superior retrieval quality versus prior approximations. (summarized by gpt-5-nano on Feb 09 2026)

Paper ID
11148
Venue
VLDB
Year
2015
Pagerank
4.1905499e-05
Overall Rank
11,963 | 16.86%
DOI
-

Incoming Non-self Citations Over Time

No non-self incoming citations found for this paper in this database.

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,718 SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs 2015 VLDB 8.2356874e-05
10,946 Efficient Algorithm for K-Multiple-Means 2024 SIGMOD 4.1905499e-05
11,545 Fast Algorithm for Anchor Graph Hashing 2021 VLDB 4.1905499e-05
11,795 Scaling Locally Linear Embedding 2017 SIGMOD 4.1905499e-05
13,350 Fast Algorithm for the Lasso based L1-Graph Construction 2017 VLDB -
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Outgoing Citations (Sorted by Pagerank)

Showing 3 of 3 cited papers.

Citations counted here include only citations to other VLDB/SIGMOD/CIDR/PODS papers in this database.

Rank Cited Paper Year Venue Pagerank
675 Quality and Efficiency in High Dimensional Nearest Neighbor Search 2009 SIGMOD 0.00018304179
2,076 Efficient Ad-hoc Search for Personalized PageRank 2013 SIGMOD 9.6057342e-05
3,515 Inter-Media Hashing for Large-scale Retrieval from Heterogeneous Data Sources 2013 SIGMOD 7.0191008e-05
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