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» Robust estimation for sparse data
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PR
2007
96views more  PR 2007»
15 years 1 months ago
Weighted and robust learning of subspace representations
A reliable system for visual learning and recognition should enable a selective treatment of individual parts of input data and should successfully deal with noise and occlusions....
Danijel Skocaj, Ales Leonardis, Horst Bischof
ACL
1994
15 years 2 months ago
Precise N-Gram Probabilities from Stochastic Context-Free Grammars
We present an algorithm for computing n-gram probabilities from stochastic context-free grammars, a procedure that can alleviate some of the standard problems associated with n-gr...
Andreas Stolcke, Jonathan Segal
IROS
2009
IEEE
146views Robotics» more  IROS 2009»
15 years 8 months ago
Robust constraint-consistent learning
— Many everyday human skills can be framed in terms of performing some task subject to constraints imposed by the environment. Constraints are usually unobservable and frequently...
Matthew Howard, Stefan Klanke, Michael Gienger, Ch...
CVPR
2011
IEEE
14 years 10 months ago
Generalized Projection Based M-Estimator: Theory and Applications
We introduce a robust estimator called generalized projection based M-estimator (gpbM) which does not require the user to specify any scale parameters. For multiple inlier structu...
Sushil Mittal, Saket Anand, Peter Meer
EH
2002
IEEE
139views Hardware» more  EH 2002»
15 years 6 months ago
Evolving Cellular Automata to Model Fluid Flow in Porous Media
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Tina Yu, Seong Lee