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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
11147
Venue
VLDB
Year
2015
Pagerank
4.1945683e-05
Overall Rank
11,955 | 16.84%
DOI
-

Incoming Non-self Citations Over Time

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Incoming Citations (Sorted by Pagerank)

Showing 5 of 5 citing papers.

Rank Citing Paper Year Venue Pagerank
2,898 SCAN++: Efficient Algorithm for Finding Clusters, Hubs and Outliers on Large-scale Graphs 2015 VLDB 7.9445129e-05
10,943 Efficient Algorithm for K-Multiple-Means 2024 SIGMOD 4.1945683e-05
11,541 Fast Algorithm for Anchor Graph Hashing 2021 VLDB 4.1945683e-05
11,787 Scaling Locally Linear Embedding 2017 SIGMOD 4.1945683e-05
13,337 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
682 Quality and Efficiency in High Dimensional Nearest Neighbor Search 2009 SIGMOD 0.00018201541
2,098 Efficient Ad-hoc Search for Personalized PageRank 2013 SIGMOD 9.5480012e-05
3,510 Inter-Media Hashing for Large-scale Retrieval from Heterogeneous Data Sources 2013 SIGMOD 7.0258619e-05
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