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» Missing Data Estimation Using Polynomial Kernels
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IJCV
2000
164views more  IJCV 2000»
15 years 10 days ago
Probabilistic Modeling and Recognition of 3-D Objects
This paper introduces a uniform statistical framework for both 3-D and 2-D object recognition using intensity images as input data. The theoretical part provides a mathematical too...
Joachim Hornegger, Heinrich Niemann
108
Voted
BMCBI
2008
120views more  BMCBI 2008»
15 years 19 days ago
Statistical issues in the analysis of Illumina data
Background: Illumina bead-based arrays are becoming increasingly popular due to their high degree of replication and reported high data quality. However, little attention has been...
Mark J. Dunning, Nuno L. Barbosa-Morais, Andy G. L...
WACV
2008
IEEE
15 years 7 months ago
Robust Human Pose Recognition Using Unlabelled Markers
In this paper, we tackle robust human pose recognition using unlabelled markers obtained from an optical marker-based motion capture system. A coarse-to-fine fast pose matching al...
Yi Wang, Gang Qian
117
Voted
CVPR
2008
IEEE
16 years 2 months ago
On errors-in-variables regression with arbitrary covariance and its application to optical flow estimation
Linear inverse problems in computer vision, including motion estimation, shape fitting and image reconstruction, give rise to parameter estimation problems with highly correlated ...
Björn Andres, Claudia Kondermann, Daniel Kond...
122
Voted
BMCBI
2007
194views more  BMCBI 2007»
15 years 16 days ago
A meta-data based method for DNA microarray imputation
Background: DNA microarray experiments are conducted in logical sets, such as time course profiling after a treatment is applied to the samples, or comparisons of the samples unde...
Rebecka Jörnsten, Ming Ouyang, Hui-Yu Wang