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BMCBI
2010
119views more  BMCBI 2010»
14 years 12 months ago
A comparison of internal validation techniques for multifactor dimensionality reduction
Background: It is hypothesized that common, complex diseases may be due to complex interactions between genetic and environmental factors, which are difficult to detect in high-di...
Stacey J. Winham, Andrew J. Slater, Alison A. Mots...
BMCBI
2011
14 years 3 months ago
A Beta-Mixture Model for Dimensionality Reduction, Sample Classification and Analysis
Background: Patterns of genome-wide methylation vary between tissue types. For example, cancer tissue shows markedly different patterns from those of normal tissue. In this paper ...
Kirsti Laurila, Bodil Oster, Claus L. Andersen, Ph...
CVPR
2007
IEEE
15 years 6 months ago
A Graph Reduction Method for 2D Snake Problems
Energy-minimizing active contour models (snakes) have been proposed for solving many computer vision problems such as object segmentation, surface reconstruction, and object track...
Jianhua Yan, Keqi Zhang, Chengcui Zhang, Shu-Ching...
ICCAD
2010
IEEE
125views Hardware» more  ICCAD 2010»
14 years 9 months ago
Peak current reduction by simultaneous state replication and re-encoding
Reducing circuit's peak current plays an important role in circuit reliability in deep sub-micron era. For sequential circuits, it is observed that the peak current has a str...
Junjun Gu, Gang Qu, Lin Yuan, Qiang Zhou
NPL
2006
130views more  NPL 2006»
14 years 11 months ago
A Fast Feature-based Dimension Reduction Algorithm for Kernel Classifiers
This paper presents a novel dimension reduction algorithm for kernel based classification. In the feature space, the proposed algorithm maximizes the ratio of the squared between-c...
Senjian An, Wanquan Liu, Svetha Venkatesh, Ronny T...