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» Approximation Algorithms for Biclustering Problems
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KDD
2008
ACM
161views Data Mining» more  KDD 2008»
16 years 3 months ago
Locality sensitive hash functions based on concomitant rank order statistics
: Locality Sensitive Hash functions are invaluable tools for approximate near neighbor problems in high dimensional spaces. In this work, we are focused on LSH schemes where the si...
Kave Eshghi, Shyamsundar Rajaram
ICDE
2009
IEEE
159views Database» more  ICDE 2009»
15 years 10 months ago
ApproxRank: Estimating Rank for a Subgraph
Abstract— Customized semantic query answering, personalized search, focused crawlers and localized search engines frequently focus on ranking the pages contained within a subgrap...
Yao Wu, Louiqa Raschid
INFOCOM
2008
IEEE
15 years 9 months ago
Queueing Analysis of Loss Systems with Variable Optical Delay Lines
—Recently, a new optical device called variable optical delay line (VODL) has been proposed in the literature. As suggested by its name, the delay of a VODL can be dynamically se...
Duan-Shin Lee, Cheng-Shang Chang, Jay Cheng, Horng...
IMC
2007
ACM
15 years 4 months ago
Learning network structure from passive measurements
The ability to discover network organization, whether in the form of explicit topology reconstruction or as embeddings that approximate topological distance, is a valuable tool. T...
Brian Eriksson, Paul Barford, Robert Nowak, Mark C...
SSDBM
2010
IEEE
133views Database» more  SSDBM 2010»
15 years 1 months ago
PrefIndex: An Efficient Supergraph Containment Search Technique
Graphs are prevailingly used in many applications to model complex data structures. In this paper, we study the problem of supergraph containment search. To avoid the NP-complete s...
Gaoping Zhu, Xuemin Lin, Wenjie Zhang, Wei Wang, H...