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» Iterative Subgraph Mining for Principal Component Analysis
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ICDM
2006
IEEE
225views Data Mining» more  ICDM 2006»
13 years 11 months ago
Adaptive Kernel Principal Component Analysis with Unsupervised Learning of Kernels
Choosing an appropriate kernel is one of the key problems in kernel-based methods. Most existing kernel selection methods require that the class labels of the training examples ar...
Daoqiang Zhang, Zhi-Hua Zhou, Songcan Chen
KDD
2008
ACM
130views Data Mining» more  KDD 2008»
14 years 6 months ago
Unsupervised feature selection for principal components analysis
Christos Boutsidis, Michael W. Mahoney, Petros Dri...
ICRA
2008
IEEE
170views Robotics» more  ICRA 2008»
13 years 12 months ago
Human detection using iterative feature selection and logistic principal component analysis
— We present a fast feature selection algorithm suitable for object detection applications where the image being tested must be scanned repeatedly to detected the object of inter...
Wael Abd-Almageed, Larry S. Davis
BMCBI
2011
12 years 9 months ago
Study of large and highly stratified population datasets by combining iterative pruning principal component analysis and STRUCTU
Background: The ever increasing sizes of population genetic datasets pose great challenges for population structure analysis. The Tracy-Widom (TW) statistical test is widely used ...
Tulaya Limpiti, Apichart Intarapanich, Anunchai As...