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EDBT
2009
ACM
277views Database» more  EDBT 2009»
13 years 10 months ago
G-hash: towards fast kernel-based similarity search in large graph databases
Structured data including sets, sequences, trees and graphs, pose significant challenges to fundamental aspects of data management such as efficient storage, indexing, and simila...
Xiaohong Wang, Aaron M. Smalter, Jun Huan, Gerald ...
ICML
2006
IEEE
14 years 6 months ago
Ranking on graph data
In ranking, one is given examples of order relationships among objects, and the goal is to learn from these examples a real-valued ranking function that induces a ranking or order...
Shivani Agarwal
WAIM
2010
Springer
13 years 3 months ago
Taming Computational Complexity: Efficient and Parallel SimRank Optimizations on Undirected Graphs
SimRank has been considered as one of the promising link-based ranking algorithms to evaluate similarities of web documents in many modern search engines. In this paper, we investi...
Weiren Yu, Xuemin Lin, Jiajin Le
ICML
2005
IEEE
14 years 6 months ago
Online learning over graphs
We apply classic online learning techniques similar to the perceptron algorithm to the problem of learning a function defined on a graph. The benefit of our approach includes simp...
Mark Herbster, Massimiliano Pontil, Lisa Wainer
TMM
2010
199views Management» more  TMM 2010»
12 years 12 months ago
Video Annotation Through Search and Graph Reinforcement Mining
Abstract--Unlimited vocabulary annotation of multimedia documents remains elusive despite progress solving the problem in the case of a small, fixed lexicon. Taking advantage of th...
Emily Moxley, Tao Mei, Bangalore S. Manjunath