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CORR
2008
Springer
107views Education» more  CORR 2008»
13 years 7 months ago
Randomized Methods for Linear Constraints: Convergence Rates and Conditioning
We study randomized variants of two classical algorithms: coordinate descent for systems of linear equations and iterated projections for systems of linear inequalities. Expanding...
D. Leventhal, A. S. Lewis
ICPR
2006
IEEE
14 years 8 months ago
Adaptative Markov Random Fields for Omnidirectional Vision
Images obtained with catadioptric sensors contain significant deformations which prevent the direct use of classical image treatments. Thus, Markov Random Fields (MRF) whose usefu...
Cédric Demonceaux, Pascal Vasseur
ICIP
2004
IEEE
14 years 9 months ago
Gradient based dominant motion estimation with integral projections for real time video stabilisation
This paper presents a new expression of the relationship between Integral Projections and motion in an image pair. The resulting new multiresolution gradient based approach is use...
Andrew Crawford, Anil C. Kokaram, François ...
CSDA
2008
84views more  CSDA 2008»
13 years 7 months ago
Bayesian spatial prediction of the site index in the study of the Missouri Ozark Forest Ecosystem Project
This paper presents a Bayesian spatial method for analysing the site index data from the Missouri Ozark Forest Ecosystem Project (MOFEP). Based on ecological background and availa...
Xiaoqian Sun, Zhuoqiong He, John Kabrick
ICML
2002
IEEE
14 years 8 months ago
On generalization bounds, projection profile, and margin distribution
We study generalization properties of linear learning algorithms and develop a data dependent approach that is used to derive generalization bounds that depend on the margin distr...
Ashutosh Garg, Sariel Har-Peled, Dan Roth