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ICML
2010
IEEE
13 years 9 months ago
Continuous-Time Belief Propagation
Many temporal processes can be naturally modeled as a stochastic system that evolves continuously over time. The representation language of continuous-time Bayesian networks allow...
Tal El-Hay, Ido Cohn, Nir Friedman, Raz Kupferman
ICASSP
2010
IEEE
13 years 8 months ago
Adaptive compressed sensing - A new class of self-organizing coding models for neuroscience
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
William K. Coulter, Cristopher J. Hillar, Guy Isle...
CORR
2010
Springer
84views Education» more  CORR 2010»
13 years 8 months ago
Constructing Active Architectures in the ArchWare ADL
Software that cannot change is condemned to atrophy: it cannot accommodate the constant revision and renegotiation of its business goals nor intercept the potential of new technol...
Ronald Morrison, Graham N. C. Kirby, Dharini Balas...
DKE
2006
79views more  DKE 2006»
13 years 8 months ago
Schema versioning in data warehouses: Enabling cross-version querying via schema augmentation
As several mature implementations of data warehousing systems are fully operational, a crucial role in preserving their up-to-dateness is played by the ability to manage the chang...
Matteo Golfarelli, Jens Lechtenbörger, Stefan...
PRL
2006
105views more  PRL 2006»
13 years 8 months ago
Parisian camera placement for vision metrology
This paper presents a novel camera network design methodology based on the Parisian evolutionary computation approach. This methodology proposes to partition the original problem ...
Enrique Dunn, Gustavo Olague, Evelyne Lutton