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» Estimation in covariate-adjusted regression
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BMCBI
2011
14 years 1 months ago
A Simple Approach to Ranking Differentially Expressed Gene Expression Time Courses through Gaussian Process Regression
Background: The analysis of gene expression from time series underpins many biological studies. Two basic forms of analysis recur for data of this type: removing inactive (quiet) ...
Alfredo A. Kalaitzis, Neil D. Lawrence
DAGM
2007
Springer
15 years 3 months ago
Selection of Local Optical Flow Models by Means of Residual Analysis
Abstract. This contribution presents a novel approach to the challenging problem of model selection in motion estimation from sequences of images. New light is cast on parametric m...
Björn Andres, Fred A. Hamprecht, Christoph S....
MCS
2005
Springer
15 years 3 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun
TIP
2010
77views more  TIP 2010»
14 years 4 months ago
A Motion-Aligned Auto-Regressive Model for Frame Rate Up Conversion
In this paper, a motion-aligned auto-regressive (MAAR) model is proposed for frame rate up conversion, where each pixel is interpolated as the average of the results generated by o...
Yongbing Zhang, Debin Zhao, Siwei Ma, Ronggang Wan...
NIPS
2007
14 years 11 months ago
How SVMs can estimate quantiles and the median
We investigate quantile regression based on the pinball loss and the ǫ-insensitive loss. For the pinball loss a condition on the data-generating distribution P is given that ensu...
Andreas Christmann, Ingo Steinwart