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ML
2002
ACM
127views Machine Learning» more  ML 2002»
14 years 11 months ago
Sparse Regression Ensembles in Infinite and Finite Hypothesis Spaces
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
Gunnar Rätsch, Ayhan Demiriz, Kristin P. Benn...
IJRR
2007
100views more  IJRR 2007»
14 years 11 months ago
Exactly Sparse Extended Information Filters for Feature-based SLAM
Recent research concerning the Gaussian canonical form for Simultaneous Localization and Mapping (SLAM) has given rise to a handful of algorithms that attempt to solve the SLAM sc...
Matthew Walter, Ryan Eustice, John J. Leonard
JMIV
1998
112views more  JMIV 1998»
14 years 11 months ago
Differential and Integral Geometry of Linear Scale-Spaces
Linear scale-space theory provides a useful framework to quantify the differential and integral geometry of spatio-temporal input images. In this paper that geometry comes about by...
Alfons H. Salden, Bart M. ter Haar Romeny, Max A. ...
IEEEPACT
2006
IEEE
15 years 5 months ago
A two-phase escape analysis for parallel java programs
Thread escape analysis conservatively determines which objects may be accessed in more than one thread. Thread escape analysis is useful for a variety of purposes – finding rac...
Kyungwoo Lee, Samuel P. Midkiff
SCALESPACE
2005
Springer
15 years 5 months ago
Vortex and Source Particles for Fluid Motion Estimation
In this paper we propose a new motion estimator for image sequences depicting fluid flows. The proposed estimator is based on the Helmholtz decomposition of vector fields. This ...
Anne Cuzol, Étienne Mémin