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IJAR
2006
98views more  IJAR 2006»
15 years 6 months ago
Inference in hybrid Bayesian networks with mixtures of truncated exponentials
Mixtures of truncated exponentials (MTE) potentials are an alternative to discretization for solving hybrid Bayesian networks. Any probability density function can be approximated...
Barry R. Cobb, Prakash P. Shenoy
IVC
2008
74views more  IVC 2008»
15 years 6 months ago
Log-polar mapping template design: From task-level requirements to geometry parameters
The best parameters defining the geometry of a visual sensor generally depend on the particular visual task the sensor is intended to be used in. However, translating task require...
V. Javier Traver, Filiberto Pla
174
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CONSTRAINTS
2007
83views more  CONSTRAINTS 2007»
15 years 6 months ago
Generic Incremental Algorithms for Local Search
When a new (global) constraint is introduced in local search, measures for the penalty and variable conflicts of that constraint must be defined, and incremental algorithms for m...
Magnus Ågren, Pierre Flener, Justin Pearson
IJON
2006
189views more  IJON 2006»
15 years 6 months ago
Storing and restoring visual input with collaborative rank coding and associative memory
Associative memory in cortical circuits has been held as a major mechanism for content-addressable memory. Hebbian synapses implement associative memory efficiently when storing s...
Martin Rehn, Friedrich T. Sommer
CORR
2007
Springer
117views Education» more  CORR 2007»
15 years 6 months ago
Sensor Networks with Random Links: Topology Design for Distributed Consensus
—In a sensor network, in practice, the communication among sensors is subject to: 1) errors that can cause failures of links among sensors at random times; 2) costs; and 3) const...
Soummya Kar, José M. F. Moura
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