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PAMI
2002
78views more  PAMI 2002»
14 years 11 months ago
Robust Factorization
Factorization algorithms for recovering structure and motion from an image stream have many advantages, but they usually require a set of well tracked features. Such a set is in g...
Henrik Aanæs, Rune Fisker, Kalle Åstr&...
ICIP
2006
IEEE
16 years 1 months ago
Denoising Archival Films using a Learned Bayesian Model
We develop a Bayesian model of digitized archival films and use this for denoising, or more specifically de-graining, individual frames. In contrast to previous approaches our mod...
Teodor Mihai Moldovan, Stefan Roth, Michael J. Bla...
ICASSP
2008
IEEE
15 years 6 months ago
Finding needles in noisy haystacks
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
Rui M. Castro, Jarvis Haupt, Robert Nowak, Gil M. ...
CONNECTION
2004
94views more  CONNECTION 2004»
14 years 11 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
JMLR
2002
87views more  JMLR 2002»
14 years 11 months ago
Shallow Parsing using Noisy and Non-Stationary Training Material
Shallow parsers are usually assumed to be trained on noise-free material, drawn from the same distribution as the testing material. However, when either the training set is noisy ...
Miles Osborne