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CP
2006
Springer
14 years 1 months ago
Stochastic Allocation and Scheduling for Conditional Task Graphs in MPSoCs
This paper describes a complete and efficient solution to the stochastic allocation and scheduling for Multi-Processor System-on-Chip (MPSoC). Given a conditional task graph charac...
Michele Lombardi, Michela Milano
ICML
2004
IEEE
14 years 10 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
CP
2008
Springer
13 years 11 months ago
An Application of Constraint Programming to Superblock Instruction Scheduling
Modern computer architectures have complex features that can only be fully taken advantage of if the compiler schedules the compiled code. A standard region of code for scheduling ...
Abid M. Malik, Michael Chase, Tyrel Russell, Peter...
ICCV
2009
IEEE
15 years 2 months ago
Dimensionality Reduction and Principal Surfaces via Kernel Map Manifolds
We present a manifold learning approach to dimensionality reduction that explicitly models the manifold as a mapping from low to high dimensional space. The manifold is represen...
Samuel Gerber, Tolga Tasdizen, Ross Whitaker
ICCV
2001
IEEE
14 years 11 months ago
Incorporating Differential Constraints in a 3D Reconstruction Process. Application to Stereo
We propose to incorporate a priori geometric constraints in a 3?D stereo reconstruction scheme to cope with the many cases where image information alone is not sufficient to accur...
Richard Lengagne, Pascal Fua