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» A Kernel Approach to Comparing Distributions
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EOR
2007
165views more  EOR 2007»
14 years 9 months ago
Adaptive credit scoring with kernel learning methods
Credit scoring is a method of modelling potential risk of credit applications. Traditionally, logistic regression, linear regression and discriminant analysis are the most popular...
Yingxu Yang
SDM
2009
SIAM
215views Data Mining» more  SDM 2009»
15 years 7 months ago
Hybrid Clustering of Text Mining and Bibliometrics Applied to Journal Sets.
To obtain correlated and complementary information contained in text mining and bibliometrics, hybrid clustering to incorporate textual content and citation information has become...
Bart De Moor, Frizo A. L. Janssens, Shi Yu, Wolfga...
EUROPAR
2006
Springer
15 years 1 months ago
Multi-dimensional Kernel Generation for Loop Nest Software Pipelining
Single-dimension Software Pipelining (SSP) has been proposed as an effective software pipelining technique for multi-dimensional loops [16]. This paper introduces for the first tim...
Alban Douillet, Hongbo Rong, Guang R. Gao
CVPR
2010
IEEE
15 years 3 months ago
Weakly-Supervised Hashing in Kernel Space
The explosive growth of the vision data motivates the recent studies on efficient data indexing methods such as locality-sensitive hashing (LSH). Most existing approaches perform...
Yadong Mu, Jialie Shen, Shuicheng Yan
PR
2006
116views more  PR 2006»
14 years 9 months ago
Correspondence matching using kernel principal components analysis and label consistency constraints
This paper investigates spectral approaches to the problem of point pattern matching. We make two contributions. First, we consider rigid point-set alignment. Here we show how ker...
Hongfang Wang, Edwin R. Hancock