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TSP
2010
13 years 2 months ago
Variance-component based sparse signal reconstruction and model selection
We propose a variance-component probabilistic model for sparse signal reconstruction and model selection. The measurements follow an underdetermined linear model, where the unknown...
Kun Qiu, Aleksandar Dogandzic
FDL
2005
IEEE
14 years 1 months ago
Mixing Synchronous Reactive and Untimed Models of Computation
The support of heterogeneity at the specification level, that is, the ability to mix several models of computation (MoCs) in the system-level specification, is becoming increasing...
Fernando Herrera, Eugenio Villar
ATAL
2007
Springer
14 years 1 days ago
Confidence-based policy learning from demonstration using Gaussian mixture models
We contribute an approach for interactive policy learning through expert demonstration that allows an agent to actively request and effectively represent demonstration examples. I...
Sonia Chernova, Manuela M. Veloso
MOBIHOC
2009
ACM
14 years 8 months ago
Delay and effective throughput of wireless scheduling in heavy traffic regimes: vacation model for complexity
Distributed scheduling algorithms for wireless ad hoc networks have received substantial attention over the last decade. The complexity levels of these algorithms span a wide spec...
Yung Yi, Junshan Zhang, Mung Chiang
JCDL
2005
ACM
111views Education» more  JCDL 2005»
14 years 1 months ago
Digitization and 3D modeling of movable books
Movable books provide interesting challenges for digitization and user interfaces design. We report in this paper some preliminary results in the building of a 3D visualization wo...
Pierre Cubaud, Jérôme Dupire, Alexand...