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» The Power of Linear Functions
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JMIV
2007
83views more  JMIV 2007»
15 years 6 months ago
Minimization of a Detail-Preserving Regularization Functional for Impulse Noise Removal
Recently, a powerful two-phase method for restoring images corrupted with high level impulse noise has been developed. The main drawback of the method is the computational efficie...
Jian-Feng Cai, Raymond H. Chan, Carmine Di Fiore
TVLSI
1998
124views more  TVLSI 1998»
15 years 6 months ago
Computing support-minimal subfunctions during functional decomposition
Abstract— The growing popularity of look-up table (LUT)based field programmable gate arrays (FPGA’s) has renewed the interest in functional or Roth–Karp decomposition techni...
Christian Legl, Bernd Wurth, Klaus Eckl
ICML
2006
IEEE
16 years 7 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
ICC
2007
IEEE
136views Communications» more  ICC 2007»
16 years 22 days ago
On the Approximation of the Linear Combination of Log-Normal RVs via Pearson Type IV Distribution: Application to UWB Performanc
— Approximating the sum of Log–Normal random variables (RVs) is a long–standing open issue, in the old and recent literature, and many approaches have been proposed to deal w...
Marco Di Renzo, Fabio Graziosi, Fortunato Santucci
PPDP
2005
Springer
15 years 12 months ago
Monadic concurrent linear logic programming
Lolli is a logic programming language based on the asynchronous propositions of intuitionistic linear logic. It uses a backward chaining, backtracking operational semantics. In th...
Pablo López, Frank Pfenning, Jeff Polakow, ...