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» Optimizing Feature Sets for Structured Data
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ICFP
2008
ACM
14 years 9 months ago
Mixin' up the ML module system
ML modules provide hierarchical namespace management, as well as fine-grained control over the propagation of type information, but they do not allow modules to be broken up into ...
Derek Dreyer, Andreas Rossberg
KDD
2008
ACM
181views Data Mining» more  KDD 2008»
14 years 9 months ago
Learning subspace kernels for classification
Kernel methods have been applied successfully in many data mining tasks. Subspace kernel learning was recently proposed to discover an effective low-dimensional subspace of a kern...
Jianhui Chen, Shuiwang Ji, Betul Ceran, Qi Li, Min...
STOC
2002
ACM
119views Algorithms» more  STOC 2002»
14 years 9 months ago
Space-efficient approximate Voronoi diagrams
Given a set S of n points in IRd , a (t, )-approximate Voronoi diagram (AVD) is a partition of space into constant complexity cells, where each cell c is associated with t represe...
Sunil Arya, Theocharis Malamatos, David M. Mount
ICPR
2008
IEEE
14 years 3 months ago
Parameter-based reduction of Gaussian mixture models with a variational-Bayes approach
This paper 1 proposes a technique for simplifying a given Gaussian mixture model, i.e. reformulating the density in a more parcimonious manner, if possible (less Gaussian componen...
Pierrick Bruneau, Marc Gelgon, Fabien Picarougne
SMA
2006
ACM
136views Solid Modeling» more  SMA 2006»
14 years 2 months ago
Controlled-topology filtering
Many applications require the extraction of isolines and isosurfaces from scalar functions defined on regular grids. These scalar functions may have many different origins: from ...
Yotam I. Gingold, Denis Zorin