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» On the Distributed Complexity of Computing Maximal Matchings
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ICDE
2009
IEEE
120views Database» more  ICDE 2009»
16 years 7 months ago
Weighted Proximity Best-Joins for Information Retrieval
We consider the problem of efficiently computing weighted proximity best-joins over multiple lists, with applications in information retrieval and extraction. We are given a multi-...
AnHai Doan, Haixun Wang, Hao He, Jun Yang 0001, Ri...
RECOMB
2004
Springer
16 years 6 months ago
Designing multiple simultaneous seeds for DNA similarity search
The challenge of similarity search in massive DNA sequence databases has inspired major changes in BLAST-style alignment tools, which accelerate search by inspecting only pairs of...
Yanni Sun, Jeremy Buhler
MIDDLEWARE
2005
Springer
15 years 11 months ago
Combining Flexibility and Scalability in a Peer-to-Peer Publish/Subscribe System
The content-based publish/subscribe model has been adopted by many services to deliver data between distributed users based on application-specific semantics. Two key issues in su...
Chi Zhang, Arvind Krishnamurthy, Randolph Y. Wang,...
IPPS
1999
IEEE
15 years 10 months ago
Coarse Grained Parallel Maximum Matching In Convex Bipartite Graphs
We present a coarse grained parallel algorithm for computing a maximum matching in a convex bipartite graph G = A;B;E. For p processors with N=p memory per processor, N = jAj+jBj,...
Prosenjit Bose, Albert Chan, Frank K. H. A. Dehne,...
ICPR
2006
IEEE
16 years 7 months ago
Canonical Skeletons for Shape Matching
Skeletal representations of 2-D shape, including shock graphs, have become increasingly popular for shape matching and object recognition. However, it is well known that skeletal ...
Alexandru Telea, Cristian Sminchisescu, Diego Macr...