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NCI
2004
141views Neural Networks» more  NCI 2004»
15 years 7 months ago
Estimating the error at given test input points for linear regression
In model selection procedures in supervised learning, a model is usually chosen so that the expected test error over all possible test input points is minimized. On the other hand...
Masashi Sugiyama
CEC
2010
IEEE
15 years 6 months ago
Designing airfoils using a reference point based evolutionary many-objective particle swarm optimization algorithm
— In this paper, we illustrate the use of a reference point based many-objective particle swarm optimization algorithm to optimize low-speed airfoil aerodynamic designs. Our fram...
Upali K. Wickramasinghe, Robert Carrese, Xiaodong ...
ICCV
2009
IEEE
15 years 3 months ago
Non-iterative approach for fast and accurate vanishing point detection
We present an algorithm that quickly and accurately estimates vanishing points in images of man-made environments. Contrary to previously proposed solutions, ours is neither itera...
Jean-Philippe Tardif
CHI
2011
ACM
14 years 9 months ago
Modeling and predicting pointing errors in two dimensions
Recently, Wobbrock et al. (2008) derived a predictive model of pointing accuracy to complement Fitts’ law’s predictive model of pointing speed. However, their model was based ...
Jacob O. Wobbrock, Alex Jansen, Kristen Shinohara
ECCV
2000
Springer
16 years 8 months ago
A Six Point Solution for Structure and Motion
The paper has two main contributions: The rst is a set of methods for computing structure and motion for m 3 views of 6 points. It is shown that a geometric image error can be mini...
Frederik Schaffalitzky, Andrew Zisserman, Richard ...