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» Informative sampling for large unbalanced data sets
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JMLR
2006
105views more  JMLR 2006»
15 years 1 months ago
Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems
Parallel software for solving the quadratic program arising in training support vector machines for classification problems is introduced. The software implements an iterative dec...
Luca Zanni, Thomas Serafini, Gaetano Zanghirati
RSKT
2010
Springer
14 years 12 months ago
Ordered Weighted Average Based Fuzzy Rough Sets
Traditionally, membership to the fuzzy-rough lower, resp. upper approximation is determined by looking only at the worst, resp. best performing object. Consequently, when applied t...
Chris Cornelis, Nele Verbiest, Richard Jensen
AVI
2004
15 years 2 months ago
Interactive data summarization: an example application
Summarizing large multidimensional datasets is a challenging task, often requiring extensive investigation by a user to identify overall trends and important exceptions to them. W...
Neal Lesh, Michael Mitzenmacher
CIKM
2005
Springer
15 years 7 months ago
Towards estimating the number of distinct value combinations for a set of attributes
Accurately and efficiently estimating the number of distinct values for some attribute(s) or sets of attributes in a data set is of critical importance to many database operation...
Xiaohui Yu, Calisto Zuzarte, Kenneth C. Sevcik
ICARCV
2008
IEEE
184views Robotics» more  ICARCV 2008»
15 years 8 months ago
Learning informative point classes for the acquisition of object model maps
—This paper proposes a set of methods for building informative and robust feature point representations, used for accurately labeling points in a 3D point cloud, based on the typ...
Radu Bogdan Rusu, Zoltan Csaba Marton, Nico Blodow...