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» Missing Data Estimation Using Polynomial Kernels
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90
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CSDA
2010
122views more  CSDA 2010»
15 years 16 days ago
Nonparametric density estimation for positive time series
The Gaussian kernel density estimator is known to have substantial problems for bounded random variables with high density at the boundaries. For i.i.d. data several solutions hav...
Taoufik Bouezmarni, Jeroen V. K. Rombouts
ICIP
2010
IEEE
14 years 10 months ago
Compressed domain global motion estimation using the Helmholtz Tradeoff Estimator
Several algorithms for global motion estimation in video sequences using pixel- or block-based approaches have been published. Most known pixel-based methods lack in performance w...
Michael Tok, Alexander Glantz, Marina Georgia Arva...
109
Voted
BMCBI
2004
113views more  BMCBI 2004»
15 years 10 days ago
Influence of microarrays experiments missing values on the stability of gene groups by hierarchical clustering
Background: Microarray technologies produced large amount of data. The hierarchical clustering is commonly used to identify clusters of co-expressed genes. However, microarray dat...
Alexandre G. de Brevern, Serge A. Hazout, Alain Ma...
CVPR
1998
IEEE
16 years 1 months ago
A New Complex Basis for Implicit Polynomial Curves and its Simple Exploitation for Pose Estimation and Invariant Recognition
New representations are developed for 2D IP (implicit polynomial) curves ofarbitrary degree. These representations permit shape recognition and pose estimation with essentially sin...
David B. Cooper, Jean-Philippe Tarel
114
Voted
RECOMB
2004
Springer
16 years 23 days ago
A class of edit kernels for SVMs to predict translation initiation sites in eukaryotic mRNAs
The prediction of translation initiation sites (TISs) in eukaryotic mRNAs has been a challenging problem in computational molecular biology. In this paper, we present a new algori...
Haifeng Li, Tao Jiang