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ICML
2009
IEEE
14 years 9 months ago
Discriminative k-metrics
The k q-flats algorithm is a generalization of the popular k-means algorithm where q dimensional best fit affine sets replace centroids as the cluster prototypes. In this work, a ...
Arthur Szlam, Guillermo Sapiro
VDA
2010
166views Visualization» more  VDA 2010»
13 years 6 months ago
Critical region analysis of scalar fields in arbitrary dimensions
The exploration of multidimensional scalar fields is commonly based on the knowledge of the topology of their isosurfaces. The latter is established through the analysis of critic...
Madjid Allili, Marc Ethier, Tomasz Kaczynski
CSE
2008
IEEE
13 years 10 months ago
ACN: An Associative Classifier with Negative Rules
Classification using association rules has added a new dimension to the ongoing research for accurate classifiers. Over the years, a number of associative classifiers based on pos...
Gourab Kundu, Md. Monirul Islam, Sirajum Munir, Md...
SIAMJO
2008
86views more  SIAMJO 2008»
13 years 8 months ago
On the Second-Order Feasibility Cone: Primal-Dual Representation and Efficient Projection
We study the second-order feasibility cone F = {y IRn : My gT y} for given data (M, g). We construct a new representation for this cone and its dual based on the spectral decompo...
Alexandre Belloni, Robert M. Freund
ICML
2005
IEEE
14 years 9 months ago
A smoothed boosting algorithm using probabilistic output codes
AdaBoost.OC has shown to be an effective method in boosting "weak" binary classifiers for multi-class learning. It employs the Error Correcting Output Code (ECOC) method...
Rong Jin, Jian Zhang