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» Efficient Algorithms for k Maximum Sums
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ICDE
2006
IEEE
162views Database» more  ICDE 2006»
14 years 8 months ago
Efficient Batch Top-k Search for Dictionary-based Entity Recognition
We consider the problem of speeding up Entity Recognition systems that exploit existing large databases of structured entities to improve extraction accuracy. These systems requir...
Amit Chandel, P. C. Nagesh, Sunita Sarawagi
BMCBI
2008
116views more  BMCBI 2008»
13 years 7 months ago
Algorithm of OMA for large-scale orthology inference
Since the publication of our article (Roth, Gonnet, and Dessimoz: BMC Bioinformatics 2008 9: 518), we have noticed several errors, which we correct in the following. Correction We...
Alexander C. J. Roth, Gaston H. Gonnet, Christophe...
ANOR
2002
77views more  ANOR 2002»
13 years 7 months ago
Conditional Median: A Parametric Solution Concept for Location Problems
Classical approaches to location problems are based on the minimization of the average distance (the median concept) or the minimization of the maximum distance (the center concept...
Wlodzimierz Ogryczak, Mariusz Zawadzki
KAIS
2006
111views more  KAIS 2006»
13 years 7 months ago
Efficient string matching with wildcards and length constraints
This paper defines a challenging problem of pattern matching between a pattern P and a text T, with wildcards and length constraints, and designs an efficient algorithm to return e...
Gong Chen, Xindong Wu, Xingquan Zhu, Abdullah N. A...
PAMI
2006
134views more  PAMI 2006»
13 years 7 months ago
A Genetic Algorithm Using Hyper-Quadtrees for Low-Dimensional K-means Clustering
The k-means algorithm is widely used for clustering because of its computational efficiency. Given n points in d-dimensional space and the number of desired clusters k, k-means see...
Michael Laszlo, Sumitra Mukherjee