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» Lower Bounds on the Size of Test Data Sets
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ICPR
2008
IEEE
14 years 2 months ago
Manifold denoising with Gaussian Process Latent Variable Models
For a finite set of points lying on a lower dimensional manifold embedded in a high-dimensional data space, algorithms have been developed to study the manifold structure. Howeve...
Yan Gao, Kap Luk Chan, Wei-Yun Yau
CVPR
2008
IEEE
14 years 9 months ago
Margin-based discriminant dimensionality reduction for visual recognition
Nearest neighbour classifiers and related kernel methods often perform poorly in high dimensional problems because it is infeasible to include enough training samples to cover the...
Hakan Cevikalp, Bill Triggs, Frédéri...
CSDA
2007
159views more  CSDA 2007»
13 years 7 months ago
Multivariate out-of-sample tests for Granger causality
A time series is said to Granger cause another series if it has incremental predictive power when forecasting it. While Granger causality tests have been studied extensively in th...
Sarah Gelper, Christophe Croux
VLDB
2007
ACM
128views Database» more  VLDB 2007»
14 years 1 months ago
A genetic approach for random testing of database systems
Testing a database engine has been and continues to be a challenging task. The space of possible SQL queries along with their possible access paths is practically unbounded. Moreo...
Hardik Bati, Leo Giakoumakis, Steve Herbert, Aleks...
JCST
2006
65views more  JCST 2006»
13 years 7 months ago
P-Tree Structures and Event Horizon: Efficient Event-Set Implementations
This paper describes efficient data structures, namely the Indexed P-tree, Block P-tree, and Indexed-Block P-tree (or IP-tree, BP-tree, and IBP-tree, respectively, for short), for...
Katerina Asdre, Stavros D. Nikolopoulos