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ICANN
2010
Springer
15 years 8 months ago
Model of the Hippocampal Learning of Spatio-temporal Sequences
We propose a model of the hippocampus aimed at learning the timed association between subsequent sensory events. The properties of the neural network allow it to learn and predict ...
Julien Hirel, Philippe Gaussier, Mathias Quoy
CORR
2006
Springer
145views Education» more  CORR 2006»
15 years 6 months ago
Asymptotic SER and Outage Probability of MIMO MRC in Correlated Fading
This letter derives the asymptotic symbol error rate (SER) and outage probability of multiple-input multiple-output (MIMO) maximum ratio-combining (MRC) systems. We consider Raylei...
Shi Jin, Matthew R. McKay, Xiqi Gao, Iain B. Colli...
IJNSEC
2008
98views more  IJNSEC 2008»
15 years 6 months ago
A New General Transparency Model for Block-based Watermarking Method
Blocking artifact is one of the main drawbacks of the block-based watermarking method. Though a number of researches on "transparent" digital watermarking system have be...
Fangjun Huang
PAMI
1998
112views more  PAMI 1998»
15 years 6 months ago
Degraded Image Analysis: An Invariant Approach
—Analysis and interpretation of an image which was acquired by a nonideal imaging system is the key problem in many application areas. The observed image is usually corrupted by ...
Jan Flusser, Tomás Suk
MCS
2008
Springer
15 years 6 months ago
Dynamical low-rank approximation: applications and numerical experiments
Dynamical low-rank approximation is a differential-equation based approach to efficiently computing low-rank approximations to time-dependent large data matrices or to solutions o...
Achim Nonnenmacher, Christian Lubich