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ICCV
2007
IEEE
14 years 7 months ago
The Joint Manifold Model for Semi-supervised Multi-valued Regression
Many computer vision tasks may be expressed as the problem of learning a mapping between image space and a parameter space. For example, in human body pose estimation, recent rese...
Ramanan Navaratnam, Andrew W. Fitzgibbon, Roberto ...
CVPR
2004
IEEE
14 years 7 months ago
Learning a Restricted Bayesian Network for Object Detection
Many classes of images have the characteristics of sparse structuring of statistical dependency and the presence of conditional independencies among various groups of variables. S...
Henry Schneiderman
BMCBI
2005
114views more  BMCBI 2005»
13 years 5 months ago
Extension of Lander-Waterman theory for sequencing filtered DNA libraries
Background: The degree to which conventional DNA sequencing techniques will be successful for highly repetitive genomes is unclear. Investigators are therefore considering various...
Michael C. Wendl, W. Bradley Barbazuk