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» A Discourse on Complexity of Process Models
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159
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JMLR
2010
173views more  JMLR 2010»
14 years 10 months ago
Elliptical slice sampling
Many probabilistic models introduce strong dependencies between variables using a latent multivariate Gaussian distribution or a Gaussian process. We present a new Markov chain Mo...
Iain Murray, Ryan Prescott Adams, David J. C. MacK...
ICASSP
2011
IEEE
14 years 7 months ago
Accurate non-iterative depth layer extraction algorithm for image based rendering
Image based rendering is an attractive alternative for generating novel views compared to model based rendering due to its lower complexity and potential for photo-realistic resul...
James Pearson, Pier Luigi Dragotti, Mike Brookes
132
Voted
CMSB
2007
Springer
15 years 9 months ago
Expressive Models for Synaptic Plasticity
We explore some presynaptic mechanisms of the calyx of Held synapse through a stochastic model. The model, drawn from a kinetic approach developed in literature, exploits process c...
Andrea Bracciali, Marcello Brunelli, Enrico Catald...
153
Voted
PVLDB
2008
160views more  PVLDB 2008»
15 years 3 months ago
BayesStore: managing large, uncertain data repositories with probabilistic graphical models
Several real-world applications need to effectively manage and reason about large amounts of data that are inherently uncertain. For instance, pervasive computing applications mus...
Daisy Zhe Wang, Eirinaios Michelakis, Minos N. Gar...
128
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KDD
2004
ACM
161views Data Mining» more  KDD 2004»
15 years 9 months ago
ANN quality diagnostic models for packaging manufacturing: an industrial data mining case study
World steel trade becomes more competitive every day and new high international quality standards and productivity levels can only be achieved by applying the latest computational...
Nicolás de Abajo, Alberto B. Diez, Vanesa L...