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» Magnitude-preserving ranking algorithms
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IPPS
1998
IEEE
15 years 10 months ago
Random Sampling Techniques in Parallel Computation
Abstract. Random sampling is an important tool in the design of parallel algorithms. Using random sampling it is possible to obtain simple parallel algorithms which are e cient in ...
Rajeev Raman
IJFCS
2007
80views more  IJFCS 2007»
15 years 6 months ago
Bisimulation Minimization of Tree Automata
We extend an algorithm by Paige and Tarjan that solves the coarsest stable refinement problem to the domain of trees. The algorithm is used to minimize non-deterministic tree auto...
Parosh Aziz Abdulla, Johanna Högberg, Lisa Ka...
TREC
2001
15 years 7 months ago
Link-based Approaches for Text Retrieval
We assess a family of ranking mechanisms for search engines based on linkage analysis using a carefully engineered subset of the World Wide Web, WT10g (Bailey, Craswell and Hawking...
Julien Gevrey, Stefan M. Rüger
ICIP
2007
IEEE
16 years 8 months ago
Domain-Partitioning Rankboost for Face Recognition
In this paper we propose a domain partitioning RankBoost approach for face recognition. This method uses Local Gabor Binary Pattern Histogram (LGBPH) features for face representat...
Bangpeng Yao, Haizhou Ai, Yoshihisa Ijiri, Shihong...
SIGMOD
2006
ACM
114views Database» more  SIGMOD 2006»
16 years 6 months ago
Ordering the attributes of query results
There has been a great deal of interest in the past few years on ranking of results of queries on structured databases, including work on probabilistic information retrieval, rank...
Gautam Das, Vagelis Hristidis, Nishant Kapoor, S. ...