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PRL
2011
13 years 4 months ago
Efficient approximate Regularized Least Squares by Toeplitz matrix
Machine Learning based on the Regularized Least Square (RLS) model requires one to solve a system of linear equations. Direct-solution methods exhibit predictable complexity and s...
Sergio Decherchi, Paolo Gastaldo, Rodolfo Zunino
JIRS
2008
100views more  JIRS 2008»
13 years 9 months ago
Model-based Predictive Control of Hybrid Systems: A Probabilistic Neural-network Approach to Real-time Control
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
Bostjan Potocnik, Gasper Music, Igor Skrjanc, Boru...
DEBS
2009
ACM
14 years 9 days ago
Event-based systems: opportunities and challenges at exascale
Streaming data models have been shown to be useful in many applications requiring high-performance data exchange. Application-level overlay networks are a natural way to realize t...
Greg Eisenhauer, Matthew Wolf, Hasan Abbasi, Karst...
IPPS
1998
IEEE
14 years 1 months ago
Design and Implementation of a Parallel I/O Runtime System for Irregular Applications
In this paper we present the design, implementation and evaluation of a runtime system based on collective I/O techniques for irregular applications. We present two models, namely...
Jaechun No, Sung-Soon Park, Jesús Carretero...
ECCV
2010
Springer
14 years 2 months ago
Stacked Hierarchical Labeling
In this work we propose a hierarchical approach for labeling semantic objects and regions in scenes. Our approach is reminiscent of early vision literature in that we use a decompo...