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ML
2002
ACM
127views Machine Learning» more  ML 2002»
13 years 8 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»
13 years 8 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»
13 years 8 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
14 years 2 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
14 years 2 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