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FOCS
1999
IEEE
15 years 9 months ago
An Algorithmic Theory of Learning: Robust Concepts and Random Projection
We study the phenomenon of cognitive learning from an algorithmic standpoint. How does the brain effectively learn concepts from a small number of examples despite the fact that e...
Rosa I. Arriaga, Santosh Vempala
149
Voted
AUTOMATICA
2005
115views more  AUTOMATICA 2005»
15 years 4 months ago
Robust constrained predictive control using comparison model
This paper proposes a quadratic programming (QP) approach to robust model predictive control (MPC) for constrained linear systems having both model uncertainties and bounded distu...
Hiroaki Fukushima, Robert R. Bitmead
NECO
2002
100views more  NECO 2002»
15 years 4 months ago
Robust Regression with Asymmetric Heavy-Tail Noise Distributions
In the presence of a heavy-tail noise distribution, regression becomes much more di cult. Traditional robust regression methods assume that the noise distribution is symmetric and...
Ichiro Takeuchi, Yoshua Bengio, Takafumi Kanamori
PRL
2007
107views more  PRL 2007»
15 years 4 months ago
Robust SS watermarking with improved capacity
Robustness is a key attribute of spread spectrum (SS) watermarking scheme. It is significantly deteriorated if one tries to achieve high embedding rate keeping other parameters u...
Santi P. Maity, Malay K. Kundu, Tirtha S. Das
ICCV
2009
IEEE
16 years 9 months ago
Robust Fitting of Multiple Structures: The Statistical Learning Approach
We propose an unconventional but highly effective approach to robust fitting of multiple structures by using statistical learning concepts. We design a novel Mercer kernel for t...
Tat-Jun Chin, Hanzi Wang, David Suter