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» Dirichlet Process Mixtures of Generalized Linear Models
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MP
2007
145views more  MP 2007»
15 years 3 months ago
Machine scheduling with resource dependent processing times
We consider machine scheduling on unrelated parallel machines with the objective to minimize the schedule makespan. We assume that, in addition to its machine dependence, the proce...
Alexander Grigoriev, Maxim Sviridenko, Marc Uetz
TSMC
2010
14 years 10 months ago
Probability Density Estimation With Tunable Kernels Using Orthogonal Forward Regression
A generalized or tunable-kernel model is proposed for probability density function estimation based on an orthogonal forward regression procedure. Each stage of the density estimat...
Sheng Chen, Xia Hong, Chris J. Harris
ECCV
2002
Springer
16 years 5 months ago
Robust Parameterized Component Analysis
Principal ComponentAnalysis (PCA) has been successfully applied to construct linear models of shape, graylevel, and motion. In particular, PCA has been widely used to model the var...
Fernando De la Torre, Michael J. Black
CORR
2006
Springer
145views Education» more  CORR 2006»
15 years 4 months ago
Algebraic Signal Processing Theory
In [1], we presented the algebraic signal processing theory, an axiomatic and general framework for linear signal processing. The basic concept in this theory is the signal model d...
Markus Püschel, José M. F. Moura
143
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TCAD
2008
172views more  TCAD 2008»
15 years 3 months ago
General Methodology for Soft-Error-Aware Power Optimization Using Gate Sizing
Power consumption has emerged as the premier and most constraining aspect in modern microprocessor and application-specific designs. Gate sizing has been shown to be one of the mos...
Foad Dabiri, Ani Nahapetian, Tammara Massey, Miodr...