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PAMI
2008
139views more  PAMI 2008»
15 years 4 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...
CAGD
2008
119views more  CAGD 2008»
15 years 3 months ago
A local fitting algorithm for converting planar curves to B-splines
In this paper we present a local fitting algorithm for converting smooth planar curves to Bsplines. For a smooth planar curve a set of points together with their tangent vectors a...
Chongyang Deng, Xunnian Yang
SIGMOD
2005
ACM
143views Database» more  SIGMOD 2005»
16 years 4 months ago
Holistic Aggregates in a Networked World: Distributed Tracking of Approximate Quantiles
While traditional database systems optimize for performance on one-shot queries, emerging large-scale monitoring applications require continuous tracking of complex aggregates and...
Graham Cormode, Minos N. Garofalakis, S. Muthukris...
WADS
2007
Springer
128views Algorithms» more  WADS 2007»
15 years 10 months ago
Approximate Range Searching: The Absolute Model
Range searching is a well known problem in the area of geometric data structures. We consider this problem in the context of approximation, where an approximation parameter ε >...
Guilherme Dias da Fonseca
SIGMOD
1999
ACM
181views Database» more  SIGMOD 1999»
15 years 8 months ago
Approximate Computation of Multidimensional Aggregates of Sparse Data Using Wavelets
Computing multidimensional aggregates in high dimensions is a performance bottleneck for many OLAP applications. Obtaining the exact answer to an aggregation query can be prohibit...
Jeffrey Scott Vitter, Min Wang