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SIAMSC
2008
167views more  SIAMSC 2008»
15 years 3 months ago
High Order Numerical Quadratures to One Dimensional Delta Function Integrals
Abstract. We study high order numerical quadratures to one dimensional delta function integrals in this paper. This is motivated by the fact that traditional numerical quadratures ...
Xin Wen
PRL
2006
77views more  PRL 2006»
15 years 3 months ago
Wavelet based approach to cluster analysis. Application on low dimensional data sets
In this paper, we present a wavelet based approach which tries to automatically find the number of clusters present in a data set, along with their position and statistical proper...
Xavier Otazu, Oriol Pujol
KDD
2009
ACM
173views Data Mining» more  KDD 2009»
16 years 3 months ago
The offset tree for learning with partial labels
We present an algorithm, called the offset tree, for learning in situations where a loss associated with different decisions is not known, but was randomly probed. The algorithm i...
Alina Beygelzimer, John Langford
IEEECGIV
2009
IEEE
15 years 10 months ago
Two Dimensional Compressive Classifier for Sparse Images
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
Armin Eftekhari, Hamid Abrishami Moghaddam, Massou...
CATA
2004
15 years 4 months ago
Decision Tree Induction for Dynamic, High-Dimensional Data Using P-Trees
1 Decision Tree Induction is a powerful classification tool that is much used in practice and works well for static data with dozens of attributes. We adapt the decision tree conce...
Anne Denton, William Perrizo